Biswas Santosh, Sarkar Dipankar, Bhowal Prodip, Mukhopadhyay Siddhartha
Department of Computer Science and Engineering, IIT Kharagpur, India.
ISA Trans. 2007 Oct;46(4):569-82. doi: 10.1016/j.isatra.2007.03.002. Epub 2007 Jun 7.
In this paper a method for fault detection and diagnosis (FDD) of real time systems has been developed. A modeling framework termed as real time discrete event system (RTDES) model is presented and a mechanism for FDD of the same has been developed. The use of RTDES framework for FDD is an extension of the works reported in the discrete event system (DES) literature, which are based on finite state machines (FSM). FDD of RTDES models are suited for real time systems because of their capability of representing timing faults leading to failures in terms of erroneous delays and deadlines, which FSM-based ones cannot address. The concept of measurement restriction of variables is introduced for RTDES and the consequent equivalence of states and indistinguishability of transitions have been characterized. Faults are modeled in terms of an unmeasurable condition variable in the state map. Diagnosability is defined and the procedure of constructing a diagnoser is provided. A checkable property of the diagnoser is shown to be a necessary and sufficient condition for diagnosability. The methodology is illustrated with an example of a hydraulic cylinder.
本文开发了一种用于实时系统故障检测与诊断(FDD)的方法。提出了一种称为实时离散事件系统(RTDES)模型的建模框架,并开发了针对该模型的FDD机制。将RTDES框架用于FDD是对离散事件系统(DES)文献中基于有限状态机(FSM)的相关工作的扩展。RTDES模型的FDD适用于实时系统,因为它们能够以错误延迟和截止期限来表示导致故障的定时故障,而基于FSM的模型无法解决这些问题。为RTDES引入了变量测量限制的概念,并对状态的等效性和转换的不可区分性进行了表征。故障通过状态图中不可测量的条件变量进行建模。定义了可诊断性并提供了构建诊断器的过程。诊断器的一个可检查属性被证明是可诊断性的充要条件。通过一个液压缸的例子对该方法进行了说明。