Skip to main navigation
Skip to search
Skip to main content
University of Hertfordshire (Research Profiles) Home
Home
Profiles
Research output
Projects
Research units
Search by expertise, name or affiliation
Analog fault diagnosis using S-transform preprocessor and a QNN classifier
Yanghong Tan,
Yichuang Sun
, Xin Yin
Centre for Engineering Research
School of Physics, Engineering & Computer Science
Department of Engineering and Technology
Centre for Future Societies Research
Communications and Intelligent Systems
Networks and Security Research Centre
Research output
:
Contribution to journal
›
Article
›
peer-review
34
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Analog fault diagnosis using S-transform preprocessor and a QNN classifier'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Preprocessor
100%
Analog Fault Diagnosis
100%
Quantum Neural Network
100%
Neural Network Classifier
100%
S-transform
100%
Transform Based Method
40%
Frequency Dependence
20%
Fault Diagnostic System
20%
Neural Modeling
20%
Wavelet Transform
20%
Computational Tools
20%
Neural Network Method
20%
Analog Circuits
20%
Fault Classification
20%
Neural Network Identifier
20%
Fault Diagnosis
20%
Fuzzy Neural Network
20%
Training Phase
20%
Fuzzy Classification
20%
Fault Classes
20%
Computer Science
Fault Diagnosis
100%
Neural Network
100%
Preprocessor
100%
Analog Circuit
25%
Network Identifier
25%
Training Phase
25%
fuzzy classification
25%
Diagnostic System
25%
Wavelet Transforms
25%
Engineering
Fault Diagnosis
100%
Preprocessor
100%
Simulation Result
33%
Analog Circuit
33%
System Diagnostics
33%
Sample Data
33%
Mathematics
Neural Network
100%
S-Transform
100%
Sample Data
20%
Approximates
20%
Wavelet Transforms
20%
Chemical Engineering
Neural Network
100%