English Version

首页» 学术科研» 讲座信息

[2015-09-25]Augmenting the Unreturned for Field Data with Information on Returned Failures Only


北京大学工学院



工业工程与管理系学术报告


Augmenting the Unreturned for Field Data with

Information on Returned Failures Only


报告人  Dr. Zhisheng Ye


主持人:侍乐媛  教授


  间:2015925(周五)  9:00-11:00


  点:方正大厦512会议室

 

 

报告内容摘要:

Field data are an important source of reliability information for many commercial products. Because field data are often collected by the maintenance department, information on failed and returned units is well maintained. Nevertheless, information on unreturned units is generally unavailable. The unavailability leads to truncation in the lifetime data. This study proposes a data augmentation algorithm for this type of truncated field return data with returned failures available only. The algorithm is based on an idea to reveal the hidden unobserved lifetimes. Theoretical justifications of the procedure for augmenting the hidden unobserved are given. On the other hand, the algorithm is iterative in nature. Asymptotic properties of the estimators from the iterations are investigated. Both point estimation and the information matrix of the parameters can be directly obtained from the algorithm. In addition, a by-product of the algorithm is a non-parametric estimator of the installation time distribution. After the talk, we will introduce the postgraduate program available at the Department of Industrial & Systems Engineering, NUS.

报告人简介:

Dr. Ye received a joint B.E. (2008) in Material Science & Engineering, and Economics from Tsinghua University. He received a Ph.D. degree from National University of Singapore. He is currently Assistant Professor at the Department of Industrial & Systems Engineering, National University of Singapore. He is also an honorary research fellow in the business school, University of Strathclyde, UK. His research areas include degradation analysis using stochastic processes, survival analysis for product failure data, and reliability modelling for complex systems involving human behaviors.

 

欢迎广大老师和同学们参加!