Bearing fault diagnosis based on multiscale permutation entropy and support vector machine

DOI10.3390/e14081343zbMath1314.94123OpenAlexW2043020486MaRDI QIDQ406125

Chiu-Wen Wu, Po-Hung Wu, Shuen-De Wu, Chun-Chieh Wang, Jian-Jiun Ding

Publication date: 8 September 2014

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e14081343

zbMATH Keywords

fault diagnosismultiscalepermutation entropysupport vector machinemachine vibrationmultiscale permutation entropy

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Fault detection; testing in circuits and networks (94C12)

Related Items (5)

Improved similarity-based modeling for the classification of rotating-machine failures ⋮ Multivariate multiscale entropy of financial markets ⋮ Time series analysis using composite multiscale entropy ⋮ Bearing fault diagnosis with kernel sparse representation classification based on adaptive local iterative filtering-enhanced multiscale entropy features ⋮ A Summary: Quantifying the Complexity of Financial Markets Using Composite and Multivariate Multiscale Entropy

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