Power system fault detection classification based on PCA and PNN

Author:

Sinha A. K.,Kranthi Kiran Chowdoju

Publisher

IEEE

Cited by 17 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. A lightweight complex-domain acoustic feature extraction method for rotating machinery fault detection;Measurement Science and Technology;2024-06-28

2. Robust Diagnosis Method of Equipment Fault Based on Weighted Probabilistic Neural Network*;2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS);2023-09-22

3. Mathematical Modeling and Investigation on Faults In Power System;2023 International Conference for Advancement in Technology (ICONAT);2023-01-24

4. Transmission Line Fault Localization With Mesh and Surface Analysis Using PCA Features;Electric Power Components and Systems;2022-02-07

5. Transmission Line Fault Classification under High Noise in Signal: A Direct PCA-Threshold-Based Approach;Journal of The Institution of Engineers (India): Series B;2021-06-15

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