Vibration analysis
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Vibration analysis can provide very useful information about the status of the equipment and the nature and severity of the problem. It is possible to use these information to plan all maintenance activities and minimize machine downtime.
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Machine Vibration Analysis
This document provides information about vibration analysis and monitoring. It defines key vibration terms like displacement, velocity, acceleration, and frequency. It describes common applications of vibration analysis in industries. It explains how vibration analysis can be used to improve reliability by identifying root causes of faults and ensuring machines are properly maintained. The document discusses different methods of vibration data collection, from simple meters to professional analyzers. It provides an example of a vibration case study on a centrifugal fan and highlights the importance of vibration monitoring in preventing machine failures.
Condition monitoring
Failure Process and Cost to Repair
From Regular Inspections to Condition Monitoring
Identify Potential Failure
Condition Monitoring
Condition Monitoring Measurements
Condition Based Maintenance (CBM) Strategy
Condition Monitoring Techniques
Oil Analysis
Vibration Analysis
Factors Causing Vibrations
Vibration Analysis Sensor
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Dynamic Vibration Analysis
Vibration Data Plotting
Process Vibration Alarms ISO API Standards
Conclusion – Vibration Analysis
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Vibration monitoring
This document discusses vibration monitoring and analysis techniques for machine maintenance. It covers three types of maintenance schemes: breakdown, preventive, and condition-based maintenance. Vibration monitoring is described as the most common condition monitoring method, where vibration levels are measured to predict failures. Two types of vibration monitoring systems - periodic and permanent - are outlined. Vibration analysis techniques including time-domain and frequency-domain analysis are explained. Data acquisition and interpretation methods are also summarized. The role of computers in vibration-based condition monitoring programs is briefly described.
Introduction to vibration monitoring
Vibration monitoring is used to monitor machinery condition by measuring vibration levels. As machinery deteriorates, vibration levels increase, allowing early detection of issues. Vibration is caused by unbalanced rotating parts, misalignment, and other factors. Vibration is measured using transducers, which convert physical vibrations into electrical signals. The best transducer depends on factors like sensitivity, operating range, accuracy, reliability, and cost. Common transducers measure displacement, velocity, or acceleration by using inductance, motion between parts, or force on piezoelectric materials.
Vibration monitoring and its features for corelation
The document discusses vibration theory, including definitions of acceleration, velocity, displacement and simple harmonic motion. It describes quantifying vibration amplitude using peak-to-peak, peak, average and RMS levels. It also covers the differences between time and frequency domain analysis and concepts of phase angle measurement in condition monitoring. Condition monitoring strategies aim to focus on critical machinery by defining detectable faults and relevant measurement parameters.
Condition monitoring
This document discusses various methods of condition monitoring for machines, including vibration monitoring, lubricant analysis, acoustic emission, infrared thermography, and ultrasound emission. Vibration monitoring uses accelerometers to detect vibrations which can indicate developing faults. Lubricant analysis examines oil properties, contaminants, and wear debris to monitor machine health. Acoustic emission detects elastic waves from structural changes to identify cracks. Infrared thermography uses thermal cameras to detect temperature variations that may indicate issues. Ultrasound emission employs transducers that use the piezoelectric effect to generate and detect ultrasound waves for non-destructive testing of materials.
Vibration analysis to find out fault in machines
This document provides an overview of vibration analysis and predictive maintenance. It discusses maintenance philosophies like breakdown, preventive, predictive, and proactive maintenance. Predictive maintenance uses condition monitoring techniques like vibration analysis to determine the condition of machines and identify faults. Vibration analysis measures characteristics like displacement, velocity, acceleration, frequency, and phase to determine how much vibration is present, what defects are causing it, and which machine parts are affected. Understanding vibration signatures can reveal problems like unbalance, misalignment, looseness, and bearing defects.
Vibration Analysis
Vibration analysis uses FFT to transform time domain vibration data into the frequency domain spectrum. Key parameters like acceleration, velocity, crest factor, kurtosis, and noise levels are used to monitor rotational forces, impacts/shocks, and friction within machines. Fault frequencies corresponding to machine components like bearings and gears are identified and compared to spectral peaks to diagnose issues. Phase analysis can also identify unbalance or misalignment. Proper data collection and machine parameters like RPM are critical for effective vibration analysis.
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Machine Vibration Analysis
This document provides information about vibration analysis and monitoring. It defines key vibration terms like displacement, velocity, acceleration, and frequency. It describes common applications of vibration analysis in industries. It explains how vibration analysis can be used to improve reliability by identifying root causes of faults and ensuring machines are properly maintained. The document discusses different methods of vibration data collection, from simple meters to professional analyzers. It provides an example of a vibration case study on a centrifugal fan and highlights the importance of vibration monitoring in preventing machine failures.
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Identify Potential Failure
Condition Monitoring
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Condition Based Maintenance (CBM) Strategy
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Oil Analysis
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Factors Causing Vibrations
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Vibration monitoring
This document discusses vibration monitoring and analysis techniques for machine maintenance. It covers three types of maintenance schemes: breakdown, preventive, and condition-based maintenance. Vibration monitoring is described as the most common condition monitoring method, where vibration levels are measured to predict failures. Two types of vibration monitoring systems - periodic and permanent - are outlined. Vibration analysis techniques including time-domain and frequency-domain analysis are explained. Data acquisition and interpretation methods are also summarized. The role of computers in vibration-based condition monitoring programs is briefly described.
Introduction to vibration monitoring
Vibration monitoring is used to monitor machinery condition by measuring vibration levels. As machinery deteriorates, vibration levels increase, allowing early detection of issues. Vibration is caused by unbalanced rotating parts, misalignment, and other factors. Vibration is measured using transducers, which convert physical vibrations into electrical signals. The best transducer depends on factors like sensitivity, operating range, accuracy, reliability, and cost. Common transducers measure displacement, velocity, or acceleration by using inductance, motion between parts, or force on piezoelectric materials.
Vibration monitoring and its features for corelation
The document discusses vibration theory, including definitions of acceleration, velocity, displacement and simple harmonic motion. It describes quantifying vibration amplitude using peak-to-peak, peak, average and RMS levels. It also covers the differences between time and frequency domain analysis and concepts of phase angle measurement in condition monitoring. Condition monitoring strategies aim to focus on critical machinery by defining detectable faults and relevant measurement parameters.
Condition monitoring
This document discusses various methods of condition monitoring for machines, including vibration monitoring, lubricant analysis, acoustic emission, infrared thermography, and ultrasound emission. Vibration monitoring uses accelerometers to detect vibrations which can indicate developing faults. Lubricant analysis examines oil properties, contaminants, and wear debris to monitor machine health. Acoustic emission detects elastic waves from structural changes to identify cracks. Infrared thermography uses thermal cameras to detect temperature variations that may indicate issues. Ultrasound emission employs transducers that use the piezoelectric effect to generate and detect ultrasound waves for non-destructive testing of materials.
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This document provides an overview of vibration analysis and predictive maintenance. It discusses maintenance philosophies like breakdown, preventive, predictive, and proactive maintenance. Predictive maintenance uses condition monitoring techniques like vibration analysis to determine the condition of machines and identify faults. Vibration analysis measures characteristics like displacement, velocity, acceleration, frequency, and phase to determine how much vibration is present, what defects are causing it, and which machine parts are affected. Understanding vibration signatures can reveal problems like unbalance, misalignment, looseness, and bearing defects.
Vibration Analysis
Vibration analysis uses FFT to transform time domain vibration data into the frequency domain spectrum. Key parameters like acceleration, velocity, crest factor, kurtosis, and noise levels are used to monitor rotational forces, impacts/shocks, and friction within machines. Fault frequencies corresponding to machine components like bearings and gears are identified and compared to spectral peaks to diagnose issues. Phase analysis can also identify unbalance or misalignment. Proper data collection and machine parameters like RPM are critical for effective vibration analysis.
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The document discusses vibration analysis techniques used for predictive maintenance. It begins with an introduction to SKF Reliability Systems and their network in Asia Pacific. It then covers maintenance philosophies focused on prevention rather than failure. Key concepts of vibration analysis are explained, including how measurements are performed, common measurement types and units, and analyzing vibration spectra. The document provides examples of vibration data and outlines how spectra are used to identify common machine faults.
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This document discusses vibration monitoring and analysis. It defines vibration as the motion of mechanical parts back and forth from their neutral position, which is caused by induced forces and freedom of movement. Excessive vibration can have harmful effects like increased load on bearings, higher stresses on components, and reduced equipment efficiency. Common problems that cause vibration include unbalance, misalignment, looseness, and defects. Vibration monitoring involves measuring parameters like displacement, velocity, acceleration, and using tools like FFT analysis to identify frequencies associated with faults. Understanding phase and trends in vibration spectra over time helps with condition monitoring and predictive maintenance of machinery.
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VIBRATION-ANALYSIS.ppt
Vibration analysis is a non-destructive technique used to detect machine problems by measuring vibration. It can detect issues like unbalance, misalignment, bent shafts, bearing defects, and more. Vibration is measured by devices that detect displacement, velocity, or acceleration. Fast Fourier Transform (FFT) analysis breaks down vibration data into individual frequency components to help identify the source of issues. Manual vibration analysis involves examining FFT spectra and phase readings to diagnose specific faults based on indicators like dominant frequencies and amplitude readings.
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1) Vibration is the motion of mechanical parts back and forth from its position of rest. It is caused by an induced force and freedom for movement.
2) Vibration amplitude can be measured as displacement, velocity, or acceleration, with different units providing information about strain, fatigue, and forces.
3) Vibration analysis can detect faults like unbalance, misalignment, bearing defects, and more by examining the ratios of horizontal, vertical, and axial amplitudes and frequency spectrum characteristics.
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Bva apr-03 (1)
This document provides an overview of vibration analysis for aviation maintenance. It defines key terminology like amplitude, velocity, acceleration, frequency, and types of vibration. It describes how vibration is measured using sensors and analyzed in the time and frequency domains. It explains different types of vibration surveys and how to interpret survey results. It also covers the fundamentals of balancing rotating components and implementing a predictive maintenance program using vibration analysis.
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This document discusses vibration monitoring and analysis. It defines vibration as the motion of mechanical parts back and forth from their neutral position, which is caused by induced forces and freedom of movement. Excessive vibration can have harmful effects like increased load on bearings, higher stresses on components, and reduced equipment efficiency. Common problems that cause vibration include unbalance, misalignment, looseness, and defects. Vibration monitoring involves measuring parameters like displacement, velocity, acceleration, and using tools like FFT analysis to identify frequencies associated with faults. Understanding phase and trends in vibration spectra over time helps with condition monitoring and predictive maintenance of machinery.
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This document discusses condition based maintenance (CBM). It begins by defining CBM as using real-time sensor data to identify developing faults before they become critical in order to better plan maintenance. It then lists some benefits of CBM such as improved productivity, quality, and profitability. The document goes on to describe common CBM methods like vibration monitoring, temperature monitoring, and lubricant analysis. It notes that CBM can result in cost savings of 8-12% compared to preventive maintenance alone. The document concludes by giving some examples of industrial applications for CBM.
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This document discusses vibration analysis at thermal power plants. It outlines the objectives of vibration monitoring, which include improving equipment protection, safety, maintenance procedures, and extending equipment life. Vibration monitoring measures characteristics like amplitude and frequency to identify abnormal conditions. Common defects that can be detected through vibration analysis are unbalance, misalignment, loose components, rotor rub, bearing issues, and blade/vane pass frequencies. Online monitoring systems are used at thermal plants to continuously monitor critical equipment like turbines, generators, and pumps to detect faults early and avoid failures. Standards provide guidelines for effective vibration analysis and maintenance.
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Vibration analysis is a non-destructive technique used to detect machine problems by measuring vibration. It can detect issues like unbalance, misalignment, bent shafts, bearing defects, and more. Vibration is measured by devices that detect displacement, velocity, or acceleration. Fast Fourier Transform (FFT) analysis breaks down vibration data into individual frequency components to help identify the source of issues. Manual vibration analysis involves examining FFT spectra and phase readings to diagnose specific faults based on indicators like dominant frequencies and amplitude readings.
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A basic understanding of Vibration analysis of machinery and structures. I prepared this slides for one of my training for clients in the military many years back. Its not updated yet, but gives readers idea of the practical fundamentals of vibration analysis.
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One of the most powerful tools to deploy reliability centered maintenance are portable vibration measurements. With the new portable vibration analyser of Emerson, portable vibration analysis is now made easier than ever before. By the following slidedeck you'll get an introduction to the basics of vibration analysis and the capabilities of the CSI2140
1 vibration basics0
1) Vibration is the motion of mechanical parts back and forth from its position of rest. It is caused by an induced force and freedom for movement.
2) Vibration amplitude can be measured as displacement, velocity, or acceleration, with different units providing information about strain, fatigue, and forces.
3) Vibration analysis can detect faults like unbalance, misalignment, bearing defects, and more by examining the ratios of horizontal, vertical, and axial amplitudes and frequency spectrum characteristics.
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Thanks for watching this presentation.
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This document proposes predictive maintenance services from Total Reliability Professionals including vibration analysis, thermography, ultrasound leak detection, and lubrication auditing. It would involve John Ciulla, a reliability engineer with extensive experience and qualifications in vibration analysis, thermography, ultrasound, and predictive maintenance strategies. Key services detailed include vibration analysis, thermography, ultrasound leak detection, lubrication programs, and maintenance program audits. Cost savings from preventing failures and improving maintenance strategies are emphasized.
PDM IMPLIMENTATION
This document discusses the implementation of condition monitoring programs. It begins by defining condition-based maintenance (CBM) and explaining that the goal of CBM is to ensure safe and reliable equipment operation at optimal cost. It then lists reasons why CBM is required, such as improved quality, cost benefits from reduced downtime and maintenance, and ensuring equipment is available when needed. The document provides an overview of common condition monitoring technologies like vibration analysis, ultrasonics, thermography, and oil analysis. It also discusses best practices for setting up a CBM program, including selecting critical equipment and components to monitor, establishing measurement parameters and frequencies, and implementing the program in a phased approach.
Understanding Maintenance Process For C&I Engineer.pptx
Maintenance Types, Process, schedule, reducing failures, etc for engineers.
1. helps in interview preparation.
2. helps in knowledge boosting.
3. helps in seminar preparation.
4. helps in fault minimization.
5. helps in increasing machine performance. etc.
Alpha mineral processing plants predictive maintenance
The document discusses Alpha's predictive maintenance system for mineral processing plants. The system uses sensors and IoT technology to detect potential equipment faults before they cause failures or downtime. It analyzes data using machine learning to identify issues and provide maintenance recommendations. This helps maximize equipment lifespan, avoid unexpected downtime, and optimize operations to increase productivity and reduce costs for mineral processing companies.
International Journal of Engineering Research and Development (IJERD)
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
201421402011.pptx
The document presents a project on using nonlinear time-series analysis and machine learning algorithms to identify and predict machine faults in rotating machinery. Sensor data is collected from a machine fault simulator and analyzed using time-series analysis, FFT, recurrence plots, and a GRU machine learning model to classify data from good bearings, faulty bearings, and rubbing conditions and forecast future failures. The analysis identified a faulty bearing as the primary cause of deterioration, while the machine learning model validated the need for prompt intervention to address issues and enable proactive maintenance.
Project Proposal for Predictive Maintenance Power Plant
S1. The document proposes establishing an industrial predictive maintenance and troubleshooting lab in Bangladesh to help power generation and production plants minimize costs and downtime through non-destructive testing (NDT) and condition monitoring techniques.
S2. The lab would develop NDT and condition monitoring facilities using methods like vibration analysis, oil analysis, ultrasonic testing, and thermal analysis to detect problems in power plants and save plants from failures.
S3. This predictive maintenance approach aims to reduce maintenance costs, minimize unplanned shutdowns, and increase plant efficiency and availability.
TRP
This document proposes predictive maintenance services from Total Reliability Professionals. It would provide vibration analysis, thermography, ultrasound leak detection, lubrication auditing and oil analysis. The key contact is John Ciulla who has extensive experience in reliability engineering. Predictive maintenance using techniques like vibration analysis can find problems before failures occur, saving money compared to reactive maintenance. Case studies show how these techniques have found issues and prevented costly downtime.
Trp reliability presentation 2
Total Reliability Professionals provides predictive maintenance services including vibration analysis, thermography, ultrasound leak detection, and lubrication auditing to industries such as aluminum, pulp and paper, food, plastics, and pharmaceuticals. Their core competency is vibration analysis, and they present a case study of detecting a failing bearing in a pulp mill washer roll using vibration analysis. They advocate for predictive maintenance over run-to-failure or preventative maintenance alone, citing lower maintenance costs and fewer unexpected failures. President Johnnie Ciulla has extensive experience and qualifications in reliability fields including vibration analysis.
Advanced condition monitoring system for rotating machines
Production program from Končar Institute covering solutions for predictive maintenance and asset management.
Advanced condition monitoring system for rotating machines
The document discusses advanced condition monitoring systems for rotating machines developed by Koncar Monitoring Systems. It describes their modular monitoring solutions that can be customized for different industries and machine types. The systems help optimize maintenance, reduce costs, and extend machine lifetime by detecting problems early through continuous monitoring of key parameters. Koncar also offers portable diagnostic instruments, training, expert support services, and research to help clients maintain their equipment more efficiently.
Advanced condition monitoring system for rotating machines
Production program from Končar Institute covering solutions for predictive maintenance and asset management.
Maintenance engineering- Unit- 3
This document discusses condition monitoring of machinery. It defines condition monitoring as monitoring parameters that can indicate developing failures. It discusses methods of condition monitoring including vibration monitoring, thermography analysis, and oil analysis. It also discusses establishing a condition monitoring program which involves determining the appropriate monitoring system, creating a list of machines to monitor, and selecting measurement locations and time intervals.
Preventive maintenance
Preventive maintenance aims to prevent equipment failures through a scheduled program of planned maintenance actions. It involves replacing worn components before failure to preserve reliability and enhance equipment performance. An effective preventive maintenance system provides many advantages like reduced downtime, increased asset life, and lower repair costs. While preventive maintenance carries some risks if not properly planned and executed, its overall costs are typically much lower than emergency maintenance required by unexpected failures. Data-driven condition monitoring techniques help optimize preventive maintenance programs.
FNT Avanced Services Condition Monitoring presentation for Shipping Companies
FNT Advanced Services Ltd is a maintenance consulting company based in Greece that provides condition monitoring services using techniques like vibration analysis, infrared thermography, and oil analysis. It helps maritime and industrial customers implement condition-based maintenance strategies to detect maintenance issues early, reduce costs, and plan repairs. FNT's services include on-site and remote machinery monitoring, troubleshooting, pre-inspection surveys, and training. The company has experience in monitoring a wide range of shipboard assets to diagnose issues like bearing wear and unbalance using vibration analysis.
How to develop pm tasks for a machine
1) The document discusses developing a machine-centered preventative maintenance program that optimizes machine health rather than focusing on individual technologies or minimizing costs.
2) It recommends taking a systematic approach of first identifying possible machine failures, determining which are most significant, trying to avoid failures, getting early warnings of failures that can't be avoided, tailoring tests to detect those warnings, and collecting all machine health data at key decision points.
3) This machine-centered approach aims to better assess overall machine health, catch issues earlier, defer unnecessary overhauls, and improve failure management compared to traditional technology-centered programs.
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Understanding Maintenance Process For C&I Engineer.pptx
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Alpha mineral processing plants predictive maintenance
Alpha mineral processing plants predictive maintenance
International Journal of Engineering Research and Development (IJERD)
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Project Proposal for Predictive Maintenance Power Plant
Advanced condition monitoring system for rotating machines
Advanced condition monitoring system for rotating machines
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Vibration analysis
- 2. «Short answer»: Machines with faults that can ultimately result in failure, secondary damage, and downtime, will vibrate in characteristic way; The vibration analysis give us information about the nature of problem and the severity of the fault; We can use these information to plan maintenance activities minimizing machine downtime and reducing plant costs. The following can be avoid: - Catastrophic failure - Secondary damage - Additional spare parts costs - Unnecessary overtime - Injury to staff Why do we perform vibration analysis
- 3. • Reduces equipment costs – repair is made prior to failure, without replacing the entire equipment. • Reduces labor costs – Scheduling the repairing, it’s possible to reduce required time. • Reduces lost production time – A proactive maintenance department can head off critical failure downtime by scheduling repair during non-productive times. • Increases safety – Predictive maintenance would allow potential problems to be fixed before failure occurs. • Increases revenue – Optimizing the maintenance on good components and reducing time for faulty components repairing. • Increases efficiency of employee time – It will increase effective “wrench time.” Costs reduction
- 4. Vibration analysis is useful for all types of rotating equipment, including the following: Turbines Agitators Mixers Compressors Paper machines Extruders Pumps Fans Refiners Generator sets Where do we perform vibration analysis
- 5. Vibration measurements done according to dedicated programme allow us to detect : problems with couplings (misalignment, loose coupling) unbalance of the rotors irregularities of the relative and absolute displacements irregularities of bearings irregularities of control valves and steam distribution rubbing, deformations, leaks thermal instabilities irregularities of the mechanical and electrical systems of the generator (rotor, stator) Others … What do we detect with the vibration analysis
- 6. Common Machinery Faults Unbalance Bent shaft Eccentricity Misalignment Looseness Belt drive problems Gear defects Bearing defects Electrical faults Oil whip / whirl Cavitation Shaft cracks Rotor rubs Resonance Hydraulic + aerodynamic forces
- 8. Machinery Data Collection Vibration data is collected through manual routes. Wireless or continuos monitoring systems Monitoring & Analysis Expert analysis of machinery conditions and reccomended actions Report Interpretation & Corrective Actions Take corrective maintenance actions to mitigate developing The steps
- 9. TurboGenerator installed on Offshore Platform was experiencing high vibration issue, forcing the plant to reduce production levels. GSS Vibration expert performed on-site Analysis and Trim Balance in order to reduce vibration levels. All actviities was carried on site, without dismantling the Gas Turbine and saving time and cost. Case History 1 – TURBOGENERATOR High Vibration
- 10. Steam Turbine and Compressor were succesfully shop tested prior shipment. After installation on site, one compressor shown high vibration on bearings. GSS Vibration expert performed on-site analysis acquiring vibration data and machine information. The analysis highlight a incorrect installation of compressor sealing, that was replaced and the vibration level was reduced. Case History 2 – CENTRIFUGAL COMPRESSOR Vibration The vibration analysis allow to clearly identify the failure, in a short time and avoiding to return the machine to the shop.
- 11. Case History 3 – STEAM TURBINE Monitoring Steam Turbine was experiencing high vibration and could’not be operated at baseload, loosing production. GSS Diagnostic expert install a complete remote monitoring system, able to acquire vibration and machine process data and share with Engineering HQ. All the installation job was completed in one week, thanks to the GSS DASbox, allowing the unit to be remote monitored and the vibration issue was solved by Engineering HQ.
- 12. Web site: www.gssnet.eu Contact: info@gss-eu.com Sales Department: matilde.rosati@gss-eu.com Ph/Fax +39 055 0126653 Mob. +39 3392203342 Follow us Registered Office: Via Iacopo Vignali n. 42 50142 Firenze (FI) Italy VAT: IT05998230485 Fiscal Code: 05998230485 Registro delle Imprese di Firenze R.E.A. Firenze: 591900 Ph/Fax + 39 055 0126653