@inproceedings{e3ad79e76e82475ba3f612048b92a03d,
title = "A task health measurement method based on complex equipment working time prediction",
abstract = "This paper analyzes the development of PHM technology in mechanical, electronic and other systems. Based on the life prediction ability of the PHM (prognostic health management) technology and task decomposition of complex equipment system, a quantitative method combining set pair analysis for evaluating the degree of task health is obtained. A specific case is analyzed based on this approach. At last, the characteristics and limitations of the method are also summarized.",
keywords = "life prediction, set pair analysis, task decomposition, task health",
author = "Dapeng Zhang and Chuan Lu and Dong Zhou and Yuting Jiao",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Prognostics and System Health Management Conference, PHM 2015 ; Conference date: 21-10-2015 Through 23-10-2015",
year = "2016",
month = jan,
day = "12",
doi = "10.1109/PHM.2015.7380100",
language = "English",
series = "Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015",
publisher = "Institute of Electrical and Electronics Engineers",
editor = "Tingdi Zhao and Pecht, \{Michael G.\} and Shunong Zhang",
booktitle = "Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015",
address = "United States",
}