Prognostics and health management technology for new-generation weapon

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (13): 199-202.

• 工程与应用 • Previous Articles Next Articles

Prognostics and health management technology for new-generation weapon

GUO Yang-ming¹,CAI Xiao-bin^1,2,ZHANG Bao-zhen³,ZHAI Zheng-jun¹

1.School of Computer Science，Northwestern Polytechnical University，Xi’an 710072，China
2.Committee of Science and Technology of China Aviation Industry CorporationⅠ，Beijing 100068，China
3.Aviation Industry Development Research Center of China，Beijing 100068，China

Received:2007-11-05 Revised:2007-12-25 Online:2008-05-01 Published:2008-05-01
Contact: GUO Yang-ming

新一代装备的预测与健康状态管理技术

郭阳明¹,蔡小斌^1,2,张宝珍³,翟正军¹

1.西北工业大学计算机学院，西安 710072
2.中航一集团科技委，北京 100068
3.中国航空工业发展研究中心，北京 100068

通讯作者: 郭阳明

Abstract

Abstract: Prognostics and Health Management（PHM） technology is not only an advanced technology of test and maintenance for new generation weapon，but also an all-round technology of fault detection，isolation and prognostic and health management.PHM technology is becoming one of the most important parts of design and usage of new generation weapon.An overview of connotation，function，structure and working principle of PHM technologies are given first，and we introduce the key technologies related to PHM in detail，and then we present it’s current application.Lastly we prospect the development direction of PHM technology in the future and point out significance to the development of national defence industry.

Key words: prognostics and health management, test, maintenance, management

摘要： 预测和健康状态管理（PHM）技术是一种先进测试、维修技术，更是一种全面的故障检测、隔离和预测及状态管理技术。PHM技术正在成为新一代武器装备设计和使用中的一个重要组成部分。论文首先综述了PHM技术的内涵、功能、结构和工作原理，并对PHM技术涉及到的关键技术进行了详细的介绍，然后介绍了PHM技术的应用现状，最后展望了该技术的发展趋势以及对我国国防工业的借鉴意义。

关键词: 预测与健康状态管理, 测试, 维修, 管理

GUO Yang-ming¹,CAI Xiao-bin^1,2,ZHANG Bao-zhen³,ZHAI Zheng-jun¹. Prognostics and health management technology for new-generation weapon[J]. Computer Engineering and Applications, 2008, 44(13): 199-202.

郭阳明¹,蔡小斌^1,2,张宝珍³,翟正军¹. 新一代装备的预测与健康状态管理技术[J]. 计算机工程与应用, 2008, 44(13): 199-202.

[1]	LI Jun. Improved Social Force Crowd Evacuation Simulation Model Combined with Shortest Path [J]. Computer Engineering and Applications, 2021, 57(8): 264-270.
[2]	YANG Bo, TAO Qingchuan, DONG Peijun. Surgical Instrument Segmentation Method Based on Improved Deeplab v3+ Network [J]. Computer Engineering and Applications, 2021, 57(7): 222-227.
[3]	HUO Guangyu, ZHANG Yong, SUN Yanfeng, YIN Baocai. Research on Archive Data Intelligent Classification Based on Semantic [J]. Computer Engineering and Applications, 2021, 57(6): 247-253.
[4]	MEN Jiawei, LAI Chengzhe. Trust Management Scheme with Incentive Mechanism for Cooperative Download of Internet of Vehicles [J]. Computer Engineering and Applications, 2021, 57(5): 100-106.
[5]	ZHANG Weikang, LIU Sheng, REN Chunhui. Mixed Strategy Improved Sparrow Search Algorithm [J]. Computer Engineering and Applications, 2021, 57(24): 74-82.
[6]	XU Chenhua, LUO Zhuguang, WU Guanhong, LIU Bin. Grey Wolf Optimization Algorithm Based on Sine Factor and Quantum Local Search [J]. Computer Engineering and Applications, 2021, 57(24): 83-89.
[7]	LI Duo, DONG Chaoqun, SI Pinchao, HE Man, LIU Qianchao. Survey of Research on Neural Network Verification and Testing Technology [J]. Computer Engineering and Applications, 2021, 57(22): 53-67.
[8]	LI Shouyu, HE Qing, DU Nisuo. Piecewise Weight and Mutation Opposition-Based Learning Butterfly Optimization Algorithm [J]. Computer Engineering and Applications, 2021, 57(22): 92-101.
[9]	WEI Danni, YANG Youlong, QIU Haiquan. Self-Training Algorithm Combining Density Peak and Cut Edge Weight [J]. Computer Engineering and Applications, 2021, 57(2): 70-76.
[10]	ZUO Kuo, LI Ning, TIAN Ying’ai, HOU Xia. Automatic Testing Method for Typesetting Effect of Reflowable Document [J]. Computer Engineering and Applications, 2021, 57(2): 273-278.
[11]	TIAN Yang, CHEN Zhigang, SONG Xinxia, LI Tianming. Overview of Blockchain Application in Supply Chain Management [J]. Computer Engineering and Applications, 2021, 57(19): 70-83.
[12]	ZHANG Jie, CHANG Tianqing, GUO Libin, ZHANG Lei, MA Jindun. Target Loss Judgment Method Based on Tracking Anomaly and Correlation Test [J]. Computer Engineering and Applications, 2021, 57(18): 204-212.
[13]	SUN Shuang, CHEN Yan, PIAO Zaiji, ZHANG Jinsong. Survey of Spatiotemporal Pattern Mining and Management Decision of Trajectory Data [J]. Computer Engineering and Applications, 2021, 57(16): 16-26.
[14]	WU Xudong, TANG Qi, ZHANG Wei, ZHANG Jian, WEI Jibo, WANG Yijun. Research on SCA Compliance Testing Method Based on Extended Finite State Machine [J]. Computer Engineering and Applications, 2021, 57(16): 263-268.
[15]	TAN Lijuan, ZHENG Wei, LIU Youlin, FAN Xin, YANG Fengyu. Survey of Airborne Software Test and Verification Methods for Airworthiness Standards [J]. Computer Engineering and Applications, 2021, 57(15): 9-22.

Prognostics and health management technology for new-generation weapon

新一代装备的预测与健康状态管理技术

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics