A Data Fusion-Based Methodology of Constructing Health Indicators for Anomaly Detection and Prognostics

Shaowei Chen, Pengfei Wen, Shuai Zhao, Dengshan Huang, Meng Wu, Yaming Zhang

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018
EditorsDian Wang, Yong Zhou, Diego Cabrera, Chuan Li, Chunlin Zhang
Number of pages7
PublisherIEEE Signal Processing Society
Publication date11 Mar 2019
Pages570-576
Article number8664723
ISBN (Electronic)9781538660577
DOIs
Publication statusPublished - 11 Mar 2019
Externally publishedYes
Event2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018 - Xi'an, China
Duration: 15 Aug 201817 Aug 2018

Conference

Conference2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018
CountryChina
CityXi'an
Period15/08/201817/08/2018
SponsorBeijing Institute of Technology, Carleton University, Chongqing Technology and Business University, et al., IEEE, Northwestern Polytechnical University
SeriesProceedings - 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018

Bibliographical note

Funding Information:
This work was supported by Scientific Research Program Funded by Shaanxi Provincial Education Department (Program No. 16JK1604) and Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2017JM6068).

Publisher Copyright:
© 2018 IEEE.

Keywords

  • anomaly detection
  • Genetic Algorithm
  • health indicators
  • RUL prediction

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