Study on Multi-Parameters Storage Life Prediction Method for Aerospace Relay in Accelerated Degradation

doi:10.11985/2017.01.004

Abstract

Abstract:

Aerospace relay, is widely used in the field of national defense, aerospace industry, and others. Therefore, in order to improve the reliability of the aerospace relay, it is of great significance to study its storage life. At present, researches based on performance degradation data are mostly confined to the single characteristic parameters. However, many products have multiple performance degradation parameters. On account of the multiple performance parameters of aerospace relay, the degradation distance analysis method is proposed in this paper, principal component analysis (PCA) is also introduced into this analysis method to fuse multiple characteristic parameters, and weighting factors of parameters are given. In this paper, the aerospace relay contact resistance R_j, pick-up time T_x, release voltage U_s are selected as life prediction parameters, and the relay storage life can be predicted with the help of the above method , which is also verified to be accurate by other data acquired in the experiment.

Key words: Life prediction, degradation distance, multiple characteristic parameters, principal component analysis

CLC Number:

V442
TM5

Li Wenhua,Shen Peigen,Ma Sining. Study on Multi-Parameters Storage Life Prediction Method for Aerospace Relay in Accelerated Degradation[J]. Journal of Electrical Engineering, 2017, 12(1): 22-27.

Figures/Tables 6

Tab.1

Fig.1

Tab.2

Tab.3

Fig.2

Tab.4

References 12

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周数	接触电阻R_j/mΩ	吸合时间T_x/ms	释放电压U_s/V
1	8.31	5.09	4.50
2	8.34	5.68	4.21
3	8.66	5.82	4.13
4	8.65	5.74	4.29
5	8.23	5.76	4.15
6	8.87	6.33	4.23
7	8.56	5.81	4.10
8	8.33	5.86	4.11
9	8.62	5.82	4.09
10	8.63	6.78	4.04
11	8.93	5.97	4.06
12	8.66	5.92	4.13
13	9.04	5.70	4.06
14	8.70	5.85	4.06
15	9.07	5.90	4.25
16	8.86	5.71	4.18
17	8.88	5.86	4.33
18	8.91	5.96	4.13
19	8.74	5.85	4.28
20	9.08	6.02	4.21
21	9.00	5.91	4.23
22	8.99	5.91	4.05
23	9.20	5.82	3.96
24	9.50	5.95	3.97

主元	特征根	贡献率(%)
Y₁	1.10×10^-2	97.52
Y₂	2.57×10^-4	2.28
Y₃	2.16×10^-5	0.20

周数	主元参数距离	周数	主元参数距离
1	1.373	13	1.052
2	1.192	14	1.073
3	1.161	15	1.087
4	1.076	16	1.075
5	1.063	17	1.086
6	1.059	18	1.077
7	1.045	19	1.068
8	0.981	20	1.051
9	0.993	21	1.051
10	0.988	22	0.949
11	0.994	23	0.881
12	0.991	24	0.850

周数	主元参数距离
周数	3#	5#	8#	13#
1	1.367	1.451	1.453	1.324
2	1.212	1.340	1.366	1.240
3	1.135	1.224	1.336	1.212
4	1.097	1.157	1.288	1.166
5	1.094	1.134	1.272	1.151
6	1.092	1.134	1.259	1.141
7	1.091	1.139	1.253	1.137
9	1.075	1.129	1.221	1.109
10	1.067	1.117	1.214	1.105
11	1.054	1.105	1.216	1.108
12	1.046	1.098	1.203	1.098
13	1.045	1.094	1.221	1.117
14	1.030	1.092	1.220	1.119
15	1.024	1.088	1.214	1.115
16	1.010	1.082	1.198	1.101
17	1.008	1.074	1.192	1.098
18	1.006	1.067	1.186	1.094
19	0.996	1.063	1.176	1.086
20	0.994	1.063	1.170	1.082
21	0.991	1.062	1.163	1.077
22	0.982	1.052	1.149	1.065
23	0.978	1.030	1.136	1.054
24	0.988	1.018	1.114	1.035

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