Intelligent fault diagnosis method for rotating machinery based on vibration signal analysis and hybrid multi‐object deep CNN
Author:
Affiliation:
1. College of Energy and Power EngineeringNanjing University of Aeronautics and AstronauticsNo. 29, Yudao StreetNanjingPeople's Republic of China
2. China Ship Development and Design CenterWuhanPeople's Republic of China
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.2018.5672
Reference37 articles.
1. A review of process fault detection and diagnosis
2. A time domain approach to diagnose gearbox fault based on measured vibration signals
3. Wavelets for fault diagnosis of rotary machines: A review with applications
4. A review on empirical mode decomposition in fault diagnosis of rotating machinery
5. Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive
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