Publications:A self-organized approach for unsupervised fault detection in multiple systems

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Title A self-organized approach for unsupervised fault detection in multiple systems
Author Thorsteinn Rögnvaldsson and Georg Panholzer and Stefan Byttner and Magnus Svensson
Year 2008
PublicationType Conference Paper
Journal
HostPublication 19th International Conference on Pattern Recognition : (ICPR 2008) ; Tampa, Florida, USA 8-11 December 2008
Conference 19th International Conference on Pattern Recognition (ICPR 2008),Tampa, FL, DEC 08-11, 2008
DOI http://dx.doi.org/10.1109/ICPR.2008.4761283
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:327079
Abstract An approach is proposed for automatic fault detection in a population of mechatronic systems. The idea is to employ self-organizing algorithms that produce low-dimensional representations of sensor and actuator values on the vehicles, and compare these low-dimensional representations among the systems. If a representation in one vehicle is found to deviate from, or to be not so similar to, the representations for the majority of the vehicles, then the vehicle is labeled for diagnostics. The presented approach makes use of principal component coding and a measure of distance between linear sub-spaces. The method is successfully demonstrated using simulated data for a commercial vehiclepsilas engine coolant system, and using real data for computer hard drives.