Rotor Fault Diagnosis Based on Characteristic Frequency Band Energy Entropy and Support Vector Machine

Rotor Fault Diagnosis Based on Characteristic Frequency Band Energy Entropy and Support Vector Machine

Rotor is a widely used and easily defected mechanical component. Thus, it is significant to develop effective techniques for rotor fault diagnosis. Fault signature extraction and state classification of the extracted signatures are two key steps for diagnosing rotor faults. To complete the accurate...

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Bibliographic Details
Main Authors: Bin Pang, Guiji Tang, Chong Zhou, Tian Tian
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Entropy
Subjects:
improved singular spectrum decomposition
characteristic frequency band energy entropy
support vector machine
rotor
fault diagnosis
Online Access:https://www.mdpi.com/1099-4300/20/12/932

Internet

https://www.mdpi.com/1099-4300/20/12/932

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