首页|An iterative reassignment based energy-concentrated TFA post-processing tool and application to bearing fault diagnosis
An iterative reassignment based energy-concentrated TFA post-processing tool and application to bearing fault diagnosis
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NSTL
Elsevier
? 2022 Elsevier LtdAmong the time frequency (TF) analysis (TFA) post-processing methods, limited by the accuracy of the estimated group delay (GD), the time-reassigned synchrosqueezing transform (TSST) and the second-order TSST (STSST) cannot provide a satisfied TFA performance for analyzing the signal with strong GD modulation. To settle this downside, the high order TSST (HTSST) is proposed. However, due to the truth that HTSST is sensitive to the plus-noise signal, the TF representation is not concentrated than the STSST. For further improving the TF resolution, a new TFA post-processing tool is proposed in this study, which named as local maximum high order time iterative synchrosqueezing (LHTIS) method. The basic idea of this technique can be divided as two steps. First, according to an iterative procedure, the TF coefficients of the high order frequency-varying signal are reassigned onto the estimated high order GD trajectory along time direction. Second, via maximizing the local TF coefficients after iterative reassignment in the first step, we rebuild a GD estimation operator to squeeze the obtained TF results. Numerical simulations are adopted to demonstrate the TF aggregation and the anti-noise property of LHTIS methodology. Via dealing with the fault signals of rolling bearings, the effectiveness of LHTIS is verified.
Group delayHigh order synchrosqueezing transformIterative procedureTime frequency analysis
Li Y.、Shi Z.、Yu G.、Lin T.R.
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School of Electrical Engineering University of Jinan
School of Mechanical & Automotive Engineering Qingdao University of Technology
NSTL
Elsevier
