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南京工业大学 国内
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Intelligent health evaluation method of slewing bearing adopting multiple types of signals from monitoring system
H. Wang, R. Hong,
J. Chen
, M. Tang
机械与动力工程学院
Nanjing Tech University
Ltd.
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Engineering
Artificial Neural Network
66%
Artificial Neural Network Model
33%
Catastrophic Failure
33%
Compressed Air Motors
33%
Condition Assessment
100%
Excavators
33%
Fuzzy Inference System
100%
Fuzzy System
100%
Life Test
33%
Monitoring System
100%
Predicted Model
33%
Prediction Capability
33%
Rolling Bearings
33%
Rotational
33%
Test System
33%
Material Science
Performance Index
100%