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A chaotic system-based signal identification Technology: Fault-diagnosis of industrial bearing system
Shih Yu Li
*
, Kai-Ren Gu,
Sheng-Chieh Huang
*
此作品的通信作者
電機工程學系
研究成果
:
Article
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同行評審
13
引文 斯高帕斯（Scopus）
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Keyphrases
Systems-based
100%
Accuracy Rate
100%
Fault Diagnosis
100%
Chaotic System
100%
Bearing System
100%
Identification Technology
100%
Signal Identification
100%
Fault Condition
75%
K-nearest
50%
Feature Value
50%
Smart Fault Diagnosis
50%
Feature Production
50%
Fault Diagnosis Technology
50%
Fault State
50%
Feature Extraction
25%
Feature Selection
25%
Performance Evaluation
25%
Feature Extraction Methods
25%
K(I)
25%
Parameter Setting
25%
Classification Results
25%
Scatterplot
25%
Mathematic Model
25%
Data Mapping
25%
Public Database
25%
Mapping Strategies
25%
Feed System
25%
Well Performance
25%
Rolling Bearing System
25%
Open Database
25%
Key Feature Extraction
25%
Key Feature Selection
25%
Smart Detection System
25%
Rotating Machines
25%
Raw Vibration Signal
25%
Data Feed
25%
Real-time Fault Diagnosis
25%
Engineering
Bearing System
100%
Fault Diagnosis
100%
Signal Identification
100%
Fault Condition
75%
Feature Extraction
50%
Nearest Neighbor
50%
Experimental Result
25%
Time Domain
25%
Rolling Bearings
25%
Computer Science
Fault Diagnosis
100%
Signal Identification
100%
Chaotic System
100%
Feature Extraction
50%
Experimental Result
25%
Performance Evaluation
25%
Feature Selection
25%
Proposed Technology
25%
classification result
25%
Average Accuracy
25%
Data Mapping
25%
vibration signal
25%
Earth and Planetary Sciences
Real Time
100%
Pattern Recognition
100%
Feed System
100%
Physics
Signal Identification
100%
Chemical Engineering
Chaotic Systems
100%