Real Time Remote Monitoring and Fault Detection in Wind Turbine
In new energy development, wind power has boomed.
It is due to the proliferation of wind parks and their operation in
supplying the national electric grid with low cost and clean resources.
Hence, there is an increased need to establish a proactive
maintenance for wind turbine machines based on remote control and
monitoring. That is necessary with a real-time wireless connection in
offshore or inaccessible locations while the wired method has many
flaws. The objective of this strategy is to prolong wind turbine
lifetime and to increase productivity. The hardware of a remote
control and monitoring system for wind turbine parks is designed. It
takes advantage of GPRS or Wi-Max wireless module to collect data
measurements from different wind machine sensors through IP based
multi-hop communication. Computer simulations with Proteus ISIS
and OPNET software tools have been conducted to evaluate the
performance of the studied system. Study findings show that the
designed device is suitable for application in a wind park.
[1] M. L. Sin, W. L. Soong and N. Ertugrul, “On-Line Condition Monitoring
and Fault Diagnosis - a Survey” Australian Universities Power
Engineering Conference, New Zealand 2003
[2] Ouadie Bennouna et al, “Condition Monitoring & Fault Diagnosis
System for Offshore Wind Turbines”, https://zet10.ipee.pwr.wroc.pl/
record/425/files/invited_paper_3.pdf
[3] Elie Al-Ahmar et al, “Wind Energy Conversion Systems Fault Diagnosis
Using Wavelet Analysis”, International Review of Electrical Engineering
3, 4 2008, pages: 646-652
[4] M.L. Sin et al, “Induction Machine On-Line Condition Monitoring and
Fault Diagnosis – A Survey”, http://www.academia.edu/416441/
Induction_Machine_on_Line_Condition_Monitoring_and_Fault_Diagno
sis_A_Survey
[5] K. K. Pandey et al, “Review on Fault Diagnosis in Three-Phase
Induction Motor”, MEDHA – 2012, Proceedings published by
International Journal of Computer Applications (IJCA)
[6] E. Al Ahmar et al, “Advanced Signal Processing Techniques for Fault
Detection and Diagnosis in a Wind Turbine Induction Generator Drive
Train: A Comparative Study”, IEEE Energy Conversion Congress and
Exposition (ECCE), Atlanta: États-Unis 2010
[7] Hamid A. Toliyat et al., “Electric Machines Modeling, Condition
Monitoring, and Fault Diagnosis”, CRC Press Taylor & Francis Group
NW 2013, ISBN-13: 978-1-4200-0628-5
[8] R. W. Hyers et al., “Condition monitoring and prognosis of utility scale
wind turbines”, Institute of Materials, Minerals and Mining and W. S.
Maney & Son Ltd Energy Materials 2006, Vol.1 No.3, pages 187-203
[9] Julia Nilsson et al., “Maintenance Management of Wind Power Systems
Using Condition Monitoring Systems-Life Cycle Cost Analysis for Two
Case Studies”, IEEE Transactions On Energy Conversion, Vol. 22, No.
1, March 2007
[10] Mohanraj.M et al., “A CAN Bus based system for monitoring and fault
diagnosis in Wind Turbine”, International Conference on Emerging
Trends in VLSI, Embedded System, Nano Electronics and
Telecommunication System (ICEVENT), Tiruvannamalai, 7-9 Jan 2013,
pages 1-3
[11] Chun-Liang Hsu, “Constructing transmitting interface of running
parameters of small-scaled wind-power electricity generator with WSN
modules”, Expert Systems with Applications Journal 37, Elsevier 2010,
pages 3893–3909
[12] Ammar Zaher et al., “Database Management for High Resolution
Condition Monitoring of Wind Turbines”,
Proceedings of the 44th International Universities Power Engineering
Conference (UPEC), Glasgow 1-4 Sept. 2009
[13] M.C. Mallikarjune Gowda et al, “Improvement of the Performance of
Wind Turbine Generator Using Condition Monitoring Techniques”,
Proceedings of 7th International Conference on Intelligent Systems and
Control (ISCO 2013), IEEE 2012
[14] Yassine Amirat et al, “Wind Turbines Condition Monitoring and Fault
Diagnosis Using Generator Current Amplitude Demodulation”, IEEE
International Energy Conference and Exhibition (EnergyCon), 2010
[15] Lucian Mihet Popa et al., “Condition Monitoring of Wind Generators”,
IEEE Industry Applications Society 38th Annual Meeting, IAS'03, Salt
Lake City, Utah USA, October 2003, Vol. 3 IEEE Signal Processing
Society, p.1839-1846.
[16] Christopher J. Crabtree, “Survey of Commercially Available Condition
Monitoring Systems for Wind Turbines”, Durham University School of
Engineering and Computing Sciences, 2nd November 2010, Revision:
05
[17] Shuangwen Sheng and Paul Veers, “Wind Turbine Drive train Condition
Monitoring – an Overview”, Mechanical Failures Prevention Group:
Applied Systems Health Management Conference Virginia Beach,
Virginia May 10 – 12, 2011
[18] Xiang Gong, “On-line Non-Intrusive Condition Monitoring and Fault
Detection for Wind Turbines”, DigitalCommons@University of
Nebraska - Lincoln
[19] Martin Kluge and Michael Danitschek, “Condition Monitoring Systems
(CMS) in wind turbines”, ifm electronic gmbh, update version:
22.07.2010
[20] Juha Tuominen, “Hydraulic Boom Monitoring With IEEE 802.11 Based
Wireless Sensors Network”, Master of Science Thesis, Tampere
University of Technology, October 2009
[21] I. Ahmed et al., “A Baseline Study for On-Line Condition Monitoring of
Induction Machines”, Australasian Universities Power Engineering
Conference (AUPEC), 26-29 September 2004, Brisbane, Australia
[22] C. J. Crabtree et al., “Detecting Incipient Wind Turbine Gearbox Failure:
A Signal Analysis Method for On-line Condition Monitoring”, European
Wind Energy Conference (EWEC), Warsaw 19 April 2010
[23] Wu Chunming and Cheng Liang, “The Monitoring System for the Wind
Power Generation Based on the Wireless Sensor Network”, International
Conference on Future Electrical Power and Energy Systems 2012,
Energy Procedia 17, p. 1020 – 1027
[24] Asif Saeed, “Online Condition Monitoring System for Wind Turbine
Case Study”, Master Thesis, University of Kalmar, Blekinge Institute of
Technology, October 2008
[25] Chakkor Saad et al, “Comparative Performance Analysis of Wireless
Communication Protocols for Intelligent Sensors and Their
Applications”, International Journal of Advanced Computer Science and
Applications, SAI Publisher, Volume 5 No 4, May 2014
[26] “ZTE IX256 WiMAX MODEM-User Manual”, ZTE Corporation, Aug.
2010, Version: V1.0
[27] “SIM900 GSM/GPRS RS232 Modem-User Manual”, Rhydo
Technologies (P) Ltd, Dec.2011
[28] “ENC28J60Data Sheet”, Microchip Technology Inc. 2006, DS39662B
[29] Jeremy Bentham, “TCP/IP Lean Web Servers for Embedded Systems”,
Second Edition, CMP Books Lawrence, Kansas 66046, Berkeley,
California 200R. W. Lucky, “Automatic equalization for digital
communication,” Bell Syst. Tech. J., vol. 44, no. 4, pp. 547–588, Apr.
1965.
[30] Saad Chakkor et al., “Performance Analysis of Faults Detection in Wind
Turbine Generator Based on High-Resolution Frequency Estimation
Methods”, International Journal of Advanced Computer Science and
Applications, SAI Publisher, Volume 5 No 4, May 2014, pages 139-148
[1] M. L. Sin, W. L. Soong and N. Ertugrul, “On-Line Condition Monitoring
and Fault Diagnosis - a Survey” Australian Universities Power
Engineering Conference, New Zealand 2003
[2] Ouadie Bennouna et al, “Condition Monitoring & Fault Diagnosis
System for Offshore Wind Turbines”, https://zet10.ipee.pwr.wroc.pl/
record/425/files/invited_paper_3.pdf
[3] Elie Al-Ahmar et al, “Wind Energy Conversion Systems Fault Diagnosis
Using Wavelet Analysis”, International Review of Electrical Engineering
3, 4 2008, pages: 646-652
[4] M.L. Sin et al, “Induction Machine On-Line Condition Monitoring and
Fault Diagnosis – A Survey”, http://www.academia.edu/416441/
Induction_Machine_on_Line_Condition_Monitoring_and_Fault_Diagno
sis_A_Survey
[5] K. K. Pandey et al, “Review on Fault Diagnosis in Three-Phase
Induction Motor”, MEDHA – 2012, Proceedings published by
International Journal of Computer Applications (IJCA)
[6] E. Al Ahmar et al, “Advanced Signal Processing Techniques for Fault
Detection and Diagnosis in a Wind Turbine Induction Generator Drive
Train: A Comparative Study”, IEEE Energy Conversion Congress and
Exposition (ECCE), Atlanta: États-Unis 2010
[7] Hamid A. Toliyat et al., “Electric Machines Modeling, Condition
Monitoring, and Fault Diagnosis”, CRC Press Taylor & Francis Group
NW 2013, ISBN-13: 978-1-4200-0628-5
[8] R. W. Hyers et al., “Condition monitoring and prognosis of utility scale
wind turbines”, Institute of Materials, Minerals and Mining and W. S.
Maney & Son Ltd Energy Materials 2006, Vol.1 No.3, pages 187-203
[9] Julia Nilsson et al., “Maintenance Management of Wind Power Systems
Using Condition Monitoring Systems-Life Cycle Cost Analysis for Two
Case Studies”, IEEE Transactions On Energy Conversion, Vol. 22, No.
1, March 2007
[10] Mohanraj.M et al., “A CAN Bus based system for monitoring and fault
diagnosis in Wind Turbine”, International Conference on Emerging
Trends in VLSI, Embedded System, Nano Electronics and
Telecommunication System (ICEVENT), Tiruvannamalai, 7-9 Jan 2013,
pages 1-3
[11] Chun-Liang Hsu, “Constructing transmitting interface of running
parameters of small-scaled wind-power electricity generator with WSN
modules”, Expert Systems with Applications Journal 37, Elsevier 2010,
pages 3893–3909
[12] Ammar Zaher et al., “Database Management for High Resolution
Condition Monitoring of Wind Turbines”,
Proceedings of the 44th International Universities Power Engineering
Conference (UPEC), Glasgow 1-4 Sept. 2009
[13] M.C. Mallikarjune Gowda et al, “Improvement of the Performance of
Wind Turbine Generator Using Condition Monitoring Techniques”,
Proceedings of 7th International Conference on Intelligent Systems and
Control (ISCO 2013), IEEE 2012
[14] Yassine Amirat et al, “Wind Turbines Condition Monitoring and Fault
Diagnosis Using Generator Current Amplitude Demodulation”, IEEE
International Energy Conference and Exhibition (EnergyCon), 2010
[15] Lucian Mihet Popa et al., “Condition Monitoring of Wind Generators”,
IEEE Industry Applications Society 38th Annual Meeting, IAS'03, Salt
Lake City, Utah USA, October 2003, Vol. 3 IEEE Signal Processing
Society, p.1839-1846.
[16] Christopher J. Crabtree, “Survey of Commercially Available Condition
Monitoring Systems for Wind Turbines”, Durham University School of
Engineering and Computing Sciences, 2nd November 2010, Revision:
05
[17] Shuangwen Sheng and Paul Veers, “Wind Turbine Drive train Condition
Monitoring – an Overview”, Mechanical Failures Prevention Group:
Applied Systems Health Management Conference Virginia Beach,
Virginia May 10 – 12, 2011
[18] Xiang Gong, “On-line Non-Intrusive Condition Monitoring and Fault
Detection for Wind Turbines”, DigitalCommons@University of
Nebraska - Lincoln
[19] Martin Kluge and Michael Danitschek, “Condition Monitoring Systems
(CMS) in wind turbines”, ifm electronic gmbh, update version:
22.07.2010
[20] Juha Tuominen, “Hydraulic Boom Monitoring With IEEE 802.11 Based
Wireless Sensors Network”, Master of Science Thesis, Tampere
University of Technology, October 2009
[21] I. Ahmed et al., “A Baseline Study for On-Line Condition Monitoring of
Induction Machines”, Australasian Universities Power Engineering
Conference (AUPEC), 26-29 September 2004, Brisbane, Australia
[22] C. J. Crabtree et al., “Detecting Incipient Wind Turbine Gearbox Failure:
A Signal Analysis Method for On-line Condition Monitoring”, European
Wind Energy Conference (EWEC), Warsaw 19 April 2010
[23] Wu Chunming and Cheng Liang, “The Monitoring System for the Wind
Power Generation Based on the Wireless Sensor Network”, International
Conference on Future Electrical Power and Energy Systems 2012,
Energy Procedia 17, p. 1020 – 1027
[24] Asif Saeed, “Online Condition Monitoring System for Wind Turbine
Case Study”, Master Thesis, University of Kalmar, Blekinge Institute of
Technology, October 2008
[25] Chakkor Saad et al, “Comparative Performance Analysis of Wireless
Communication Protocols for Intelligent Sensors and Their
Applications”, International Journal of Advanced Computer Science and
Applications, SAI Publisher, Volume 5 No 4, May 2014
[26] “ZTE IX256 WiMAX MODEM-User Manual”, ZTE Corporation, Aug.
2010, Version: V1.0
[27] “SIM900 GSM/GPRS RS232 Modem-User Manual”, Rhydo
Technologies (P) Ltd, Dec.2011
[28] “ENC28J60Data Sheet”, Microchip Technology Inc. 2006, DS39662B
[29] Jeremy Bentham, “TCP/IP Lean Web Servers for Embedded Systems”,
Second Edition, CMP Books Lawrence, Kansas 66046, Berkeley,
California 200R. W. Lucky, “Automatic equalization for digital
communication,” Bell Syst. Tech. J., vol. 44, no. 4, pp. 547–588, Apr.
1965.
[30] Saad Chakkor et al., “Performance Analysis of Faults Detection in Wind
Turbine Generator Based on High-Resolution Frequency Estimation
Methods”, International Journal of Advanced Computer Science and
Applications, SAI Publisher, Volume 5 No 4, May 2014, pages 139-148
@article{"International Journal of Information, Control and Computer Sciences:68419", author = "Saad Chakkor and Mostafa Baghouri and Abderrahmane Hajraoui", title = "Real Time Remote Monitoring and Fault Detection in Wind Turbine", abstract = "In new energy development, wind power has boomed.
It is due to the proliferation of wind parks and their operation in
supplying the national electric grid with low cost and clean resources.
Hence, there is an increased need to establish a proactive
maintenance for wind turbine machines based on remote control and
monitoring. That is necessary with a real-time wireless connection in
offshore or inaccessible locations while the wired method has many
flaws. The objective of this strategy is to prolong wind turbine
lifetime and to increase productivity. The hardware of a remote
control and monitoring system for wind turbine parks is designed. It
takes advantage of GPRS or Wi-Max wireless module to collect data
measurements from different wind machine sensors through IP based
multi-hop communication. Computer simulations with Proteus ISIS
and OPNET software tools have been conducted to evaluate the
performance of the studied system. Study findings show that the
designed device is suitable for application in a wind park.
", keywords = "Embedded System, Monitoring, Wind Turbine,
Faults Diagnosis, TCP/IP Protocol, Real Time, Web.", volume = "8", number = "9", pages = "1676-8", }
