Yu, Hang https://orcid.org/0000-0002-6125-4296
Gao, Haibo https://orcid.org/0000-0002-9349-9722
He, Yelan
Lin, Zhiguo
Xu, Xiaobin
Funding for this research was provided by:
The National Natural Science Foundation of China (NSFC)-Zhejiang Joint Fund for the Integration of Industrialization and Informatization (U1709215)
Zhejiang outstanding youth fund (LR21F030001)
Zhejiang Province Key R&D projects (2021C03015)
Article Title: A novel motor fault diagnosis method based on principal component analysis (PCA) with a discrete belief rule base (DBRB) system
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2022 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2022-09-14
Date Accepted: 2022-11-15
Online publication date: 2022-12-09