远程供应基地综合冗余通信设备的技术恢复模型

Y. Ryzhov, L. Sakovych, O. Khodych
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引用次数: 2

摘要

通信系统朝着提高通信质量指标的方向发展,导致产品的复杂性与可靠性的提高不相结合。尽管技术诊断取得了成功,但缺陷定位的持续时间与故障的消除(诊断需要平均恢复时间的80%)之间存在相关性。由于偏远供应基地的部队和手段有限,在维修、不断修理和消除故障损坏期间提供恢复通信工作能力的必要时间变得复杂。由于通信技术电路的复杂性,提高诊断支持的紧迫性增加了。提出了考虑构造和电路构造特点的通信技术技术条件确定和通信技术恢复过程模型。其科学新颖之处在于首次考虑了各类通信技术冗余对其恢复参数值和测量仪器可靠性的复杂影响。模型不同于已知的模型,因为复杂的方法不仅允许考虑恢复的条件,而且允许考虑通信技术固有的所有类型的冗余。我们评估了诊断支持的质量指标,包括正确诊断的概率和在评估测试结果时存在专家错误时拒绝诊断的真实值的数学期望。在修复上述方法的同时,我们也考虑了真实的假设和局限性,扩展了单个和群体缺陷搜索算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MODEL OF TECHNOLOGICAL RECOVERY OF COMMUNICATION EQUIPMENT DURING THE USE OF ITS INTEGRATED REDUNDANCY FOR REMOTED SUPPLY BASES
The communication system develops in the direction of improvement of communication quality indicators, causing the corresponding complication of products that is not conjugated with the improvement of their reliability. Despite the successes of the technical diagnostics, the correlation between the duration of defect localization and the elimination of the failure (for diagnostics it takes up to 80% of the average recovery time) is observed. Provision the necessary time of restoring the working capacity of communications during their maintenance, ongoing repair and elimination of faulty damage are complicated by the limited forces and means for remote supply bases. The urgency of improving diagnostic support is increased due to the complexity of circuitry of communication technology. The model of the process of determining the technical condition and the restoration of communication technology, which takes into account the specific features of constructive and circuit construction, is proposed. The scientific novelty lies in the fact that the complex influence of all types of communication technology redundancy on values of their restoration parameters as well as reliability of measuring instruments are taken into account for the first time. Model differs from the known ones since complex approach permits to consider not only the conditions of recovery, but all types of redundancy, inherent in communication technology. We have assessed the quality indicators of diagnostic support that include the probability of correct diagnosis and mathematical expectation of the rejection of the diagnosis from the true value if there exist the specialist error in evaluating the test results. We have also considered the real assumptions and limitations while repairing the mentioned means, expansion of algorithms of single and group defects search.
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