Classification of Fault Severity in Induction Machine Systems Based on Temporal Convolutions and Recurrent Networks
Author:
Affiliation:
1. Department of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran
2. Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Abstract
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
http://downloads.hindawi.com/journals/itees/2022/4224356.pdf
Reference53 articles.
1. Planetary Gearbox Torsional Vibration Effects on Wound-Rotor Induction Generator Electrical Signatures
2. Planetary Gear Fault Detection Based on Mechanical Torque and Stator Current Signatures of a Wound Rotor Induction Generator
3. Stator fault analysis of three-phase induction motors using information measures and artificial neural networks
4. Deep residual learning-based fault diagnosis method for rotating machinery
5. Fault diagnosis of rotating machinery with ensemble kernel extreme learning machine based on fused multi-domain features
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