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本文叙述实用条件对航空电子设备可靠性影响的广泛研究成果。这项研究的两个主要目的是:验明影响美国空军航空电子设备可靠性的重要系数;研制数学模型——把这些系数同实验(Rp)、要求(Rr)及实战实用条件(RF)可靠性结果联系起来。这里以美国五个空军指挥部便用的十种飞机上用的十六种不同航空电子设备(五十二种可用设备)的实验、实用特性规律作为本项研究的数据资料。本项研究所涉及的众多设备都曾在两种或更多种飞机上用过。这样做的目的是便于衡量、比较不同飞机上同种设备以及不同基地飞机上同种设备间的性能差别。研究中。我们收集、分析了各种设备的可靠性数据,并将这些数据同实战实用条件系数作以比较。结果表明,差别是由反差系数(何为故障?何为时基?)和实用条件系数的组合。我们在装在战斗机、截击机、重型炸机和运输机上的设备以及装在同型不同飞机上的同种设备之间观测了实用条件可靠性的重要差别。电子设备维修费用的检查表明,在所有维修工作中。大约有百分之三十九是花费在设备接口及其连带的硬件项目上。因而,这便使航空电子设备附加维修处理的启停周期受到影响。本文包括,推荐更为一致的可靠性估算方法和面向用户的可靠性及维修特性的测量方法。本文给出了作实验,预测可靠性用的估计航空电子设备实战实用可靠性的数学模型和实用条件影响的结果。
This article describes a wide range of research results on the impact of practical conditions on avionics reliability. The two main objectives of this study are to: (a) Identify significant coefficients that affect the reliability of the USAF avionics; (b) Develop mathematical models that will be reliable with Rp, Rr, and Practical Practical Conditions (RF) Sexual results linked. The experimental and practical characteristics and laws of the 16 different avionics (52 available devices) used on ten airplanes used by the five U.S. Air Force commands are used as data for this study. Many of the equipment involved in this study has been used on two or more aircraft. The purpose of this is to facilitate the measurement and comparison of performance differences between the same equipment on different aircraft and between the same equipment on different base aircraft. researching. We collected and analyzed the reliability data for various devices and compared these data with actual combat utility coefficients. The results show that the difference is caused by the combination of the coefficient of contrast (what is the fault? What time base?) And the practical condition coefficients. We observed important differences in the reliability of utility conditions between equipment installed on fighter jets, interceptor aircraft, heavy bombers and transport aircraft, and the same equipment housed on the same type of aircraft. Inspection of the cost of repairing electronic equipment indicates that during all repairs. About 39% is spent on the device interface and its associated hardware projects. As a result, this affects the start-up and shut-down cycle for additional maintenance of avionics. This article includes recommendations for a more consistent method of estimating reliability and user-oriented measures of reliability and serviceability. In this paper, we present the results of mathematical models and practical conditions for estimating practical avionics reliability of avionics for experiments and prediction reliability.