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Article

The Rotating Components Performance Diagnosis of Gas Turbine Based on the Hybrid Filter

by 1,*, 1 and 2
1
School of Mechatronics & Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China
2
School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
*
Author to whom correspondence should be addressed.
Processes 2019, 7(11), 819; https://doi.org/10.3390/pr7110819
Received: 12 August 2019 / Revised: 25 October 2019 / Accepted: 29 October 2019 / Published: 5 November 2019
(This article belongs to the Special Issue Optimization for Control, Observation and Safety)
Gas turbine converts chemical energy into mechanical energy and provide energy for aircraft, ships, etc. The performance diagnosis of rotating components of gas turbine are essential in terms of the high failure rate of these parts. A problem that the sudden changing of operation state of turbines may lead to the misdiagnosis due to the defect of gas turbine’s model. This paper constructs the strong tracking filter based on the unscented Kalman filter to achieve accurate estimation of gas turbine’s measured parameters when the state changes suddenly. In the strong tracking filter, a parameter optimization method based on the residual similarity of measured parameters is proposed. Next, adopt the measured parameters filtered by the strong tracking filter to construct the health parameters estimation algorithm based on the particle filter. The particle weight is optimized by the mean adjustment method. Performance diagnosis is realized by checking the changes of health parameters output by particle filter. The results show that the proposed method improves the accuracy of performance diagnosis obviously. View Full-Text
Keywords: Unscented Kalman Filter; particle filter; weight optimization; hybrid filter; gas turbine Unscented Kalman Filter; particle filter; weight optimization; hybrid filter; gas turbine
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MDPI and ACS Style

Zeng, L.; Dong, S.; Long, W. The Rotating Components Performance Diagnosis of Gas Turbine Based on the Hybrid Filter. Processes 2019, 7, 819. https://doi.org/10.3390/pr7110819

AMA Style

Zeng L, Dong S, Long W. The Rotating Components Performance Diagnosis of Gas Turbine Based on the Hybrid Filter. Processes. 2019; 7(11):819. https://doi.org/10.3390/pr7110819

Chicago/Turabian Style

Zeng, Li, Shaojiang Dong, and Wei Long. 2019. "The Rotating Components Performance Diagnosis of Gas Turbine Based on the Hybrid Filter" Processes 7, no. 11: 819. https://doi.org/10.3390/pr7110819

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