一种基于RBM的滚动轴承退化指标构建方法

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摘要针对现有滚动轴承性能退化指标构建方法高度依赖先验知识，实际应用情境单一，提出了一种基于受限玻尔兹曼机（restricted Boltzmann machine，RBM）的滚动轴承退化指标构建方法。将滚动轴承正常状态下的振动信号处理为归一化幅值谱，以此作为建立RBM模型的训练样本，其中RBM模型结构特点是将其输出层单元数设为1，以训练完成后模型的输出作为退化指标构建的基础。通过不同情境下的滚动轴承全寿命周期实验数据验证了该方法的有效性。与最近相关文献相比，该退化指标在构建过程中避免了人工选择退化特征，能够清晰描述出轴承退化过程，且对早期微弱故障检测具有一定的敏感性。
关键词：退化指标；受限玻尔兹曼机（RBM）；滚动轴承

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	程道来1
	魏婷婷2
	潘玉娜3
	马向华4

关键词 ：退化指标, 受限玻尔兹曼机（RBM）, 滚动轴承

Abstract：The existing degradation index construction of rolling bearing is highly dependent on prior knowledge and the practical application situation is single. Aiming at this, a restricted Boltzmann machine (RBM) based degradation index construction method for rolling bearings was proposed. The vibration signals of rolling bearings in normal state were processed as normalized amplitude spectrum, which was taken as the training samples for establishing RBM model. The structural characteristics of the RBM model was that the number of units in its output layer was set as 1, and the output after model training was taken as the basis for constructing degradation indexes. The validity of the proposed method is verified by the whole life cycle experimental data of rolling bearings under different situations. Compared with the recent literatures, the proposed degradation index avoids the manual selection of degradation features in the construction process, describes the bearing degradation process clearly and has a certain sensitivity to early weak fault detection.
Keywords: degradation index; restricted Boltzmann machine（RBM）; rolling bearing

Key words： degradation index restricted Boltzmann machine（RBM） rolling bearing

收稿日期: 2021-05-25 出版日期: 2022-08-25

引用本文:

程道来1，魏婷婷2，潘玉娜3，马向华4. 一种基于RBM的滚动轴承退化指标构建方法[J]. 振动与冲击, 2022, 41(16): 210-216.
CHENG Daolai1,WEI Tingting2,PAN Yuna3,MA Xianghua4. A rolling bearing degradation index construction method based on RBM. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(16): 210-216.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2022/V41/I16/210

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