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Fault root cause tracing of complicated equipment based on fault graph

机译:基于故障图的复杂设备故障根本原因跟踪

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摘要

Fault root causes tracing of complicated equipment in modern process industry is very important for accident and economic loss prevention. Due to the structure complexity of complicated equipment, failures happen from small parts and propagate through complex pathways often leading to serious system faults. These kind of faults caused by non-critical parts account for a large part of all the faults of complicated equipment and often cannot get enough attention in fault diagnosis. In order to trace the root causes of this kind of fault, the failure dependent relationship and fault propagation mode must be modeled accurately and effectively. Fault graph proposed by H. P. Alesso is a useful tool to represent complex structure and fault propagation pathway of complicated equipment with a special kind of fault-oriented directed graph expanded from fault tree. Fault graph takes advantage of graph rather than tree to describe complex relation between failure modes of components, and uses logic connectives to connect failure modes with logical relationship. Based on the basic concept of fault graph introduced by H. P. Alesso, this article focuses on the issues of fault graph constructing and fault graph fault root causes deducing. A fault graph constructing method was firstly discussed which uses the results of failure mode and effects analysis and the mathematical tool of polychromatic matrix and can be easily performed with the least manual work. Then the fault root causes deducing method of fault graph was investigated which focuses on fault graph reachability calculation and fault propagation pathway searching. The fault graph reachability calculation is put forward from doubletons to multiple root causes so that the reachabiltiy of any steps of fault graph pathway can be calculated. The fault propagation pathway searching method can be performed to reveal the detailed fault propagation pathway. A case study of fault graph modeling and fault root causes analysis based on fault graph of a certain type of centrifugal compressor which has complex internal structure is introduced. The case study shows that the proposed method is effective for fault root cause tracing of complicated equipment.
机译:在现代过程工业中,故障根源的追踪对复杂设备的跟踪对于预防事故和经济损失非常重要。由于复杂设备的结构复杂性,故障会从很小的部分发生,并通过复杂的路径传播,通常会导致严重的系统故障。由非关键部件引起的这类故障占复杂设备所有故障的很大一部分,并且在故障诊断中往往不能引起足够的重视。为了跟踪此类故障的根本原因,必须准确有效地建模故障相关关系和故障传播模式。 H. P. Alesso提出的故障图是一种有用的工具,它通过从故障树扩展出的一种特殊的面向故障的有向图来表示复杂设备的复杂结构和故障传播路径。故障图利用图而不是树来描述组件故障模式之间的复杂关系,并使用逻辑连接词将故障模式与逻辑关系连接起来。基于H. P. Alesso提出的故障图的基本概念,本文着重于故障图构造和故障图故障根本原因的推导问题。首先讨论了一种故障图构造方法,该方法利用故障模式和效果分析的结果以及多色矩阵的数学工具,可以以最少的人工工作轻松地进行。然后研究了故障图的根本原因推导方法,重点是故障图可达性计算和故障传播路径搜索。提出了故障图可达性的计算方法,从双峰到多个根本原因,从而可以计算出故障图路径任何步骤的可达性。可以执行故障传播路径搜索方法以揭示详细的故障传播路径。介绍了一种基于内部结构复杂的离心压缩机故障图的故障图建模和故障根源分析的案例研究。实例研究表明,该方法对复杂设备的故障根本原因跟踪有效。

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