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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2022, Vol. 43 ›› Issue (8): 625485-625485.doi: 10.7527/S1000-6893.2021.25485

• Special Topic: Application of Fault Diagnosis Technology in Aerospace Field • Previous Articles     Next Articles

Inter-shaft bearing fault diagnosis method based on multi-scale quantum entropy

TIAN Jing, ZHANG Yuwei, ZHANG Fengling, AI Xinping, GAO Chong   

  1. Liaoning Key Laboratory of Advanced Measurement and Test Technology for Aircraft Propulsion System, Shenyang Aerospace University, Shenyang 110136, China
  • Received:2021-03-12 Revised:2021-07-12 Online:2022-08-15 Published:2021-07-09
  • Supported by:
    National Natural Science Foundation of China (12172231);National Natural Science Foundation Liaoning Province (2020-BS-174);Project of Department of Education of Liaoning Province (JYT2020019)

Abstract: Targeting at the problem of complex transmission path of inter-shaft bearing fault signal, weak fault signal characteristics and difficulty in fault feature extraction, a fault diagnosis method based on Multi-scale Quantum Entropy (MQE), Locally Linear Embedding (LLE) algorithm and Probabilistic Neural Network (PNN) is proposed in this paper. Firstly,the inter-shaft bearing fault signals are denoised through the spatial correlation noise reduction method to improve the signal to noise ratio. Secondly, MQE is utilized to extract the features of inter-shaft bearings. Then, LLE is utilized to reduce and fuse high-dimensional fault features of multi-sensor to construct fault samples. Finally, the low-dimensional fault features are input into PNN multi-fault classifier for fault identification. The fault simulation test bench of the inter-shaft bearing is built to simulate the normal bearing, inner ring fault, outer ring fault and rolling element fault, and the data were collected to verify the MQE-LLE-PNN inter-shaft bearing fault diagnosis algorithm established in this paper. The experimental results validate that the proposed method can effectively identify the inter-shaft bearing fault, and shows good generalization ability without any over-fitting phenomenon.

Key words: inter-shaft bearing, spatial correlation, multi-scale quantum entropy, locally linear embedding, fault diagnosis

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