@article{0a4bf440b7fe4888bbcb14f9445b7073,
title = "Improved cyclostationary analysis method based on TKEO and its application on the faults diagnosis of induction motors",
abstract = "Cyclostationary analysis has been strongly recognized as an effective demodulation tool in identifying fault features of rotating machinery based on vibration signature analysis. This study improves two current mature cyclostationary approaches, cyclic modulation spectrum (CMS) and fast spectral correlation (Fast-SC), combined with the novel frequency-domain application of Teager Kaiser energy operator (TKEO). They can enhance fault feature identification with the lower computational burden. Firstly, the raw vibration signal is transformed into the time-frequency domain through the short-time Fourier transform (STFT) to realize the conversion of the multi-carrier signal to a multiple signal-carrier signal. Secondly, the TKEO is utilized to enhance the fault feature by taking full advantage of demodulating the mono-component. Finally, the spectral coherence and enhanced envelope spectrum (EES) are calculated to effectively exhibit fault features. The superiority of the proposed methods is successfully validated by the simulation study and diagnosing the broken rotor bar (BRB) and bearing outer race faults of induction motors (IMs) under various operating conditions.",
keywords = "Cyclostationarity, Cyclic modulation spectrum, Fast spectral correlation, Teager Kaiser energy operator, Enhanced envelope spectrum, Induction motors",
author = "Zuolu Wang and Jie Yang and Haiyang Li and Dong Zhen and Fengshou Gu and Andrew Ball",
note = "Funding Information: The authors would like to thank the Centre for Efficiency and Performance Engineering (CEPE) at the University of Huddersfield for providing the materials used in the experimental study. At the same time, the authors would like to thank the anonymous reviewers and the editor for their valuable comments. The work is supported by the National Natural Science Foundation of China under Grant Nos. 51875166, 51705127 and U1813222. Funding Information: The authors would like to thank the Centre for Efficiency and Performance Engineering (CEPE) at the University of Huddersfield for providing the materials used in the experimental study. At the same time, the authors would like to thank the anonymous reviewers and the editor for their valuable comments. The work is supported by the National Natural Science Foundation of China under Grant Nos. 51875166 , 51705127 and U1813222 . Publisher Copyright: {\textcopyright} 2021 ISA Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2022",
month = sep,
day = "1",
doi = "10.1016/j.isatra.2021.10.026",
language = "English",
volume = "128",
pages = "513--530",
journal = "ISA Transactions",
issn = "0019-0578",
publisher = "ISA - Instrumentation, Systems, and Automation Society",
number = "Part A",
}
