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Fault diagnosis of gearbox based on wavelet packet transform and CLSPSO-BP

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Abstract

Fault diagnosis of gearbox is difficult due to the complexity and instability of its vibration signal. A fault diagnosis method of gearbox based on WPT-CLSPSO-BP (Wavelet Packet Transform- Chaos Particle Swarm Optimization-Back Propagation Neural Network) is proposed in this study to solve this problem. Wavelet packet transform (WPT) is used to decompose and reconstruct the signal, and the energy value of each component is calculated according to the formula, and the energy value is used as a feature input to form a feature sample. Aiming at the problem of slow convergence speed and easy local optimization of traditional BP neural network, a chaotic particle swarm algorithm is proposed to optimize the weight and threshold of the network, and the optimized network performance is verified with the data collected by experiments. Experimental results show that the average diagnosis rate of CLSPSO-BP is above 92%,the trained model not only has a high diagnostic rate, which can be improved by nearly 10%, but also can keep the error value between the actual output and the predicted output below 0.1%, indicating that the optimized network has a higher fault recognition rate.

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Data availability

The data used to support the findings of this study are available from the corresponding author upon request.

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Funding

The research is funded partially by Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion Project in Jiangsu Province (NJ2020–01), and the Key Research and Development Program of Jiangsu Province (BE2020317).

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Authors and Affiliations

  1. College of Engineering, Nanjing Agricultural University, Nanjing, 210031, China

    Maohua Xiao, Wei Zhang & Yuanfang Zhao

  2. College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, 210037, China

    Maohua Xiao & Shufang Zhou

  3. Intelligent Manufacturing College of Qingdao Huanghai University, Qingdao, 266427, China

    Xiaomei Xu

Authors
  1. Maohua Xiao
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  2. Wei Zhang
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  3. Yuanfang Zhao
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  4. Xiaomei Xu
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  5. Shufang Zhou
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Correspondence to Maohua Xiao.

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Xiao, M., Zhang, W., Zhao, Y. et al. Fault diagnosis of gearbox based on wavelet packet transform and CLSPSO-BP. Multimed Tools Appl 81, 11519–11535 (2022). https://doi.org/10.1007/s11042-022-12465-3

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  • DOI: https://doi.org/10.1007/s11042-022-12465-3

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