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IOT Based Machine Health Monitoring System
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 04 | Apr 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1775 IOT Based Machine Health Monitoring System Asavari Anil Kulkarni1, Prajkta Santoshrao Muneshwar2, Nikhita Maruti Parit3, Pallavi Bhimrao Mistry4, Dnyanesh Amar Tarlekar5, Prof. Vaibhav B Magdum6 12345Student, B.Tech. Electrical Engineering, 6Assistant Professor, Dept. of Electrical Engineering, DKTE Society’s Textile and Engineering Institute, Ichalkaranji, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Machine health monitoring in today’s complex plant systems has gained more prominence than ever before because of steep increase in machinery costs, plant investments and maintenance expenses. A breakdown in any one machine or a component in a plant could mean huge losses coupled with safety and environmental threats as inthe case industrial and commercial plants. The advances in manufacturing technology and the competition in the market necessitate the continuous availability of machinery for production. This has created a need for integrating maintenance with other manufacturing activities for better plant availability and efficiency. The objective of present research work is to present one such Machine health monitoring (MHM) system developed using knowledge-based systems. The proposed model can be a usefulmaintenancetool in majority of small and medium scale manufacturing plants. A comprehensive knowledge-based system (KBS) could be developed over a periodoftimeforindustrialmachinerywhich can monitor the major machinery faults and provide expert maintenance solutions through measurement and analysis of machine parameters such as power, vibration, noise, temperature, wear debris, lubricant condition, etc. A fault diagnosis system with KBS is based on computer programs interlinking fault symptoms, faults and remedies. Key Words: Industrial 3 phase load, Speed, Wear debris, Lubrication, Temperature, Vibration etc. 1. INTRODUCTION The machine health monitoring system is used to measure various parameters of 3 phase machines like 1) over voltage and under voltage 2) over current and under current3)over temperature 4) over speed by using Arduino and IOT technology. The proposed system uses sensors like temperature sensor and inductive type proximity sensor. These sensors mainly involve monitoring of temperature and speed. We divide project in 3 units like indicating unit, sensing unit and controlling unit.in indicating unit we show the electrical parameters like voltage and current perphase. In sensing unit, the standard rating of various devices is set and when the electrical quantity is increased or decreased according to that Parameter this relay will turn off the system in abnormal condition. In Controlling unit when the electrical parameters are same as set value then machine turns on automatically. We use IOT based GSM for the sending message to the operator for knowing the condition of machine. 1.1 Problem Statement and Remedies The machine health monitoring system is based on a real time morning application therefore, we have visited a small- scale industry named as ‘Kambale Textiles’. There are 40 motors installed in industry for 40 loom machines. If anyone motor gets affected by a minor fault, then whole system depending on that motor will stop operating. Loss due to one machine shut down can cause loss of Rs 70/- then approximated loss of 40 loom machines for 1Hr will be cause loss of Rs 2800 Rs. Thisloss happens becauseof the minor faults in motor like voltage spick and also during operation mechanical faults in machines produce unique vibrations which depend upon the geometry of the machine elements such as shaft, spindle etc., and shaft rotation speed which is main cause to damages the motor. Minor faults which will if not corrected atthat instant then theywillcause a big damage to machine. Hence, we worked on project and get the solutions: - 1)For bearing problem we are using proximity sensor that will sense minor changeindistanceofbearingwhichwill if ignored then it leads to blocking of shaft hence it avoids using this sensor 2)If single phasing occurs then the motor will get shut down to avoid further damage. 3)By balancing voltage and current starting torque will not get affected. 1.2 Objective and Scope of Project The objective of present research work is to present one such machine health monitoring (MHM) system developed using knowledge-basedsystems.Theproposedmodel canbe a useful maintenance tool in majority of small and medium scale manufacturing plant. Machine health data takes the guesswork out of which machines in our line we need to optimize, and predictive insights allow us to implement changes in production to
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 04 | Apr 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1776 maintain high-quality output standards in weeks or even days instead of the typical year-long implementation process. With machine health data, we can also see the true indicators of productivity and efficiency. A machine health platform can give us real-time insights into how machine performance correlates to the quality of our outputs and the potential to maintain that quality down the line. 2. WORKING Working of the Project is mainly classified by following sections: Display Unit Control Unit. Display Unit: - The display Unit is the information status about all devices. In display unit all the Electrical Parameters like Voltage, Current, Frequency, Speed, Temperature, power factor, phase reversal, phase asymmetry is displayed. Control Unit: - In the control Unit is the control of various Electrical parameters are controlled. In control unit we control the following parameters: - Voltage Controller: • Under Voltage • Over voltage • Voltage Asymmetry • Power factor • Phase reversal Current Controller: • Under Current • Over current Frequency Controller: • Under frequency Temperature Controller: • Over temperature Speed Controller: • Under speed • Over speed Machine health monitoring is the ability to access the electrical parameters of a machine over a period of time. Firstly, we enter the rated value of the three-phase load in the controller unit as per Indian standard. When the faults occur the electrical parameters like voltage, current, PF, frequency, speed are changes. These values are compared with the rated value and the according to which parameter are abnormal (above or under) these relay unit sense this and send signal to the microcontroller to turn off the respected unit of the machine. Then IOT based GSM unit send text message of all real time value of the machine tothe Operator. In this way project provides an automated and Real-Timed monitored solution for the traditional water supply system through smart features of the project ‘MACHINE HEALTH MONITORING SYSTEM’ Block diagram Table-1: Main Sensors used FUTURE SCOPE In proposed system, there is a flexibility of adding new technologies and advanced equipment’s like advanced sensors for example, waterproof sensors can be employed for application like Jack well or Submerged motors, etc. 4. CONCLUSION This project holds the concept of modifying the traditional machine health monitoring system intoa IOTbasedmachine health monitoring system. It encompasses the programmed way of monitoring and auto correcting the industrial or commercial users and making a reliable solution for those users. This project contributes for reliable and efficient solution by providing the scheduled way of minimizing the faults and also at the same time all the electrical parameters of the system can be monitored in real time using IOT. The Sr. No Sensors Specification Quantity 1) Voltage Sensor 0 –500-volt, ADC type 01 2) Current Sensor 0 – 500 amp, CT operated sensor 01 3) Temperature Sensor PT – 100 Pencil type analog sensor 01 4) Distance Sensor Ultrasonic digital 5 volts DC operated distance sensor 01 5) Speed Sensor Tachometer 01
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 04 | Apr 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1777 Real-Time operating condition of the system is monitored and during both the condition’s that is normal andabnormal it gives signal through text message to the operator. ACKNOWLEDGEMENT We would like to express our special thanks with gratitude to our guide Prof. Vaibhav B. Magdum, AssistantProfessorin Electrical Engineering Department, for the whole support, innovativeideasandencouragementthatwereceivedduring the entire course of project work. Our sincere thanks go to all the faculty and supporting staff of the Electrical Engineering department,forhelpingdirectly or indirectly as and when required. REFERENCES 1) D. Looney M (2014) An introduction to MEMS vibration monitoring. Analog Dialogue 48(06). 2)Bruel & Kjaer (1982) Measuring vibration-an elementary introduction. K Larson and Son Publication; Denmark, Revised edition. 3)Feng Z, Liang M, Chu F (2013) Recent advances in time– frequency analysis methods for machinery fault diagnosis: a review with application examples. Mechanical system process. BIOGRAPHIES Miss. Asavari Anil Kulkarni Btech from DKTE Society’s Textile and Engineering Institute. Has completed diploma from Shri Siddheshwar Women’sPolytechnic Solapur. Miss. Prajkta Muneshwar. Btech from DKTE Society’s Textile and Engineering Institute. Has completed diploma from Government Polytechnic Yavatmal. Miss. Nikhita Maruti Parit. Btech from DKTE Society’s Textile and Engineering Institute. Has completed diploma from Government PolytechnicKolhapur. Miss. Pallavi Bhimrao Mistry. Btech from DKTE Society’s Textile and Engineering Institute. Has completed HSC from M. H. Highschool Junior College, Thane Mrs. Dnyanesh Amar Tarlekar. Btech from DKTE Society’s Textile and Engineering Institute. Has completed HSC from Sangola Vidyamandir Prashala and Junior College, Sangola. Mr. Vaibhav Baburao Magdum is M.E. in Electrical Power system from PVGCOET, Pune (MS). He is B.E. Electrical from AISSMS, COE, Pune, (MS). Presently he is working as Assistant Professor in DKTE Society’s Textile & Engineering Institute, Ichalkaranji. His research areas include Electrical Machines, Drives, Power System, Switchgear & Protection. He has published and presented the papers inInternational Journals and International/National conferences. He is a Life memberof Indian Society of Technical Education, New Delhi.
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