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Gradient-based fuzzy fault isolation in residual-based fault detection systems.

, , , , , and . FUZZ-IEEE, page 1428-1435. IEEE, (2014)

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Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection., , , , , and . NaBIC, page 91-96. IEEE, (2014)Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection., , , , and . MIM, page 1530-1535. International Federation of Automatic Control, (2013)Ultra-Wideband Transceivers for Cochlear Implants., , , , , and . EURASIP J. Adv. Signal Process., 2005 (18): 3069-3075 (2005)Instantly Deployable Expert Knowledge - Networks of Knowledge Engines., , , , , and . CoRR, (2018)Gradient-based fuzzy fault isolation in residual-based fault detection systems., , , , , and . FUZZ-IEEE, page 1428-1435. IEEE, (2014)Fault detection in reciprocating compressor valves for steady-state load conditions., , , , and . ISSPIT, page 224-229. IEEE Computer Society, (2011)Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills., , , , and . Inf. Sci., (2014)Fuzzy fault isolation using gradient information and quality criteria from system identification models., , , , , and . Inf. Sci., (2015)Detecting broken reciprocating compressor valves in the pV diagram., , , , , and . AIM, page 1625-1630. IEEE, (2013)Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram., , , , , and . Pattern Anal. Appl., 18 (2): 461-472 (2015)