一种基于特定频段信息熵和RBM的健康因子构建方法

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振动与冲击 ›› 2020, Vol. 39 ›› Issue (6) : 147-153.

论文

张钢，田福庆，佘博，梁伟阁

作者信息 +

Health indicator construction method based on the information entropy of a specific frequency band and the RBM

ZHANG Gang,TIAN Fuqing,SHE Bo,LIANG Weige

Author information +

文章历史 +

摘要

针对传统物理健康因子存在单调性差、对早期故障不敏感等问题，提出一种基于特定频段信息熵和受限玻尔兹曼机(SEI-RBM)的虚拟健康因子构建模型。该模型由物理健康因子构建层和特征融合层两部分组成：在物理健康因子构建层中，提出一种基于特定频段信息熵的物理健康因子构建方法；特征融合层中，利用单调性准则选取部分物理健康因子组成特征集，利用受限玻尔兹曼机（RBM）对健康因子特征集进行融合，得到虚拟健康因子。实验结果表明：利用该模型构建的虚拟健康因子能够有效提高滚动轴承性能退化曲线的单调性，有助于提高剩余寿命预测的精确度。

Abstract

The traditional physic health indicator(PHI) has poor monotonicity and is insensitive to the incipient fault.Aiming at this, a virtual health indicator(VHI) construction model, was proposed based on the information entropy of a specific frequency band and the restricted Boltzmann machine(SEI-RBM).The model consists of two layers: physic health indicator construction layer and features fusion layer.In the physic health indicator construction layer, a method based on the information entropy of a specific frequency band was proposed to construct the physic health indicator.In the features fusion layer, the monotonicity metric was used to select parts of the PHIs to form feature sets, which were then fused by the restricted Boltzmann machine to get a VHI.The experiment results show that the proposed model could make a VHI, being able to effectively enhance the monotonicity of the degradation assessment curve and promote the remaining useful life prediction accuracy of rolling element bearings.

导出引用

张钢，田福庆，佘博，梁伟阁. 一种基于特定频段信息熵和RBM的健康因子构建方法[J]. 振动与冲击, 2020, 39(6): 147-153

ZHANG Gang,TIAN Fuqing,SHE Bo,LIANG Weige. Health indicator construction method based on the information entropy of a specific frequency band and the RBM[J]. Journal of Vibration and Shock, 2020, 39(6): 147-153

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