Analysis and Classification of Faults in Switched Reluctance Motors Using Deep Learning Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-05051-y
Abstract: The simple and robust construction, less weight, wide operating speed range, and higher fault tolerance capability of switched reluctance (SR) motor make it a viable contender for the conventional dc and ac machines. The faults… read more here.
Keywords: reluctance motors; reluctance; classification faults; motor ... See more keywords
A Topological Neural-Based Scheme for Classification of Faults in Induction Machines
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industry Applications"
DOI: 10.1109/tia.2020.3032944
Abstract: This article presents a data-driven approach for the classification of faults in induction machines. The designed scheme involves newly engineered features extracted from the line current signals, which provides an improved fault discrimination. For this… read more here.
Keywords: faults induction; classification faults; topological neural; induction machines ... See more keywords