Consistency check of degradation mechanism between natural storage and enhancement test for missile servo system

doi:10.21629/JSEE.2019.02.19

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (2): 415-424.doi: 10.21629/JSEE.2019.02.19

• Reliability • Previous Articles Next Articles

Consistency check of degradation mechanism between natural storage and enhancement test for missile servo system

Xu Wang^1,²(), Quan Sun^1,^3,*()

¹ College of Information Systems and Management, National University of Defense Technology, Changsha 410073, China
² The Second Academy of China Aerospace Science and Industry Corporation, Beijing 100854, China
³ Hunan Ginkgo Reliability Technology Institute Limited Corporation, Changsha 410100, China

Received:2018-09-28 Online:2019-04-01 Published:2019-04-28
Contact: Quan Sun E-mail:wangxu1029@sina.com;2183163572@qq.com
About author:WANG Xu was born in 1979. He is a deputy commander in chief and a chief quality engineer in the Second Academy of China Aerospace Science and Industry Corporation, and a Ph.D. in National University of Defense Technology. His research interests are project quality management and reliability engineering management.E-mail:wangxu1029@sina.com|SUN Quan was born in 1973. He is a professor and a Ph.D. supervisor in National University of Defense Technology, and a general manager in Hunan Ginkgo Reliability Technology Institute Limited Corporation. His research interests are lifetime and reliability predication technologies of long-time products.E-mail:2183163572@qq.com
Supported by:
the Natural Science Foundation of Hunan Province(2018JJ2282);This work was supported by the Natural Science Foundation of Hunan Province (2018JJ2282)

Abstract

Abstract:

Reliability enhancement testing (RET) is an accelerated testing which hastens the performance degradation process to surface its inherent defects of design and manufacture. It is an important hypothesis that the degradation mechanism of the RET is the same as the one of the normal stress condition. In order to check the consistency of two mechanisms, we conduct two enhancement tests with a missile servo system as an object of the study, and preprocess two sets of test data to establish the accelerated degradation models regarding the temperature change rate that is assumed to be the main applied stress of the servo system during the natural storage. Based on the accelerated degradation models and natural storage profile of the servo system, we provide and demonstrate a procedure to check the consistency of two mechanisms by checking the correlation and difference of two sets of degradation data. The results indicate that the two degradation mechanisms are significantly consistent with each other.

Key words: reliability enhancement testing (RET), degradation model, accelerated equation, consistency check, Pearson correlation coefficient

Xu Wang, Quan Sun. Consistency check of degradation mechanism between natural storage and enhancement test for missile servo system[J]. Journal of Systems Engineering and Electronics, 2019, 30(2): 415-424.

Figures/Tables 10

Fig 1

Fig 2

Table 1

Table 2

Table 3

Fig 3

Table 4

Table 5

Table 6

Table 7

References 22

1	JIANG P, CHEN X, ZHANG C H. Reliability enhancement testing. Structure & Environment Engineering, 2003, 30 (1): 58- 64.
2	NELSON W. Accelerated testing:statistical methods, test plans, and data analysis. New York: Wiley, 1990.
3	SHANG G Z, FU G C, WAN B. Component storage life prediction based on accelerated performance degradation. Electronic Product Reliability and Environment Testing, 2009, 27 (5): 32- 36.
4	GAO L N, ZHAO L. Life prediction of electronic equipment based on step-stress accelerated degradation test under temperature stress. Electronic Components and Materials, 2014, 33 (6): 72- 76.
5	LIAO H T, ELSAYED A. Reliability inference for field conditions from accelerated degradation testing. Wiley Inter Science, 2006, 18 (3): 576- 587. doi: 10.1002/nav.20163
6	FENG J. Consistent test of accelerated storage degradation failure mechanism based on rank correlation coefficient. Journal of Aerospace Power, 2011, 26 (11): 2439- 2444.
7	MEEKER W Q, ESCOBAR L A, LU C J. Accelerated degradation tests:modeling and analysis. Technometrics, 1998, 40, 89- 99. doi: 10.1080/00401706.1998.10485191
8	CAREY M B, KOENIG R H. Reliability assessment based on accelerated degradation:a case study. IEEE Trans. on Reliability, 1991, 40, 499- 506. doi: 10.1109/24.106763
9	HU J M, BARKER D, DASGUPTA A, et al. Role of failure mechanism identification in accelerated testing. Institute of Environmental Sciences & Technology, 1993, 36 (4): 39- 45.
10	WANG Q C, CHEN Y X, DENG F L, et al. Approach of determining accelerated degradation mechanism consistency's boundary for accelerometers. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38 (11): 1512- 1516.
11	GUO C S, XIE X S, MA W D, et al. A failure mechanism identification method in accelerated testing. Chinese Journal of Semiconductors, 2006, 27 (3): 560- 563.
12	YAO J, WANG H, SU Q. Consistency identification method of failure mechanism based on grey theory. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39 (6): 734- 738.
13	PAN X Q, KANG R. Identification method of failure mechanism consistency for accelerated testing based on grey forecasting. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39 (6): 787- 791.
14	LI X G, WANG Y H. Identification method of failure mechanism consistency by non-equidistance grey theory model. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40 (7): 899- 904.
15	ZHOU Y Q, WENG Z X, YE X T. Study on accelerated factor and condition for constant failure mechanism (I):the case for life-time is a random variable. Systems Engineering and Electronics, 1996, 18 (1): 55- 66.
16	XI W J, WANG H W, WANG R. Failure mechanism consistency identification based on acceleration coefficient principle. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41 (12): 2198- 2204.
17	WANG H W, XU T X, WANG W Y. Test method of failure mechanism consistency based on degradation model. Journal of Aeronautics, 2015, 36 (3): 889- 897.
18	GUO C S, WANG N, MA W D, et al. Rapid identification of the consistency of failure mechanism for constant temperature stress accelerated testing. Chinese Journal of Physics, 2013, 62 (6): 470- 474.
19	LIN F C, WANG Q C, CHEN Y X, et al. Pseudo-life-based test method of mechanism consistency boundary for accelerated degradation testing. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38 (2): 233- 238.
20	ZHOU Y Q, WENG C X. Statistical inferences of environmental factors for the lognormal distribution. System Engineering and Electronics, 1996, 18 (10): 73- 81.
21	BIRNBAUM Z, SAUNDERS S. A new family of life distribution. Applied Probability, 1969, 319- 327.
22	ZHAO J Y, SUN Q, PENG B H. Inferences for the BS life model from accelerated degradation tests. Electronic Product Reliability and Environmental Testing, 2006, 24 (1): 11- 14.

$ \widehat{\gamma}$	$\widehat{a}$	$\widehat{b}$	$\sigma^2_{\widetilde{Y}_i}$
2.138 6×10^?6	1.180 6×10^?5	-0.995 7	2.505 4×10^?10

Temperature change rate/(^?C/min)	$\widetilde{\mu}_{i}^{\rm{change}}$	$(\widetilde{\sigma }_i^{\rm{change}})^2$
20	0.085 0×10^?3	1.445 2×10^?9
25	0.123 3×10^?3	2.070 2×10^?9
30	0.154 8×10^?3	4.791 6×10^?9

$ \widehat{\alpha}_1$	$\widehat{\beta}_1$	$\widehat{\alpha}_2$	$\widehat{\beta}_2$
1.006 7·10^?6	1.485 0	2.185 2·10^?12	2.906 5

$ \widehat{\mu}_{\rm mean}$	$\widehat{\sigma}_{\rm mean}^2$	$\widehat{\mu}_{var}$	$\widehat{\sigma}_{var}^2$
2.529 9×10^?9	9.248 1×10^?12	–5.504 5×10^?10	2.316 9×10^?17

Natural storage environment	Measurements	Cumulative test time/min	Critical performance degradation
Normal stress S₀(0.016 8^?C/min)	1	0	0
	2	0.5	0.000 6
	3	1	0.001 3
	4	1.5	0.002 0
	5	2	0.002 6
	6	2.5	0.003 2
	7	3	0.003 8
	8	3.5	0.004 4
	9	4	0.005 2
	10	4.5	0.005 8
	11	5	0.006 5

Consistency check of degradation mechanism between natural storage and enhancement test for missile servo system

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

Figures/Tables 10

References 22

Related Articles 3

Recommended Articles

Metrics

Comments

RET environment/(^?C/min)	Measurements	Cumulative test time/min	Temperature change time/min	Temperature keeping time/min	Critical performance degradation (10^?3)
20		3.50	3.50
	1	13.50		10	0.800 0
		19.00	5.50
	2	29.00		10	0.400 0
		34.50	5.50
	3	44.50		10	0.700 0
		50.00	5.50
	4	60.00		10	0.300 0
25		64.40	4.40
	5	74.40		10	0.700 0
		78.80	4.40
	6	88.80		10	0.400 0
		93.20	4.40
	7	103.20		10	0.900 0
		107.60	4.40
	8	117.60		10	0.400 0
30		121.27	3.67
	9	131.27		10	0.800 0
		134.93	3.67
	10	144.93		10	0.300 0

[1]	Tingting HUANG, Bo PENG, Yuepu ZHAO, Zixuan YU. Reliability assessment considering stress drift and shock damage caused by stress transition shocks in a dynamic environment [J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 1025-1034.
[2]	Zhongyi CAI, Yunxiang CHEN, Jiansheng GUO, Qiang ZHANG, Huachun XIANG. Remaining lifetime prediction for nonlinear degradation device with random effect [J]. Journal of Systems Engineering and Electronics, 2018, 29(5): 1101-1110.
[3]	Yunxia Chen, Zhiguo Zeng, and Rui Kang. Validation methodology for distribution-based degradation model [J]. Journal of Systems Engineering and Electronics, 2012, 23(4): 553-559.