1D‐CNN based real‐time fault detection system for power asset diagnostics
Author:
Affiliation:
1. School of Engineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowUK
2. Innovation Centre for Online SystemsDoble EngineeringBere RegisUK
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2020.0773
Reference36 articles.
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2. Fault modelling and detection in power generation, transmission and distribution systems;Ali A.;IET Gener. Transm. Distrib.,2015
3. Condition assessment of electrical apparatus with emi diagnostics;Timperley J.E.;IEEE Trans. Ind. Appl.,2017
4. 1d‐cnns for structural damage detection: verification on a structural health monitoring benchmark data;Abdeljaber O.;Neurocomputing,2018
5. Real‐time vibration‐based structural damage detection using one‐dimensional convolutional neural networks;Abdeljaber O.;Sound Vib.,2017
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