Modular fault diagnosis based on discrete event systems for a mixer chemical process

The knowledge of failure type and their location is an indispensable requirement for the establishment of tasks of adequate recovery strategies and maintenance of both factory automation and process control systems. The failure diagnosis methodology presented in the paper is based on discrete event systems models and on the diagnosers concept, those which permit the analysis off-line and online of diagnosability of failures that can occur in the processes. We present an approach for models and associated diagnosers based on a modular decomposition of the global system, with the purpose of avoiding the problems of the exponential explosion of the number of states and of the computational complexity of the diagnosis process.