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Suri Ganeriwala & Juli Hamlet
SpectraQuest Inc.
Richmond, VA
Wind Turbine Condition Monitoring System
Marketing Research
Outline:
Introductory comments and motivation
What is Condition monitoring
Current Companies offering CMS
SpectraQuest Advantage
Marketing Research General Guidelines-our
objectives
Introduction
 Generation of Energy is a prime factor for socioeconomic
development
 Increasing demand of energy can not be completely fulfilled by
Fossil Fuel based energy generation
 Non Conventional energy has tremendous potential as it can
play a big roll in fulfilling the future energy requirement
 Development of modern technology is making the Non
Conventional energy an efficient source of energy
Wind turbine production is one of the fastest growing industries
Rotor Blades 22.2 %
Tower 26.3 % Gear Box 12.91 %
Generator 3.44 %
Power Converter 5.01 %
Transformer 3.59 %
Brake System 1.32 %
Nacelle Housing 1.35%
Yaw System 1.25 %
Pitch System 2.66 %
Main Frame 2.8 %
Main Shaft 1.91 %
Rotor Bearings 1.22 %
Rotor Hub 1.37 %
Wind Turbine Operation/Maintenance Cost
Wind Turbine Failure Types
 Gearboxes and drive
trains have an annual
failure frequency of
~0.10, and take an
average 7 days to repair
 Composite rotor blades
are also a common
failure type with an
annual failure frequency
or ~0.15
 Source: “Blade reliability
initiative”, Paul Veers,
Sandia National Labs
Wind Power Map in USA
8201 Hermitage Rd, Richmond, VA 23228 1-804-261-3300 www.spectraquest.com
INSIDE NACELLE
Why monitor machinery?
 Prevent catastrophic failure & significant damage
 Avoid loss of life, environmental harm, economic loss
 Stop unscheduled outages
 Optimize machine performance
 Reduce repair time and spare parts inventory
 Lengthen maintenance cycle
 Reduce scrap and raw material consumption
 Increase product quality
Predictive Maintenance
Production Assurance
Safety
Quality Control
Condition Monitoring:
Condition Based Maintenance (CBM) promises to
deliver improved maintainability and operational
availability of rotating machinery while reducing life-
cycle costs.
The three critical components of CBM are:
1. Fault detection
2. Diagnostics: Determining exactly what is wrong
3. Prognostics: Determining fault severity and predicting
remaining life
Condition Monitoring
Three main steps: data acquisition, data processing
and maintenance decision-making.
Obtain data
relevant to
system health
Handle and
analyze the
data
Recommend
efficient
maintenance
decision
Types of Monitoring
Continuous
Protection
• Critical Machinery
• Shut Down Systems
• Class 1, Div 2
• API 670
• Balance of Plant
• Availability
• Maintenance
• Balance of Plant
• Maintenance
Choose based
on:
• Safety
• Failure Modes
• Equipment
Criticality
Portable
Wind Turbine Simulator
Bearing Accelerometer Placement
Accel X
Accel Y
Bearing
Mount
Bearing
Accelerometer
Accelerometer
How does a bearing vibrate?
www.pcb.com
Current Companies Offering CMS
Bently Nevada (GE)
Commtest (GE)
Bruel & Kjaer Vibro
Emerson Electric / CSI
Rockwell Automation
SKF Condition Monitoring / SKF Reliability
Systems
01dB
DLI Engineering/Azima
National Instruments
Pruftechnik
Vibration Monitoring Equipment Market
42%
10%
10%
10%
7%
6%
15%
Bently Nevada
SKF Condition Monitoring
and Vibrometer Alliance
Rockwell Automation Entek
IRD
Emerson Process CSI
Bruel & Kjaer Vibro
Shinkawa Electric
Corporation
Others
Vibration Monitoring Equipment
 Online
 Offline
Handheld/Portable: walk-
around monitoring
Portable Diagnostics: boxes
used for detailed test
•2 to 4 channels
•FFT display
•$5k to $25k
•4 to 24 channels
•Lots of analysis and display
•$5k to $50k
Real-time Monitoring:
network based nodes reporting
trends and alarms
Embedded Protection:
machine shut-down based on
key measurements
•Distributed channels (4-100’s)
•Most visualization options
•$15k to $60k
•High reliability
•Most widely used scheme
•$5k to $$25k
CSI/Emersion Electric – Models 1910 &
2130
 1910 – Spectrum Analyzer
 21 V input
 72 dB dynamic range
 12-bit A/D
 2130 – Machine Health Analyzer
 16 bit A/D
 96 dB dynamic range
 Order Tracking, Coastdown, Bearing analysis
Model 1910
Model 2130
SKF Condition Monitoring – Marlin/Microlog
 Input Voltage Range: 25 V peak AC, +/- 50 VDC
 14 bit A/D
 20 kHz signal bandwidth
 80 dB dynamic range
 60 dB of gain
 6 MB (Flash 4 MB) memory
 Connectors: BNC (3) input, output, and
tachometer/phase and multi-pin D connector.
 Tachometer: Minimum pulse amplitude 2 Vpp, 10%
rise/fall time, minimum 0.1 ms pulse width
MARLIN MCM Microlog
CMXA50
Bently Nevada (Part of GE) – 3500 Series
Over 24 modules
Vibration
Dynamic Pressure
Temperature
Process Variables
Keyphasor input module:
+0.8 to -21 V
Input range of 1 to 1,200,000 rpm
Signal range of 0.017 to 20 kHz
Bently Nevada (Part of GE) – System One
SW
 Current version: 5.0
 Process optimization
 Alarming, trending
 Exception reporting
 Web server
 SQL connectivity
 Equipment covered:
 Turbomachinery
 Compressors
 Wind Turbines
 “RulePaks” with stored diagnostics information
8201 Hermitage Rd, Richmond, VA 23228 1-804-261-3300 www.spectraquest.com
Blade Monitoring
Blade Test Setup
Thirteen accelerometers were attached to the
surface of the blade.
The blade was impacted with an instrumented
hammer at each end and in the middle.
Industry Trends
Equipment Vendor Consolidation
Consolidation has resulted in the acquisition of some
of the key industry players by larger entities
Shift from Offline to Online Monitoring
Increasing need for Integration of Condition
Monitoring systems with Plant Asset Management
systems and CMMS towards monitoring of total asset
health
Demand for Vibration Consulting and Services
Industry downturn and pursuit of cost optimization has
resulted in manpower reduction in maintenance
departments of organizations.
Technology Trends
 Tight integration into PAM/CMMS using standard
communications protocols
 Internet as enabler
 Ethernet/networked vibration systems
 PC-centric vibration monitoring systems
 More widely accepted than in other industrial applications
 Advancements in sensor technology
 TEDS = simplified setup & increased accuracy
SpectraQuest Unique Expertise
CMS:
 We already have individual components of a CMS
 We have advanced signal processing algorithms to
ACCURATELY diagnose and predict failure time to
schedule repair
 Access to the latest technology being developed by
customers using test beds supplied by SQi
Inspection & Training:
 We will also provide a new inspection and blade
monitoring system (none exist today), Training
SQi CAN offer a Total Solution
SpectraQuest Condition Monitoring System
“WindQuest”
Online Monitoring and Alarming
 Location -> Machine train -
> Sensor level conditions
 Color-coded Wind Turbine
status
 User-customizable
monitoring criteria, and
alarm levels
 Click to view sensors’
current values, waveforms
or spectra
 User-customizable raw
data storing criteria
Wind Turbine Measurement Configuration
System Structure
 On-site data acquisition/communication hardware
 Online monitoring/alarming, data archiving/trending, and
reporting generation
 Advanced analysis software for analyst to perform
in-depth diagnosis
 Remote monitoring and diagnostics capabilities
 Host Database server
Market Research Objectives
 Market Potential/Size
 How to enter market, are there any barriers?
 Market analyses (types of industries)
 Distribution Channels (Own sales office,
Representatives, Distributors/Dealers)
 Representative Agreement, and other legal issues
 Competitors and their products
 Pricing, sales/distribution structure, how do they market
 Comparison of features, strengths
31
THANKS
SpectraQuest Inc.
8201 Hermitage Rd, Richmond, VA
www. spectraquest.com
Tell: (804) 261-3300
Fax: (804) 261-3303
suri@spectraquest.com

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Wind turbine condition monitoring sqi rev

  • 1. Suri Ganeriwala & Juli Hamlet SpectraQuest Inc. Richmond, VA Wind Turbine Condition Monitoring System Marketing Research
  • 2. Outline: Introductory comments and motivation What is Condition monitoring Current Companies offering CMS SpectraQuest Advantage Marketing Research General Guidelines-our objectives
  • 3. Introduction  Generation of Energy is a prime factor for socioeconomic development  Increasing demand of energy can not be completely fulfilled by Fossil Fuel based energy generation  Non Conventional energy has tremendous potential as it can play a big roll in fulfilling the future energy requirement  Development of modern technology is making the Non Conventional energy an efficient source of energy
  • 4. Wind turbine production is one of the fastest growing industries
  • 5. Rotor Blades 22.2 % Tower 26.3 % Gear Box 12.91 % Generator 3.44 % Power Converter 5.01 % Transformer 3.59 % Brake System 1.32 % Nacelle Housing 1.35% Yaw System 1.25 % Pitch System 2.66 % Main Frame 2.8 % Main Shaft 1.91 % Rotor Bearings 1.22 % Rotor Hub 1.37 % Wind Turbine Operation/Maintenance Cost
  • 6. Wind Turbine Failure Types  Gearboxes and drive trains have an annual failure frequency of ~0.10, and take an average 7 days to repair  Composite rotor blades are also a common failure type with an annual failure frequency or ~0.15  Source: “Blade reliability initiative”, Paul Veers, Sandia National Labs
  • 7. Wind Power Map in USA 8201 Hermitage Rd, Richmond, VA 23228 1-804-261-3300 www.spectraquest.com
  • 9. Why monitor machinery?  Prevent catastrophic failure & significant damage  Avoid loss of life, environmental harm, economic loss  Stop unscheduled outages  Optimize machine performance  Reduce repair time and spare parts inventory  Lengthen maintenance cycle  Reduce scrap and raw material consumption  Increase product quality Predictive Maintenance Production Assurance Safety Quality Control
  • 10. Condition Monitoring: Condition Based Maintenance (CBM) promises to deliver improved maintainability and operational availability of rotating machinery while reducing life- cycle costs. The three critical components of CBM are: 1. Fault detection 2. Diagnostics: Determining exactly what is wrong 3. Prognostics: Determining fault severity and predicting remaining life
  • 11. Condition Monitoring Three main steps: data acquisition, data processing and maintenance decision-making. Obtain data relevant to system health Handle and analyze the data Recommend efficient maintenance decision
  • 12. Types of Monitoring Continuous Protection • Critical Machinery • Shut Down Systems • Class 1, Div 2 • API 670 • Balance of Plant • Availability • Maintenance • Balance of Plant • Maintenance Choose based on: • Safety • Failure Modes • Equipment Criticality Portable
  • 14. Bearing Accelerometer Placement Accel X Accel Y Bearing Mount Bearing Accelerometer Accelerometer How does a bearing vibrate? www.pcb.com
  • 15. Current Companies Offering CMS Bently Nevada (GE) Commtest (GE) Bruel & Kjaer Vibro Emerson Electric / CSI Rockwell Automation SKF Condition Monitoring / SKF Reliability Systems 01dB DLI Engineering/Azima National Instruments Pruftechnik
  • 16. Vibration Monitoring Equipment Market 42% 10% 10% 10% 7% 6% 15% Bently Nevada SKF Condition Monitoring and Vibrometer Alliance Rockwell Automation Entek IRD Emerson Process CSI Bruel & Kjaer Vibro Shinkawa Electric Corporation Others
  • 17. Vibration Monitoring Equipment  Online  Offline Handheld/Portable: walk- around monitoring Portable Diagnostics: boxes used for detailed test •2 to 4 channels •FFT display •$5k to $25k •4 to 24 channels •Lots of analysis and display •$5k to $50k Real-time Monitoring: network based nodes reporting trends and alarms Embedded Protection: machine shut-down based on key measurements •Distributed channels (4-100’s) •Most visualization options •$15k to $60k •High reliability •Most widely used scheme •$5k to $$25k
  • 18. CSI/Emersion Electric – Models 1910 & 2130  1910 – Spectrum Analyzer  21 V input  72 dB dynamic range  12-bit A/D  2130 – Machine Health Analyzer  16 bit A/D  96 dB dynamic range  Order Tracking, Coastdown, Bearing analysis Model 1910 Model 2130
  • 19. SKF Condition Monitoring – Marlin/Microlog  Input Voltage Range: 25 V peak AC, +/- 50 VDC  14 bit A/D  20 kHz signal bandwidth  80 dB dynamic range  60 dB of gain  6 MB (Flash 4 MB) memory  Connectors: BNC (3) input, output, and tachometer/phase and multi-pin D connector.  Tachometer: Minimum pulse amplitude 2 Vpp, 10% rise/fall time, minimum 0.1 ms pulse width MARLIN MCM Microlog CMXA50
  • 20. Bently Nevada (Part of GE) – 3500 Series Over 24 modules Vibration Dynamic Pressure Temperature Process Variables Keyphasor input module: +0.8 to -21 V Input range of 1 to 1,200,000 rpm Signal range of 0.017 to 20 kHz
  • 21. Bently Nevada (Part of GE) – System One SW  Current version: 5.0  Process optimization  Alarming, trending  Exception reporting  Web server  SQL connectivity  Equipment covered:  Turbomachinery  Compressors  Wind Turbines  “RulePaks” with stored diagnostics information
  • 22. 8201 Hermitage Rd, Richmond, VA 23228 1-804-261-3300 www.spectraquest.com Blade Monitoring
  • 23. Blade Test Setup Thirteen accelerometers were attached to the surface of the blade. The blade was impacted with an instrumented hammer at each end and in the middle.
  • 24. Industry Trends Equipment Vendor Consolidation Consolidation has resulted in the acquisition of some of the key industry players by larger entities Shift from Offline to Online Monitoring Increasing need for Integration of Condition Monitoring systems with Plant Asset Management systems and CMMS towards monitoring of total asset health Demand for Vibration Consulting and Services Industry downturn and pursuit of cost optimization has resulted in manpower reduction in maintenance departments of organizations.
  • 25. Technology Trends  Tight integration into PAM/CMMS using standard communications protocols  Internet as enabler  Ethernet/networked vibration systems  PC-centric vibration monitoring systems  More widely accepted than in other industrial applications  Advancements in sensor technology  TEDS = simplified setup & increased accuracy
  • 26. SpectraQuest Unique Expertise CMS:  We already have individual components of a CMS  We have advanced signal processing algorithms to ACCURATELY diagnose and predict failure time to schedule repair  Access to the latest technology being developed by customers using test beds supplied by SQi Inspection & Training:  We will also provide a new inspection and blade monitoring system (none exist today), Training SQi CAN offer a Total Solution
  • 27. SpectraQuest Condition Monitoring System “WindQuest”
  • 28. Online Monitoring and Alarming  Location -> Machine train - > Sensor level conditions  Color-coded Wind Turbine status  User-customizable monitoring criteria, and alarm levels  Click to view sensors’ current values, waveforms or spectra  User-customizable raw data storing criteria Wind Turbine Measurement Configuration
  • 29. System Structure  On-site data acquisition/communication hardware  Online monitoring/alarming, data archiving/trending, and reporting generation  Advanced analysis software for analyst to perform in-depth diagnosis  Remote monitoring and diagnostics capabilities  Host Database server
  • 30. Market Research Objectives  Market Potential/Size  How to enter market, are there any barriers?  Market analyses (types of industries)  Distribution Channels (Own sales office, Representatives, Distributors/Dealers)  Representative Agreement, and other legal issues  Competitors and their products  Pricing, sales/distribution structure, how do they market  Comparison of features, strengths
  • 31. 31 THANKS SpectraQuest Inc. 8201 Hermitage Rd, Richmond, VA www. spectraquest.com Tell: (804) 261-3300 Fax: (804) 261-3303 suri@spectraquest.com