Adaptive Linear Chirplet Transform for Analyzing Signals With Crossing Frequency Trajectories
| العنوان: | Adaptive Linear Chirplet Transform for Analyzing Signals With Crossing Frequency Trajectories |
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| المؤلفون: | Yunpeng Guan, Zhipeng Feng |
| المصدر: | IEEE Transactions on Industrial Electronics. 69:8396-8410 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Series (mathematics), Control and Systems Engineering, Computer science, Mode (statistics), Chirp, Electrical and Electronic Engineering, Interference (wave propagation), Residual, Signal, Algorithm, Chirplet transform, Weighting |
| الوصف: | Signal time-frequency analysis is widely used in industrial fields, for example, machinery fault diagnosis. Current methods cannot well address the multi-components signals with crossing frequency trajectories. For example, the adaptive decomposition methods have mode mixing problem. The linear transforms have smear problems due to the mutual interference caused by crossing frequencies. To address these issues, this paper proposes an iterative approach, named adaptive linear chirplet transform (ALCT). It works by 1) calculating the signal linear chirplet transform (LCT) with a series of chirp rates as parameters; 2) iteratively estimating the characteristics of the signal mode with the highest amplitude in the residual LCT and updating the residual LCT by removing the LCT of the detected mode; 3) constructing the signal time-frequency representation (TFR) based on the estimated characteristics of the detected modes. The ALCT can clearly reveal the TFRs of signals with crossing frequency trajectories. It does not have the frequency estimation errors caused by mode mixing and avoids the mutual interference of the crossing frequencies. It is efficient, as it can obtain the LCT of the detected mode by directly weighting and shifting the LCT reference. The effectiveness of the ALCT is validated using simulations and real-world signals. |
| تدمد: | 1557-9948 0278-0046 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::9d2d9cb0135db07f65d4f2c8fa2078d0Test https://doi.org/10.1109/tie.2021.3097605Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........9d2d9cb0135db07f65d4f2c8fa2078d0 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15579948 02780046 |
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