A new comprehensive automatic fault detection method for rotating machinery using HmvAAPE and VNWOA-KELM
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03505-4.pdf
Reference62 articles.
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3. Huo Z, Zhang Y, Jombo G, Shu L (2020) Adaptive multiscale weighted permutation entropy for rolling bearing fault diagnosis. IEEE Access 8:87529–87540
4. Duhamel P, Vetterli MJSP (1990) Fast fourier transforms: a tutorial review and a state of the art. Signal Process 19(4):259–299
5. Kwok KH, Jones DL (2000) Improved instantaneous frequency estimation using an adaptive short-time fourier transform. IEEE Trans Signal Proc 48(10):2964–2972
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2. Shallow machine learning fault diagnosis for industrial equipment based on vibration data;2023 3rd International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM);2023-10-27
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