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西北工业大学 国内
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Incipient fault diagnosis of analog circuit with ensemble HKELM based on fused multi-channel and multi-scale features
Shengdong Wang,
Zhenbao Liu
, Zhen Jia, Zihao Li
民航学院
Northwestern Polytechnical University Xian
Xi'an University of Architecture and Technology
科研成果
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同行评审
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引用 (Scopus)
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探究 'Incipient fault diagnosis of analog circuit with ensemble HKELM based on fused multi-channel and multi-scale features' 的科研主题。它们共同构成独一无二的指纹。
分类
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Engineering
Multichannel
100%
Analog Circuit
100%
Multiscale
100%
Fault Diagnosis
100%
Scale Feature
100%
Extreme Learning Machine
40%
System Reliability
20%
Feature Extraction
20%
Deep Learning Method
20%
State-of-the-Art Method
20%
High Resolution
20%
Early Stage
20%
Computer Science
Fault Diagnosis
100%
Analog Circuit
100%
Feature Fusion
40%
Extreme Learning Machine
40%
de-noising
20%
Deep Learning Model
20%
fault diagnose method
20%
Feature Extraction
20%
Electronic System
20%
Recognition Performance
20%
Fault Information
20%
Chemical Engineering
Learning System
100%
Deep Learning Method
50%