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| Planetary gearbox fault diagnosis via current signature analysis based on ICEEMDAN and frequency demodulation |
| GUAN Yichen,TONG Pan,FENG Zhipeng |
| School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China |
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Abstract In order to accurately extract gear fault feature of planetary gearboxes from current signals, a fault diagnosis method was proposed based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and frequency demodulation analysis.Firstly, the complex multi-component induction motor current signal was adaptively decomposed into a series of intrinsic mode functions (IMF) by ICEEMDAN.Then, based on the characteristics of fault frequency modulating supply frequency and the principle of the instantaneous frequency fluctuation around supply frequency, the IMF containing fault information was preferably selected as the sensitive component.Finally, the planetary gearbox fault was diagnosed according to the frequency demodulated spectrum of the sensitive components.The gearbox experiment collected the induction motor current signal with sun, planet and ring partial fault, respectively.The analysis result shows that this method can not only reduce the influence of the noise in stator current, but can also extract the fault frequency feature in complex signals effectively.
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Received: 17 April 2018
Published: 15 December 2019
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