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Fault diagnostics of dynamic system operation using a fault tree based method

机译:基于故障树的方法对动态系统运行进行故障诊断

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For conventional systems, their availability can be considerably improved by reducing the time taken to restore the system to the working state when faults occur. Fault identification can be a significant proportion of the time taken in the repair process. Having diagnosed the problem the restoration of the system back to its fully functioning condition can then take place. This paper expands the capability of previous approaches to fault detection and identification using fault trees for application to dynamically changing systems. The technique has two phases. The first phase is modelling and preparation carried out offline. This gathers information on the effects that sub-system failure will have on the system performance. Causes of the sub-system failures are developed in the form of fault trees. The second phase is application. Sensors are installed on the system to provide information about current system performance from which the potential causes can be deduced. A simple system example is used to demonstrate the features of the method. To illustrate the potential for the method to deal with additional system complexity and redundancy, a section from an aircraft fuel system is used. A discussion of the results is provided.
机译:对于常规系统,可以通过减少发生故障时将系统恢复到工作状态所花费的时间来显着提高其可用性。故障识别可能是修复过程中所花费时间的很大一部分。诊断出问题后,便可以将系统恢复到其完全运行的状态。本文利用故障树扩展了先前的故障检测和识别方法的能力,以应用于动态变化的系统。该技术分为两个阶段。第一阶段是离线进行建模和准备。这将收集有关子系统故障将对系统性能产生影响的信息。子系统故障的原因以故障树的形式出现。第二阶段是应用程序。传感器安装在系统上,以提供有关当前系统性能的信息,从中可以推断出潜在原因。一个简单的系统示例用于演示该方法的功能。为了说明该方法处理额外的系统复杂性和冗余的潜力,使用了飞机燃油系统的一部分。提供了对结果的讨论。

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