Intelligent fault diagnosis system based on big data

Intelligent fault diagnosis system based on big data

In view of the actual problems existing in life-cycle health monitoring and diagnosis of large complex equipment, the machine-learning algorithm is applied to data mining of the equipment operation big data, the expert knowledge base is established, the diagnosis rules related to the fault are obtai...

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Bibliographic Details
Main Authors: Tianshu Wu, Shuyu Chen, Peng Wu
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
computerised monitoring
maintenance engineering
condition monitoring
feature extraction
cloud computing
learning (artificial intelligence)
data mining
production engineering computing
big data
fault diagnosis
equipment operation big data
machine-learning algorithm
complex equipment
life-cycle health monitoring
actual problems
intelligent fault diagnosis system
proactive maintenance system
intelligent fault prediction
intelligent diagnosis
operation faults
hybrid intelligent algorithm
uncertain fault prediction method
equipment health condition
remote diagnosis
intelligent online monitoring
diagnosis rules
expert knowledge base
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9162

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9162

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