MD‐based approaches for system health monitoring: a review-Reference-Cited by-同舟云学术

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MD‐based approaches for system health monitoring: a review

Published:2017-07 Issue:4 Volume:11 Page:371-379
ISSN:1751-8830
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET Science, Measurement & Technology

Author:

Jin Xiaohang¹²^ORCID,Wang Yu³,Chow Tommy W.S.⁴,Sun Yi¹²

Affiliation:

1. College of Mechanical EngineeringZhejiang University of TechnologyHangzhou310014People's Republic of China

2. Key Laboratory of E&MMinistry of Education and Zhejiang ProvinceHangzhou310014People's Republic of China

3. School of Mechanical EngineeringXi'an Jiaotong UniversityXi'an710049People's Republic of China

4. Department of Electronic EngineeringCity University of Hong KongHong Kong

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2016.0340

Reference62 articles.

1. Prognostics and Health Management of Electronics

2. A review on machinery diagnostics and prognostics implementing condition-based maintenance

3. Weighted local and global regressive mapping: A new manifold learning method for machine fault classification

4. Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

5. The application of rough set and Mahalanobis distance to enhance the quality of OSA diagnosis

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