Indirect monitoring and early detection of faults in trains' motors
Author:
Affiliation:
1. Indian Institute of TechnologyRoorkeeIndia
2. Department of Energy, Systems, Territory and Constructions EngineeringUniversity of PisaPisaItaly
3. Trenitalia S.p.A.FirenzeItaly
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-est.2017.0056
Reference25 articles.
1. Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey
2. Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques
3. Robust condition monitoring for early detection of broken rotor bars in induction motors
4. Robust detection of incipient faults in VSI‐fed induction motors using quality control charts;Garcia‐Escudero L.A.;IEEE Trans. Ind. Appl.,2016
5. Cascade Neural-Network-Based Fault Classifier for Three-Phase Induction Motor
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