TY - GEN
T1 - Notice of Retraction
T2 - 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2013
AU - Li, Zhenzhen
AU - Suzuki, Kazuyuki
AU - Yamamoto, Watalu
PY - 2013
Y1 - 2013
N2 - The automobile warranty period is developing towards long-term warranty direction (160000 km or 10 years), and about 50% of car registrations within 10 years are eliminated. Due to this, information on discarded cars for reasons like obsolescence or outdated need to be considered while estimating the lifetime characteristic in the reliability assessment. Owing to setting of the long-term warranty period, valuable failure data in the market can be easily obtained. In this context, the more frequently the automobile is used, the more the failure opportunity is, and so the method of estimating the lifetime by taking the failure data as the overall usage time distribution may result in wrong estimated result, which should be considered. In this study, we only take the failure data within the warranty period as the object to build the model using the discard time distribution and the failure time distribution and the censoring time distribution. As a result, we proposed a method for improving the lifetime characteristic's estimation precision with information on discarding.
AB - The automobile warranty period is developing towards long-term warranty direction (160000 km or 10 years), and about 50% of car registrations within 10 years are eliminated. Due to this, information on discarded cars for reasons like obsolescence or outdated need to be considered while estimating the lifetime characteristic in the reliability assessment. Owing to setting of the long-term warranty period, valuable failure data in the market can be easily obtained. In this context, the more frequently the automobile is used, the more the failure opportunity is, and so the method of estimating the lifetime by taking the failure data as the overall usage time distribution may result in wrong estimated result, which should be considered. In this study, we only take the failure data within the warranty period as the object to build the model using the discard time distribution and the failure time distribution and the censoring time distribution. As a result, we proposed a method for improving the lifetime characteristic's estimation precision with information on discarding.
KW - discard time distribution
KW - failure mode
KW - lifetime estimation
KW - warranty period
UR - http://www.scopus.com/inward/record.url?scp=84890015847&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890015847&partnerID=8YFLogxK
U2 - 10.1109/QR2MSE.2013.6625691
DO - 10.1109/QR2MSE.2013.6625691
M3 - Conference contribution
AN - SCOPUS:84890015847
SN - 9781479910144
T3 - QR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
SP - 798
EP - 802
BT - QR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
PB - IEEE Computer Society
Y2 - 15 July 2013 through 18 July 2013
ER -