Self-Adaptive Spectrum Analysis Based Bearing Fault Diagnosis

Self-Adaptive Spectrum Analysis Based Bearing Fault Diagnosis

Bearings are critical parts of rotating machines, making bearing fault diagnosis based on signals a research hotspot through the ages. In real application scenarios, bearing signals are normally non-linear and unstable, and thus difficult to analyze in the time or frequency domain only. Meanwhile, f...

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Bibliographic Details
Main Authors: Jie Wu, Tang Tang, Ming Chen, Tianhao Hu
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
fault diagnosis
feature extraction
self-adaptive spectrum analysis
bearing
Online Access:http://www.mdpi.com/1424-8220/18/10/3312

Internet

http://www.mdpi.com/1424-8220/18/10/3312

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