基于证据推理的航天继电器故障预测方法

doi:10.6040/j.issn.1672-3961.0.2017.211

Abstract

Abstract: To solve the high failure ratio problem of aerospace relay and strong uncertainty in its failure prognosis, a failure prognosis method based on evidential reasoning(ER)by fusing multiple fault characteristics information was proposed. The JRC-7M aerospace relay was chosen as the research object and its characteristic parameters, super-path time and pick-up time, were chosen as the main fault characteristics. In the proposed method, a forecasting model based on the third-order Volterra filter was proposed to online predict the fault characteristics' information, then an adaptive weighting model based on coefficient of variation-based weighting was adopted to calculate the relative weight. To obtain a comprehensive failure prognosis result of the aerospace relay, an safety assessment aggregation scheme based on the ER approach was developed to fuse multiple fault characteristics, and the “history”, “current” and “future” fault state information were synthetically fused. The validity of the proposed method was verified by the testing data collected by the STS2104A electromagnetic relay test system.

Key words: information fusion, failure prognosis, evidential reasoning, aerospace relay

CLC Number:

TP301.6

ZHOU Zhijie, ZHAO Fujun, HU Changhua, WANG Li, FENG Zhichao, LIU Taoyuan. Failure prognosis method based on evidential reasoning for aerospace relay[J].JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 22-29.

References

[1] 王召斌, 尚尚, 翟国富. 航天继电器贮存可靠性退化试验与评价方法研究[J]. 电器与能效管理技术, 2015(8):1-7. WANG Zhaobin, SHANG Shang, ZHAI Guofu. Review of storage reliability degradation test and evaluation technology of aerospace relay[J]. Electrical & Energy Management Technology, 2015(8):1-7.
[2] 黄晓毅. 航天继电器贮存加速试验及寿命预测方法的研究[D]. 哈尔滨: 哈尔滨工业大学, 2013. HUANG Xiaoyi. Research on storage accelerated test and life prediction for aerospace relay[D]. Harbin Institute of Technology, 2013.
[3] 符赛, 王召斌, 尚尚. 继电器贮存失效机理及可靠性试验方法综述[J]. 电器与能效管理技术, 2016(16):13-19. FU Sai, WANG Zhaobin, SHANG Shang. Review of relay storage failure mechanisms and reliability test methods[J]. Electrical & Energy Management Technology, 2016(16):13-19.
[4] FONTANA W J. Electromagnetic relay reliability predictions by designed life experiments and Wei-bull analysis[J]. IEEE Transactions on Parts, Materials and Packing, 1965, 1(1):309-319.
[5] MIYA Jima K, NITTA S, MUTOH A. A proposal on contact surface model of electromagnetic relays based on the change in showering arc wave forms with the number of contact operations[J]. IEICE Transaction Electronics, 1998, E81C(3):399-407.
[6] 姜东升, 张沛, 柳新军. 航天继电器浪涌电流作用下电接触寿命研究[J]. 航天器环境工程, 2013, 30(6): 623-626. JIANG Dongsheng, ZHANG Pei, LIU Xinjun. The welding mechanism and related protection technology for aerospace magnetic latching relay[J]. Spacecraft Environment Engineering, 2013, 30(6): 623-626.
[7] 马跃, 邓杰, 孟彦辰, 等. 不同负载条件下航天继电器接触失效机理分析[J]. 低压电器, 2013(23):14-19. MA Yue, DENG Jie, MENG Yanchen, et al. Analysis of contact failure mechanism of aerospace relays[J]. Low Voltage Electrical Apparatus, 2013(23):14-19.
[8] 陆俭国, 骆燕燕, 李文华,等.航天继电器贮存寿命试验及失效分析[J].电工技术学报, 2009, 24(2):55-59. LU Jianguo, LUO Yanyan, LI Wenhua, et al. Storage life test and failure analysis of aerospace relays[J]. Transactions of China Electrotechnical Society, 2009, 24(2): 55-59.
[9] 李志刚, 刘伯颖, 李玲玲,等. 基于小波包变换及RBF神经网络的继电器寿命预测[J]. 电工技术学报, 2015, 30(14): 233-240. LI Zhigang, LIU Boying, LI Lingling, et al. Life prediction of relay based on wavelet packet transform and RBF neural network[J]. Transactions of China Electrotechnical Society, 2015, 30(14):233-240.
[10] 翟国富, 王淑娟, 许峰, 等. 基于超程时间和吸合时间建模的继电器双变量寿命预测方法的研究[J].中国电机工程学报, 2007, 22(7): 76-80. ZHAI Guofu, WANG Shujuan, XU Feng, et al. Research on double-variable life forecasting based on model-building of super-path and pick-up time for relays[J]. Proceedings of the CSEE, 2007, 22(7): 76-80.
[11] 董宝旭, 王淑娟, 孟彦辰, 等. 基于Wiener过程的航天继电器可靠性评估方法[J]. 电器与能效管理技术, 2015(11):12-16. DONG Baoxu, WANG Shujuan, MENG Yanchen, et al. Reliability assessment method for aerospace relay based on Wiener process[J]. Electrical & Energy Management Technology, 2015(11):12-16.
[12] 孙东旺. 航天用继电器动态特征与可靠性在线预测方法的研究[D]. 天津:河北工业大学, 2013. SUN Dongwang. Online prediction method for dynamics and reliability of aerospace relay[D]. Tianjin: Hebei University of Technology, 2013.
[13] HU J, ZHANG L, LIANG W. An adaptive online safety assessment method for mechanical system with pre-warning function [J]. Safety Science, 2012, 50(3): 385-399.
[14] YANG Jianbo, WANG Yinming, XU Donglin, et al. The evidential reasoning approach for MADA under both probabilistic and fuzzy an certainties[J]. European Journal of Operational Research, 2006, 171(1):309-343.
[15] YANG Jianbo, XU Donglin. Nonlinear information aggregation via evidential reasoning in multiattribute decision analysis under uncertainty. IEEE Transactions System, Man, and Cybernetics Part A: Systems and Humans, 2002, 32(3):376-393.
[16] ZHOU Zhijie, HU Changhua, HU Guanyu, et al. Hidden behavior prediction of complex systems under testing influence based on semi-quantitative information and belief rule base[J]. IEEE Transactions on Fuzzy Systems, 2015, 23(6): 2371-2386.
[17] 韦保林, 罗晓曙, 王秉宏, 等. 一种基于三阶Volterra滤波器的混沌时间序列自适应预测方法[J]. 物理学报, 2002, 51(10):2205-2210. WEI Baolin, LUO Xiaoshu, WANG Binghong, et al. A method based on the third order Volterra filter for adaptive predictions of chaotic time series[J]. Acta Physica Sinica, 2002, 51(10): 2205-2210.
[18] 张家树, 肖先赐. 用于混沌时间序列自适应预测的一种少参数二阶Volterra滤波器[J]. 物理学报, 2001, 50(7):1248-1254. ZHANG Jiashu, XIAO Xianci. A reduced parameter second order Volterra filter with application to nonlinear adaptive prediction of chaotic time series[J]. Acta Physica Sinica, 2001, 50(7):1248-1254.
[19] LO T P, GUO S J. Effective weighting model based on the maximum deviation with uncertain information[J]. Expert Systems with Applications, 2010, 37(12): 8445-8449.
[20] YANG Jianbo. Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties[J]. European Journal of Operational Research, 2001, 131(1):31-61.
[21] WANG Yinming, YANG Jianbo, XU Donglin. Environmental impact assessment using the evidential reasoning approach[J]. European Journal of Operational Research, 2006, 174(3):1885-1913.
[22] YANG Jianbo, XU Donglin. Evidential reasoning rule for evidence combination[J]. Artificial Intelligence, 2013, 205:1-29.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

Failure prognosis method based on evidential reasoning for aerospace relay

PDF (PC)

Abstract

Cite this article

share this article

References

Related Articles 7

Metrics

Comments

Recommended 0

[1]	TANG Leshuang, TIAN Guohui, HUANG Bin. An object fusion recognition algorithm based on DSmT [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(1): 50-56.
[2]	LI Faquan, YANG Licai, YAN Hongbo. An emotion recognition method of multiphysiological information fusion based on PCA-SVM [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(6): 70-76.
[3]	SHEN Xiaojing, CHEN Ming, CHI Tao. An novel information fusion algorithm of multi-Agent water quality monitoring system [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(4): 39-45.
[4]	LI Jing-hui, YANG Li-cai*. An attitude estimation algorithm for human body based on multi-sensor information fusion [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2013, 43(5): 49-54.
[5]	SUN Jia-bing1,2, ZHANG Cheng-jin1*. Optimal fusion filtering for systems with stochastic parametric uncertainties and packet dropouts [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(6): 59-65.
[6]	ZHANG Mei1,3, FU Xiao-ling2, CUI Peng1. Multi-sensor optimal information fusion for time-delay systems with multiplicative noise [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2010, 40(6): 17-23.
[7]	YANG Li-cai,YE Yang,NIE Hong-tao,LIU Hui-hui,LIN Jie . Traffic information fusion algorithm of RBF network based on an artificial immune system and fuzzy clustering [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2008, 38(5): 1-5 .