The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 09, 2024
Filed:
Aug. 07, 2020
Soochow University, Suzhou, CN;
Jun Zhu, Suzhou, CN;
Changqing Shen, Suzhou, CN;
Nan Chen, Suzhou, CN;
Dongmiao Song, Suzhou, CN;
Jianqin Zhou, Suzhou, CN;
Jun Wang, Suzhou, CN;
Juanjuan Shi, Suzhou, CN;
Weiguo Huang, Suzhou, CN;
Zhongkui Zhu, Suzhou, CN;
SOOCHOW UNIVERSITY, Suzhou, CN;
Abstract
The present invention discloses a method for predicting bearing life based on a hidden Markov model (HMM) and transfer learning, including the following steps: (1) acquiring an original signal of full life of a rolling bearing; and extracting a feature set including a time domain feature, a time-frequency domain feature, and a trigonometric function feature; (2) inputting the feature set into an HMM to predict a hidden state, to obtain a failure occurrence time (FOT); (3) constructing a multilayer perceptron (MLP) model, obtaining a domain invariant feature and an optimal model parameter, and obtaining a neural network life prediction model; and (4) inputting the remaining target domain feature sets into the neural network life prediction model, and predicting the remaining life of the bearing. In the present invention, MLP-based transfer learning is used to resolve distribution differences in a source domain and a target domain caused by different operating conditions.