Research Progress of Vibration Fault Diagnosis Technology for Steam Turbine Generator Sets

Research Progress of Vibration Fault Diagnosis Technology for Steam Turbine Generator Sets

With the increasing demand of power energy, the safe and stable operation of high parameter and large capacity turbo-generator sets is of great significance to power production. The vibration fault mechanism, signal detection, signal analysis, feature extraction and fault diagnosis methods of turbin...

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Bibliographic Details
Main Authors: Shangnian CHEN, Luping LI, Shihai ZHANG, Minnan OUYANG, Ang FAN, Xiankui WEN
Format: Article
Language:English
Published: Editorial Department of Power Generation Technology 2021-08-01
Series:发电技术
Subjects:
steam turbine generator set
feature extraction
fault diagnosis
artificial intelligence
big data
cloud computing
deep learning
Online Access:https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.21048
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https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.21048

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