@inproceedings{fffb2b76668e4ca99c6d39ffa936e82b,
title = "A joint model of virtual and actual maintenance time with covariates",
abstract = "Virtual maintenance is the application of virtual reality technology in equipment maintenance. The purpose of this paper is to propose a method for joint analysis of virtual and actual maintenance time by means of virtual maintenance technology. We first establish a joint parameter model considering the virtual and real maintenance time under the common factor and give a method to predict the actual maintenance time based on the model. Secondly, discuss the model parameter estimation methods and some properties of the estimates for complete and missing data and then study the feasibility of the parameter estimation method based on EM algorithm with missing data and the stability of the estimate in different missing rates through numerical simulation. Finally, we use the proposed method to analyze the example of equipment maintenance in virtual and actual environment.",
keywords = "EM Algorithm, Joint model, Maintenance time, Virtual maintenance",
author = "Xiaoyue Xie and Jian Shi and Xiaojian Yi and Shulin Liu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019 ; Conference date: 15-08-2019 Through 17-08-2019",
year = "2019",
month = aug,
doi = "10.1109/SDPC.2019.00054",
language = "English",
series = "Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "262--267",
editor = "Chuan Li and Shaohui Zhang and Jianyu Long and Diego Cabrera and Ping Ding",
booktitle = "Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019",
address = "United States",
}