A novel fault diagnostic method for analog circuits using frequency response features

Author:

Gao Tian-yu1,Yang Jing-li1,Jiang Shou-da1,Yang Cheng2

Affiliation:

1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150080, China

2. China Institute of Marine Technology and Economy, Beijing 100081, China

Publisher

AIP Publishing

Subject

Instrumentation

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analog Circuit Fault Diagnosis Based on Machine Learning Using Frequency Domain Features;2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN);2024-06-03

2. Fault Detection Method for Closed-Loop Control Loop of Water Jet Propulsion Device Based on Convolutional Autoencoder and Support Vector Data Description;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

3. Residual current detection method based on improved VMD-BPNN;PLOS ONE;2024-02-08

4. Fault diagnosis of analogue circuits based on artificial intelligence algorithms;Applied Mathematics and Nonlinear Sciences;2023-11-18

5. An efficient method for faults diagnosis in analog circuits based on machine learning classifiers;Alexandria Engineering Journal;2023-08

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