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A new unsupervised approach to fault detection and identification., , and . IJCNN, page 1557-1564. IEEE, (2014)Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier., , and . Neurocomputing, (2015)Online fault detection based on Typicality and Eccentricity Data Analytics., , , and . IJCNN, page 1-6. IEEE, (2015)A new evolving clustering algorithm for online data streams., , , and . EAIS, page 162-168. IEEE, (2016)A comparative study of autonomous learning outlier detection methods applied to fault detection., , , and . FUZZ-IEEE, page 1-7. IEEE, (2015)An evolving approach to unsupervised and Real-Time fault detection in industrial processes., , , and . Expert Syst. Appl., (2016)An evolving approach to data streams clustering based on typicality and eccentricity data analytics., , , and . Inf. Sci., (2020)Unsupervised classification of data streams based on Typicality and Eccentricity Data Analytics., , , and . FUZZ-IEEE, page 58-63. IEEE, (2016)RDE with Forgetting: An Approximate Solution for Large Values of k with an Application to Fault Detection Problems., , , and . SLDS, volume 9047 of Lecture Notes in Computer Science, page 169-178. Springer, (2015)