基于数据融合的航电设备故障检出率评估方法

Taohua Ma, Chengyu Ju, Hongjiao Wu
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引用次数: 0

摘要

装备的可测试性作为武器装备的一种设计特性,与可靠性、维修性、安全性、保障性具有同等重要的地位,是武器装备质量特性的重要组成部分。目前,由于飞行试验阶段可测试性样本不足,影响了评估结果的准确性。因此,本文提出采用数据融合的方法对内外部现场数据进行综合处理和分析,给出了航电设备的可测试性水平,对后续可测试性指标的制定具有一定的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation Method of Fault Detection Rate of Avionics Equipment Based on Data Fusion
As a design characteristic of weapon equipment, the testability of equipment has the same important position as reliability, maintainability, safety and supportability, and is an important component of the quality characteristics of weapon equipment. At present, the accuracy of evaluation results is affected due to insufficient testability samples in the flight test stage. Therefore, this paper proposes to use the data fusion method to comprehensively process and analyze the internal and external field data, The level of testability of avionics equipment is given, which has certain significance for guiding the subsequent development of testability indicators.
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