Research summary of weapon electronic equipment fault prediction based on state

被引：5
|
作者：
Hou X. [1 ]
Wang Y. [2 ]
Yang J. [1 ]
Zhang Y. [3 ]
机构：
[1] Air Force Early Warning Academy, Wuhan
[2] Unit 93502 of the PLA, Hohhot
[3] College of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2018年 / 40卷 / 02期
关键词：
Fault prediction; Fault prediction method; On-condition maintenance;
D O I：
10.3969/j.issn.1001-506X.2018.02.18
中图分类号：
学科分类号：
摘要：
With the pursuit of maintenance cost and maintenance effect, condition based maintenance (CBM) has been further developed, as one of the key problems of CBM, fault prediction has become a major research direction in the field of equipment maintenance. At present, the summary of fault prediction is mainly limited to the fault prediction methods, there is not a systematic and comprehensive description of the fault prediction research. In order to have a systematic and comprehensive understanding of the research of fault prediction, a summary of the research on fault prediction of weapon electronic equipment based on state is made from the content, object and method of fault prediction, and the related fault prediction methods are analyzed and combed. Aiming at the problems of fault prediction, based on literature summaries, an analysis method of equipment fault prediction based on state is presented, so as to provide reference for the troops to carry out reasonable and scientific fault prediction. © 2018, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码：360 / 367
页数：7
相关论文
共 61 条
  • [1] Malley M.E., Methodology for simulating the joint strike fighter's (JSF) prognostics and health management systems, (2001)
  • [2] Bengtssonl M., Olsson L., Funk P., Et al., Technical design of condition based maintenance system-a case study using sound analysis and case based reasoning, Proc. of the 8th Conference on Maintenance and Reliability, (2004)
  • [3] Peng Y., Liu D.T., Peng X.Y., Summary of fault prediction and health management technology, Journal of Electronic Measurement and Instrument, 24, 1, pp. 1-9, (2010)
  • [4] Tao L.F., Fan H.Z., Lu C., Et al., A review on electro-mechanically systems prognostics, Control Engineering of China, 18, 4, pp. 636-639, (2011)
  • [5] Jing X.Y., Research on fault prediction method of electronic equipment based on intelligent theory, (2010)
  • [6] Pipe K., Practical prognostics for condition based maintenance, Proc. of the IEEE International Conference on Prognostics and Health Management, (2008)
  • [7] Jiang D.X., Liu C., Condition classification and tendency prediction for prognostics using feature extraction and reconstruction, Proc. of the IEEE International Conference on Prognostics and Health Management, (2010)
  • [8] Xiang J.W., Liu Y., Luo Z.P., Flight safety measurements of UAVs in congested airspace, Chinese Journal of Aeronautics, 29, 5, pp. 1355-1366, (2016)
  • [9] Sun B., Kang R., Xie J.S., Summary on the research and application of fault prediction and health management system, Systems Engineering and Electronics, 29, 10, pp. 1762-1767, (2007)
  • [10] Zhang L., Li X.S., Yu J.S., A review of fault prognostics in condition based maintenance, Proc. of the 6th International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, (2006)
1234567