A long-term gas-path fault diagnosis and its rapid prototype system are presented for on-line monitoring of a gas turbine engine. Toward this end, a nonlinear hybrid model-based performance estimation and abnormal detection method are proposed in this paper. An adaptive extended Kalman particle filter (AEKPF) estimator is developed and used to real time estimate engine health parameters, which depict gas turbine performance degradation condition. The health parameter estimators are then pushed into a buffer memory and for periodical renewing baseline model (BM) performance, and the BM is utilized to detect engine anomaly over its life course. The threshold in abnormal detection schemes is adapted to the modeling errors during the engine lifetime. The rapid prototyping system is designed and built up based on the National Instrument (NI) CompactRIO (CRIO) for evaluating gas turbine engine performance estimation and anomaly detection. A number of experiments are carried out to demonstrate the advantages of the proposed abnormal detection scheme and effectiveness of the designed rapid prototype system to the problem of gas turbine life cycle anomaly detection.
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September 2016
Research-Article
Life Cycle Performance Estimation and In-Flight Health Monitoring for Gas Turbine Engine
Feng Lu,
Feng Lu
Associate Professor
Jiangsu Province Key Laboratory of
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
29 Yudao Street,
Nanjing, Jiangsu 210016, China;
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: lufengnuaa@126.com
Jiangsu Province Key Laboratory of
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
29 Yudao Street,
Nanjing, Jiangsu 210016, China;
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: lufengnuaa@126.com
Search for other works by this author on:
Wenhua Zheng,
Wenhua Zheng
Jiangsu Province Key Laboratory of
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
Nanjing, Jiangsu 210016, China;
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: lfaann@nuaa.edu.cn
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
Nanjing, Jiangsu 210016, China;
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: lfaann@nuaa.edu.cn
Search for other works by this author on:
Jinquan Huang,
Jinquan Huang
Jiangsu Province Key Laboratory of
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
29 Yudao Street,
Nanjing, Jiangsu 210016, China
e-mail: jhuang@nuaa.edu.cn
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
29 Yudao Street,
Nanjing, Jiangsu 210016, China
e-mail: jhuang@nuaa.edu.cn
Search for other works by this author on:
Min Feng
Min Feng
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: nuaafengmin@126.com
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: nuaafengmin@126.com
Search for other works by this author on:
Feng Lu
Associate Professor
Jiangsu Province Key Laboratory of
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
29 Yudao Street,
Nanjing, Jiangsu 210016, China;
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: lufengnuaa@126.com
Jiangsu Province Key Laboratory of
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
29 Yudao Street,
Nanjing, Jiangsu 210016, China;
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: lufengnuaa@126.com
Wenhua Zheng
Jiangsu Province Key Laboratory of
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
Nanjing, Jiangsu 210016, China;
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: lfaann@nuaa.edu.cn
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
Nanjing, Jiangsu 210016, China;
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: lfaann@nuaa.edu.cn
Jinquan Huang
Jiangsu Province Key Laboratory of
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
29 Yudao Street,
Nanjing, Jiangsu 210016, China
e-mail: jhuang@nuaa.edu.cn
Aerospace Power Systems,
Nanjing University of
Aeronautics and Astronautics,
29 Yudao Street,
Nanjing, Jiangsu 210016, China
e-mail: jhuang@nuaa.edu.cn
Min Feng
Aviation Motor Control System Institute,
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: nuaafengmin@126.com
Aviation Industry Corporation of China,
792 Liangxi Road,
Wuxi, Jiangsu 214063, China
e-mail: nuaafengmin@126.com
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received December 10, 2014; final manuscript received April 27, 2016; published online June 8, 2016. Assoc. Editor: Gregory Shaver.
J. Dyn. Sys., Meas., Control. Sep 2016, 138(9): 091009 (13 pages)
Published Online: June 8, 2016
Article history
Received:
December 10, 2014
Revised:
April 27, 2016
Citation
Lu, F., Zheng, W., Huang, J., and Feng, M. (June 8, 2016). "Life Cycle Performance Estimation and In-Flight Health Monitoring for Gas Turbine Engine." ASME. J. Dyn. Sys., Meas., Control. September 2016; 138(9): 091009. https://doi.org/10.1115/1.4033556
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