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Design and implementation of an automatic on-line diagnosis with TiDiaM and TiDE

机译:用潮汐和潮汐自动在线诊断的设计与实现

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The paper deals with the diagnostics of industrial automation devices and in particular with the real-time fault isolation. A diagnostic model-based method is proposed with the aim to isolate the occurrences of faults in automatic machinery simplifying the synthesis of the diagnostic models and the application of the developed technique to real cases. The theoretical foundation lays on the diagnoser automaton, which is suitably extended with time and with special modeling techniques that make it suitable for real-time execution rather than off-line test of the diagnosability. The model here adopted is called TiDiaM (Timed Diagnostic Model) for which automatic synthesis algorithms and a Java real-time executor (TiDE, Timed Diagnosis Executor) are proposed. The approach has been applied to a test case (the subsystem of an automatic machining centre called Pallet changer) in order to demonstrate its real-time applicability to an industrial example.
机译:本文涉及工业自动化设备的诊断,特别是实时故障隔离。提出了一种基于诊断模型的方法,目的是在自动机械中隔离故障的发生,简化了诊断模型的合成以及开发技术对实际情况的应用。理论基础奠定了诊断器自动机,其适当随时间延伸,具有特殊的建模技术,使其适用于实时执行而不是诊断性的离线测试。这里采用的模型被称为TIDIAM(定时诊断模型),用于提出自动合成算法和Java实时执行器(潮汐,定时诊断执行器)。该方法已应用于测试用例(自动加工中心的子系统称为托盘换阀),以证明其对工业例子的实时适用性。

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