融合设计与试验信息的弹上产品贮存寿命评估方法

doi:10.12305/j.issn.1001-506X.2026.03.14

Abstract

Abstract:

Storage life evaluation of missile-borne products do not fully utilize design information, and failure criteria do not directly reflect the failure mechanisms during the depletion phase. Conducting an in-depth study on storage life evaluation under multi-parameter coupling while considering these issues is of great significance. In regard to this, a storage life evaluation method for evaluating the storage life of missile-borne products by integrating multiple sources of design and experimental information is proposed. Firstly, a storage life characterization index is established using failure rate as the lifespan criterion, the influencing factors of storage life is analyzed, and the sources of design and test information is clarified. Secondly, based on the generalized stress-strength interference model, a product failure rate model is constructed that comprehensively considers the discreteness of design parameters, the randomness of storage conditions, and the degradation of performance parameters. Thirdly, the failure rate model is generalized to a multi-parameter scenario using the Copula function. Given a failure rate threshold, the storage life is estimated through genetic algorithm. Finally, taking a control amplifier as an example, the effectiveness of the proposed method is verified. The analysis shows that the proposed method effectively solves the problem of design parameters being unrelated to storage life indicators, providing strong support for the positive design and accurate evaluation of storage life.

Key words: missile-borne product, failure rate model, design information, testing information, storage life evaluation, Copula function

CLC Number:

TB 114.3

Shengpeng ZHANG, Shuo HUANG, Ruyuan XU, Xiaobing MA. Storage life evaluation method for missile-borne products integrating information from design and testing[J]. Systems Engineering and Electronics, 2026, 48(3): 872-882.

Figures/Tables 19

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序号	相对退化量$\Delta y $/%	判定结果
1	$ \text{0 <} \; \Delta y \; \text{< 5} $	无退化
2	$5 \% \lt \Delta y \lt 10 $	轻微退化
3	$ \Delta y \; \text{>10} $	严重退化

信息来源	内容
贮存寿命试验信息	贮存寿命关键性能参数长期贮存随时间的退化信息，包括退化规律、激活能、加速因子等
贮存寿命设计信息	贮存寿命关键性能参数及其离散型性、相对于其设计边界的裕量、所承受的环境载荷测量值及其随机性

序号	参数	参数代号	技术要求/mA	相对退化量/%
1	III舵输出电流（+）	8	−10±0.15	11.00
2	III舵输出电流（−）	7	10±0.25	9.80
3	I舵输出电流（−）	6	−10±0.25	9.47
4	I舵输出电流（+）	21	10±0.25	9.40
5	IV舵输出电流（−）	10	−10±0.25	9.00
6	IV舵输出电流（+）	3	10±0.25	8.53

序号	参数	参数代号	技术要求/mA	相对退化量/%
1	II舵输出电流（−）	2	10±0.25	12.40
2	III舵输出电流（+）	8	−10±0.25	10.73
3	IV舵输出电流（+）	16	−10±0.25	8.20
4	V舵输出电流（+）	4	−10±0.25	7.08
5	V舵输出电流（−）	11	10±0.25	9.92
6	IV舵输出电流（−）	1	10±0.25	7.83

序号	参数	技术要求/mA	贮存试验后相对退化量/%
1	Ⅲ舵输出电流（+）	−10±0.15	11.00
2	Ⅱ舵输出电流（−）	10±0.25	12.40

Storage life evaluation method for missile-borne products integrating information from design and testing

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Copula 函数名称	AIC准则	BIC准则	优度	$ \theta $参数估计
Frank	0.422 1	1.600 2	2	1.863 9
Gumbel	−2.059 8	−0.881 7	1	1.473 8
Clayton	12.065 2	13.243 3	3	0.224 9

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