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Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations.

, , , , , and . Inf. Fusion, (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)In-line flow measurement of molten PLA in capillary flow channels using ultrasound., , , , , , and . ICST, page 151-156. IEEE, (2015)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)Gradient-based fuzzy fault isolation in residual-based fault detection systems., , , , , and . FUZZ-IEEE, page 1428-1435. IEEE, (2014)Instantly Deployable Expert Knowledge - Networks of Knowledge Engines., , , , , and . CoRR, (2018)Fault detection in reciprocating compressor valves for steady-state load conditions., , , , and . ISSPIT, page 224-229. IEEE Computer Society, (2011)Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations., , , , , and . Inf. Fusion, (2014)Reducing false positives for residual-based on-line fault detection by means of filters., , , , , and . SMC, page 2745-2750. IEEE, (2014)