Intelligent Diagnosis of Equipment Health Based on IOT and Operation Large Data Analysis

Predictive maintenance integrates equipment condition monitoring, fault diagnosis, fault prediction, maintenance decision support and maintenance activities. Intelligent manufacturing upgrades need to match the synchronous improvement of predictive maintenance capabilities, and predictive maintenanc...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-08, Vol.1992 (4), p.42070
Main Authors: Tian, Yingming, Gao, Fan, Wu, Peng
Format: Article
Language:English
Subjects:
Algorithms
Big Data
Condition monitoring
Data analysis
Data mining
Fault diagnosis
Inspection
Intelligent Fault Diagnosis
Intelligent manufacturing systems
IOT
Knowledge bases (artificial intelligence)
Machine learning
Operation Large Data Analysis
Physics
Predictive Maintenance
Preventive maintenance
Remote monitoring
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Summary:Predictive maintenance integrates equipment condition monitoring, fault diagnosis, fault prediction, maintenance decision support and maintenance activities. Intelligent manufacturing upgrades need to match the synchronous improvement of predictive maintenance capabilities, and predictive maintenance is the basic guarantee for enterprises to achieve intelligent manufacturing. Take the equipment condition monitoring and diagnosis system applicate in process industry as an example, this paper proposes IOT and operation big data analysis to equipment fault monitoring, diagnosis and preventive maintenance. Under the three-layer system framework of perception layer, network layer and application layer, machine learning algorithm is applied to carry out data mining on the equipment operation big data, establish expert knowledge base, obtain diagnosis rules, and realize the intelligent and efficient management mode integrating online monitoring, remote monitoring, remote diagnosis, fault matching and identification. Based on IOT and operation large data analysis, equipment health intelligent diagnosis provides the basic guarantee for equipment intelligent operation and maintenance, which helping enterprise establish new equipment management, maintenance, inspection and repair system under the concept of predictive maintenance and proactive maintenance.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1992/4/042070