TY - GEN
T1 - Predictive maintenance with multi-target classification models
AU - Last, Mark
AU - Sinaiski, Alla
AU - Subramania, Halasya Siva
PY - 2010/9/17
Y1 - 2010/9/17
N2 - Unexpected failures occurring in new cars during the warranty period increase the warranty costs of car manufacturers along with harming their brand reputation. A predictive maintenance strategy can reduce the amount of such costly incidents by suggesting the driver to schedule a visit to the dealer once the failure probability within certain time period exceeds a pre-defined threshold. The condition of each subsystem in a car can be monitored onboard vehicle telematics systems, which become increasingly available in modern cars. In this paper, we apply a multi-target probability estimation algorithm (M-IFN) to an integrated database of sensor measurements and warranty claims with the purpose of predicting the probability and the timing of a failure in a given subsystem. The multi-target algorithm performance is compared to a single-target probability estimation algorithm (IFN) and reliability modeling based on Weibull analysis.
AB - Unexpected failures occurring in new cars during the warranty period increase the warranty costs of car manufacturers along with harming their brand reputation. A predictive maintenance strategy can reduce the amount of such costly incidents by suggesting the driver to schedule a visit to the dealer once the failure probability within certain time period exceeds a pre-defined threshold. The condition of each subsystem in a car can be monitored onboard vehicle telematics systems, which become increasingly available in modern cars. In this paper, we apply a multi-target probability estimation algorithm (M-IFN) to an integrated database of sensor measurements and warranty claims with the purpose of predicting the probability and the timing of a failure in a given subsystem. The multi-target algorithm performance is compared to a single-target probability estimation algorithm (IFN) and reliability modeling based on Weibull analysis.
KW - Fault Prognostics
KW - Info-Fuzzy Networks
KW - Multi-Target Classification
KW - Predictive Maintenance
KW - Reliability
KW - Telematics
KW - Vehicle Health Management
UR - http://www.scopus.com/inward/record.url?scp=77956556249&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12101-2_38
DO - 10.1007/978-3-642-12101-2_38
M3 - Conference contribution
AN - SCOPUS:77956556249
SN - 9783642121005
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 368
EP - 377
BT - Intelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings
T2 - 2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010
Y2 - 24 March 2010 through 26 March 2010
ER -