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Operation Reliability and Diagnostics of Mechanical Systems via RDISApplication

机译:通过RDISApplication进行机械系统的运行可靠性和诊断

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This paper deals with the use of an information system for the reliability and diagnostics ofrncomplex mechanical systems. It includes a theoretical analysis of relations and interconnection of failuresrnof these systems, providing thus simple but sufficient data (type, rate, failure time distribution andrnoperating mode). It deals in more detail with a correlation of simultaneous failures with the use of arnmultinonic model. The basic theory is reflected in an example, in which failure of plain bearings in a smallrnset of internal combustion engines (2 sets consisting of 7 engines in a laboratory and in routine operation)rnwere studied and 11 fatigue mechanisms (adhesion, abrasion, erosion, fatigue, vibration, cavitation, mix ofrnthe above-mentioned mechanisms, peeling off bearing surface layers, corrosion, change of geometricrnshape and production, technology and assembly inaccuracies) where 35 basic diagnostic features ofrnfailures were discovered. Correlation analysis provided to find important relations between the features ofrnfailures (in total, 4 important features in relation to the number of hours worked) and to use them as basicrndiagnostic parameters in operation.
机译:本文讨论了信息系统在复杂机械系统的可靠性和诊断中的应用。它包括对这些系统故障之间的关系和互连的理论分析,从而提供了简单但足够的数据(类型,速率,故障时间分布和故障模式)。它使用arnmultinonic模型更详细地探讨了同时发生故障的相关性。在一个示例中反映了基本理论,其中研究了一台小型内燃机(2组,其中包括在实验室和常规运行中的7台发动机)中的滑动轴承的故障,并研究了11种疲劳机理(附着力,磨损,腐蚀,疲劳,振动,气蚀,上述机制的混合,轴承表面层的剥落,腐蚀,几何形状和生产的变化,技术和装配的不准确性),其中发现了35个故障的基本诊断特征。提供了相关分析,以发现故障特征之间的重要关系(总共有4个与工作小时数相关的重要特征),并将它们用作操作中的基本诊断参数。

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