Title :
Self-organizing maps for automatic fault detection in a vehicle cooling system
Author :
Svensson, Magnus ; Byttner, Stefan ; Rögnvaldsson, Thorsteinn
Author_Institution :
Volvo Technol., Goteborg
Abstract :
A telematic based system for enabling automatic fault detection of a population of vehicles is proposed. To avoid sending huge amounts of data over the telematics gateway, the idea is to use low-dimensional representations of sensor values in sub-systems in a vehicle. These low-dimensional representations are then compared between similar systems in a fleet. If a representation in a vehicle is found to deviate from the group of systems in the fleet, then the vehicle is labeled for diagnostics for that subsystem. The idea is demonstrated on the engine coolant system and it is shown how this self-organizing approach can detect varying levels of clogged radiator.
Keywords :
automotive components; cooling; fault diagnosis; maintenance engineering; mechanical engineering computing; self-organising feature maps; automatic fault detection; clogged radiator; engine coolant system; self-organizing maps; telematic based system; vehicle cooling system; Computer errors; Cooling; Data mining; Engines; Fault detection; Production systems; Self organizing feature maps; Telematics; Vehicle detection; Vehicles; Anomaly detection; Diagnostics; Self-Organizing Maps;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670481