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篇名
Petrochemical Gearbox Fault Location and Diagnosis Method Based on Distributed Bayesian Model and Neural Network
並列篇名
Petrochemical Gearbox Fault Location and Diagnosis Method Based on Distributed Bayesian Model and Neural Network
作者 Nai-Quan SuQing-Hua ZhangShao-Lin HuXiao-Xiao ChangMei-Chao Chen
英文摘要

Increasing attention has been paid to the economic losses and personnel injuries caused by petrochemical gearbox faults. As a result, petrochemical enterprises started to pay huge attention on fault diagnosis technology to solve the fault diagnosis problem. Petrochemical gearboxes are characterized by many fault types, feature variables, and many-to-many relationships between the various fault parameters, which pose huge challenges in the fault diagnosis of petrochemical units. This paper proposes a petrochemical gearbox fault location and diagnosis method based on a distributed Bayesian model and neural network. The proposed approach is based on sample feature information and Bayesian network prior probability to construct a basic framework for petrochemical gearbox fault location. Neural network technology is used to to diagnose fault types. It is helpful to build a long-term fault diagnosis and monitoring system for rotating machinery of petrochemical units.

 

起訖頁 159-169
關鍵詞 petrochemical unitgearboxBayesian modelneural networksfault diagnosis
刊名 電腦學刊  
期數 202206 (33:3期)
該期刊-上一篇 An Improved Algorithm for Moving Object Detection in YOLO UAV Videos
該期刊-下一篇 Image Domain Generalization Method based on Solving Domain Discrepancy Phenomenon
 

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