期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 66, 期 2, 页码 360-372出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2016.2613359
关键词
Aeroengine; condition monitoring; fault diagnosis; synchrosqueezing; time-frequency (TF) analysis
资金
- National Natural Science Foundation of China [51605366, 51421004]
- National Key Basic Research Program of China [2015CB057400]
- China Postdoctoral Science Foundation [2016M590937, 2016T90908]
- State Key Laboratory for Manufacturing Systems Engineering (Xi'an Jiaotong University) [sklms2016004]
This paper presents a new time-frequency (TF) analysis method called matching synchrosqueezing wavelet transform (MSWT) to signals with fast varying instantaneous frequency (IF). The original synchrosqueezing wavelet transform (SWT) can effectively improve the readability of TF representation (TFR) of signals with slowly varying IF. However, SWT still suffers from TF blurs for signals with fast varying IF. Moreover, the variable operating conditions of the aeroengine always make the vibration a signal with fast varying IF, especially when it comes to significant speed changes, which results in the obscure TFR for aeroengine vibration monitoring. In this paper, the MSWT introduces a chirp rate estimation into a comprehensive IF estimation to match the TF structure of the signals with fast varying IF and thus to achieve a highly concentrated TFR as the standard TF reassignment methods. Most importantly, the MSWT retains the reconstruction benefit like the SWT. The proposed MSWT is validated by both numerical simulation and applications in a bat echolocation signal analysis. Finally, a case study of a dual-rotor turbofan engine is given to illustrate the effectiveness of the proposed method for aeroengine vibration monitoring.
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