Improving Fault Isolability Properties by Structural Analysis of Faulty Behavior Models: Application to the Damadics Benchmark Problem
نویسندگان
چکیده
Structural analysis is a powerful tool for early determination of detectability/isolability possibilities. It is shown how different levels of knowledge about faults can be incorporated in a structural fault-isolability analysis and how they result in different isolability properties. The results are evaluated on the DAMADICS valve benchmark model. It is also shown how to determine which faults in the benchmark that need further modeling to get desired isolability properties of the diagnosis system.
منابع مشابه
VisualBlock-FIR for Fault Detection and Identification: Application to the DAMADICS Benchmark Problem
This paper describes a fault diagnosis system (FDS) for non-linear plants based on fuzzy logic. The proposed scheme, named VisualBlock-FIR, runs under the Simulink framework and enables early fault detection and identification. During fault detection, the FDS should recognize that the plant behavior is abnormal, and therefore, that the plant is not working properly. During fault identification,...
متن کاملComparison of interval models and quantised systems in fault detection with application to the DAMADICS actuator benchmark problem
Model-based fault detection relies on checking the discrepancy between the measurements obtained from a monitored process and its model. In general, the model representing the process behaviour has substantial uncertainties. In this contribution, two fault detection methods that explicitly take the modelling uncertainties into account are presented and compared. The first approach uses the inte...
متن کاملApplication of Timed Automata to the Diagnosis of the DAMADICS Benchmark Problem
The paper describes a design method of a diagnostic algorithm for detecting and identifying faults that occur in the discrete–event systems described by timed automata. The timed automata used for diagnosis do not only incorporate only the corresponding states and transitions into normal operation behaviour of the systems but also additional states and transitions representing the faulty behavi...
متن کاملFault Detection and Diagnosis in the DAMADICS Benchmark Actuator System – A Hidden Markov Model Approach
Early fault detection and diagnosis in chemical process monitoring represents a challenge to be overcome. Another one concerns the spatial overlapping problem among distinct fault classes, once some events may only be distinguished from the others by taking into account its order of occurrence. The hidden Markov model (HMM) technique is capable of providing information about the tendency of the...
متن کاملFault Diagnosis Based on Neural Networks and Decision Trees: Application to Damadics
This paper presents a new technique of fault detection and isolation (FDI). This technique is based on Neural Networks fault-free and Faulty behaviors Models (NNF Ms). NNFMs are used for residual generation, while decision trees are introduced for residual selection and evaluation. Each part of the tree corresponds to specific residuals and with the decision tree it becomes possible to take the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003