Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm

Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm

Abstract Nuclear power turbine fault diagnosis is an important issue in the field of nuclear power safety. The numerous state parameters in the operation and maintenance of nuclear power turbines are collected, forming a complex high‐dimensional feature space. These high‐dimensional feature spaces c...

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Bibliographic Details
Main Authors: Ruirui Zhong, Yixiong Feng, Puyan Li, Xuanyu Wu, Ao Guo, Ansi Zhang, Chuanjiang Li
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:IET Collaborative Intelligent Manufacturing
Subjects:
fault diagnosis
feature extraction
genetic algorithms
intelligent manufacturing systems
Online Access:https://doi.org/10.1049/cim2.12108
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