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Alternative TitleFault Diagnosis Technology of Rolling Bearings Based on Lossless-constraint Denoising Sparse Autoencoder
张万智1,2; 杜劲松1; 李兴强1
Source Publication科学技术与工程
Keyword故障诊断 稀疏自编码 无损约束降噪 噪声鲁棒性
Other AbstractIn the process of rolling bearing fault diagnosis,the time domain vibration signal has large capacity and easily suffers from noise pollution so that it is difficult to establish an accurate fault diagnosis model. To solve the above problems,the lossless-constraint denoising method was used to optimize sparse autoencoder. And a fault diagnosis method for rolling bearing based on lossless-constraint denoising sparse autoencoder is proposed. The method can directly be applied to the time domain vibration signal,thus eliminating the dependence on the artificial feature extraction,and this method does not need the noise reduction preprocessing,which reduces the difficulty of establishing the fault diagnosis model. In order to prove the effectiveness of the method,the time domain vibration signal of the rolling bearing was used to carry out the simulation experiment,the fault characteristics learned during the diagnosis process was visually analyzed. The experimental results show that the proposed method can establish an effective fault diagnosis model with noise data and has stronger noise robustness than the traditional stack sparse autoencoder diagnostic algorithm.
Document Type期刊论文
Corresponding Author杜劲松
Recommended Citation
GB/T 7714
张万智,杜劲松,李兴强. 基于无损约束降噪稀疏自编码的滚动轴承故障诊断技术[J]. 科学技术与工程,2019,19(4):185-190.
APA 张万智,杜劲松,&李兴强.(2019).基于无损约束降噪稀疏自编码的滚动轴承故障诊断技术.科学技术与工程,19(4),185-190.
MLA 张万智,et al."基于无损约束降噪稀疏自编码的滚动轴承故障诊断技术".科学技术与工程 19.4(2019):185-190.
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