Fault Prediction and Health Management Technology of Fire Control System

Yingshun Li, Tong Zhou, Xiaojian Yi, Haiyang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fault prediction and health management (PHM) technology is of great significance to reduce the maintenance cost of fire control equipment, enhance the completeness of fire control system and improve the management efficiency of fire control system. According to the development status and application requirements of general fire control system, PHM technology is introduced into the fire control system. The article introduces the principle of PHM technology and development situation at home and abroad, introduces the key technology of PHM, PHM system structure, PHM system structure of main functional modules and fire control system, and information fusion weapon fire control system fault diagnosis and health management technology research, finally, the fire control system of PHM technology development trend is prospected.

Original languageEnglish
Title of host publicationProceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020
EditorsYong Qin, Ming J. Zuo, Xiaojian Yi, Limin Jia, Dejan Gjorgjevikj
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages242-246
Number of pages5
ISBN (Electronic)9781728170503
DOIs
Publication statusPublished - 5 Aug 2020
Externally publishedYes
Event4th International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020 - Virtual, Beijing, China
Duration: 5 Aug 20207 Aug 2020

Publication series

NameProceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020

Conference

Conference4th International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020
Country/TerritoryChina
CityVirtual, Beijing
Period5/08/207/08/20

Keywords

  • Fire control systems
  • PHM architecture
  • failure prediction
  • health management
  • information fusion

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