一种基于贝叶斯推理的指数分量存储效果评价方法

Jing Li, Xiaojun Zhu, Hua Li
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引用次数: 1

摘要

针对鱼雷、水雷、导弹等武器长期贮存后的可靠性问题,分析了目前难以准确确定装备贮存寿命的现实困境,指出部件的贮存寿命对装备的贮存寿命至关重要。为此,提出了一种估算指数成分贮存寿命分布参数的方法,并利用实际贮存期的试验结果对贮存效果进行准确评价。通过实例设计和大量仿真验证结果表明,所提出的估计方法取得了令人满意的结果,克服了传统存储测试需要大量样本的缺点,具有很高的实际应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method for Exponential Component Storage Effect Evaluation Based on Bayesian Inference
With regard to the reliability of weapons after long-term storage including torpedoes, mines and missiles, this paper analyzes the practical dilemma that it is difficult to accurately determine the storage life of equipment at present, and points out that the storage life of components is crucial to the storage life of equipment. For this reason, a method is proposed to estimate the storage life distribution parameters of exponential component and then accurately evaluate the storage effect by utilizing the test results during the actual storage period. As revealed in the example design and numerous results of simulation verification, this proposed estimation method brings satisfying results, and overcomes the shortcoming of conventional storage test in its demand for a large number of samples, so it is of very high value for practical application.
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