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Fuzzy fault isolation using gradient information and quality criteria from system identification models.

, , , , , and . Inf. Sci., (2015)

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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, (2011)Instantly Deployable Expert Knowledge - Networks of Knowledge Engines., , , , , and . CoRR, (2018)Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations., , , , , and . Information Fusion, (2014)Reducing false positives for residual-based on-line fault detection by means of filters., , , , , and . SMC, page 2745-2750. IEEE, (2014)On the robustness of fault detection in reciprocating compressor valves., , , , , and . SMC, page 2733-2738. 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. Sig. Proc., 2005 (18): 3069-3075 (2005)Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection., , , , , and . NaBIC, page 91-96. IEEE, (2014)Fuzzy fault isolation using gradient information and quality criteria from system identification models., , , , , and . Inf. Sci., (2015)