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Gradient-based fuzzy fault isolation in residual-based fault detection systems., , , , , and . FUZZ-IEEE, page 1428-1435. IEEE, (2014)Fuzzy fault isolation using gradient information and quality criteria from system identification models., , , , , and . Inf. Sci., (2015)Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills., , , , and . Inf. Sci., (2014)On-Line Modelling Based on Genetic Programming., , , , and . ALaRT, page 119-130. University Siegen, Germany, (2005)Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters., , , , , , and . Appl. Soft Comput., (2017)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)Online modelling based on Genetic Programming., , , , and . IJISTA, 2 (2/3): 255-270 (2007)Reducing false positives for residual-based on-line fault detection by means of filters., , , , , and . SMC, page 2745-2750. IEEE, (2014)Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations., , , , , and . Information Fusion, (2014)