Sök personal

Sök bland våra professorer, lärare och övriga medarbetare

Personal vid Högskolan


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

Rögnvaldsson, Thorsteinn, Panholzer, Georg, Byttner, Stefan, Svensson, Magnus

Konferensbidrag (Refereegranskat)


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.

Nyckelord: computer hard drives; coolants; engine coolant system; fault diagnosis; mechanical engineering computing; mechatronic systems; mechatronics; multiple systems; principal component coding; self-adjusting systems; self-organizing algorithms; unsupervised fault detection; vehicles

Citera: Rögnvaldsson, Thorsteinn, Panholzer, Georg, Byttner, Stefan & Svensson, Magnus, A self-organized approach for unsupervised fault detection in multiple systems, 19th International Conference on Pattern Recognition : (ICPR 2008) ; Tampa, Florida, USA 8-11 December 2008., s. 1-4, 2008http://hh.diva-portal.org/smash/get/diva2:327079/FULLTEXT01.pdf