Mechanical varying non-stationary signal separation method based on instantaneous frequency estimation
| Autor: | Lu Yan, Chen Qin-Xiao, Zhong Cheng, Tao Xian, Ding En-Jie, Liu Ke, Du Juan, Tong Xiao-Chun |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Advances in Mechanical Engineering, Vol 15 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1687-8140 16878132 |
| DOI: | 10.1177/16878132231172489 |
| Popis: | Mechanical equipment often works on variable speed condition, its corresponding vibration signal presents multi-component, modulation coupling with fast time-varying instantaneous frequency (IF), how to effectively compute IF and realize fasting varying non-stationary signal decoupling separation plays an important role in mechanical system fault diagnosis. In this paper, a sparse representation method called multi-scale chirp sparse representation (MSCSR) is introduced to identify, extract, and trend IF for achieving a highly concentrated time-frequency energy. Simulation demonstrates that the proposed method performs better than traditional IF estimation method. Furthermore, an adaptive time-varying filter is constructed using the extracted instantaneous frequency to decouple non-stationary fast signal. Ultimately, by rapid instantaneous frequency fluctuation experiment, the effectiveness of proposed method for fast strong time-varying signal is validated, it can effectively extract rapid oscillation instantaneous frequency, and the error is less than 10%. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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