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Analog circuit fault diagnosis based on RBF
- 1 The University of Edinburgh, Old College, South Bridge, Edinburgh EH8 9YL
* Author to whom correspondence should be addressed.
Abstract
Analog circuit fault diagnosis is growing common using techniques based on artificial intelligence (AI). Among these, defect diagnosis based on radial basis function (RBF) has recently received attention and has demonstrated a respectable level of accuracy. This paper's goal is to demonstrate this method's thought process, methodology, and specific actions. Researchers can refer to the reference circuit diagram, experimental table, and analytic process in the publication to evaluate the efficacy of this approach. Additionally, the elements that can be changed and improved upon are highlighted, offering a path for future study.
Keywords
Analog Circuit, Fault Diagnosis, Radial Basis Function, Experiment.
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Cite this article
Zhou,J. (2023). Analog circuit fault diagnosis based on RBF. Applied and Computational Engineering,6,820-826.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
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