A review on fault detection and diagnosis techniques: basics and beyond
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-020-09934-2.pdf
Reference154 articles.
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3. Abbasi AR, Mahmoudi MR, Avazzadeh Z (2018) Diagnosis and clustering of power transformer winding fault types by cross-correlation and clustering analysis of FRA results. IET Gener Transm Distrib 12(19):4301–4309
4. Abid A, Khan MT, de Silva CW (2018) Layered and real-valued negative selection algorithm for fault detection. IEEE Syst J 12(3):2960–2969
5. Abid A, Khan MT, Lang H, Silva CWD (2019) Adaptive system identification and severity index-based fault diagnosis in motors. IEEE/ASME Trans Mechatron 24(4):1628–1639
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