Automated Faults Diagnosis Framework for Rotating Machines Under Combined Faults Scenarios
Author:
Affiliation:
1. The University of Manchester,Aerospace and Civil Engineering,Department of Mechanical,Manchester,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10447020/10448518/10448628.pdf?arnumber=10448628
Reference14 articles.
1. Vibration-based condition monitoring of rotating machines using a machine composite spectrum
2. An improved data fusion technique for faults diagnosis in rotating machines
3. Towards Developing an Automated Faults Characterisation Framework for Rotating Machines. Part 1: Rotor-Related Faults
4. An Automated Data Fusion-Based Gear Faults Classification Framework in Rotating Machines;Cao,2021
5. Artificial intelligence for fault diagnosis of rotating machinery: A review
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