Flotation Process Fault Diagnosis Via Structural Analysis

Fault Diagnosis utilizing Structural Analysis

When designing model-based fault-diagnosis systems, the use of consistency relations (also called e.g. parity relations) is a common choice. Different subsets are sensitive to different subsets of faults, and thereby isolation can be achieved. This paper presents an algorithm for finding a small set of submodels that can be used to derive consistency relations with highest possible diagnosis ca...

Structural analysis for fault diagnosis of models with constraints

Structural analysis is a standard tool to identify submodels that can be used to design model based diagnostic tests. Structural approaches typically operate on models described by a set of equations. This work extends such methods to be able to handle models with constraints, e.g. inequality constraints on state variables. The objective is to improve isolability properties of a diagnosis syste...

A Robust Discriminate Analysis Method for Process Fault Diagnosis

A robust Fisher discriminant analysis (FDA) strategy is proposed for process fault diagnosis. The performance of FDA based fault diagnosis procedures could deteriorate with the violation of the assumptions made during conventional FDA. The consequence is a reduction in accuracy of the model and efficiency of the method, with the increase of the rate of misclassification. In the proposed approac...

Fault Diagnosis in Analog Circuits via Symbolic Analysis Techniques

Structural Abstraction for Strong Fault Models Diagnosis

Cones are a special form of structural abstraction that were shown to be very effective in speeding up model-based diagnosis (MBD) algorithms. Past work, either explicitly or implicitly, assumed a weak fault-model (WFM), where only the proper behavior of the system is specified. In many cases, some information is known about how faulty components behave, and thus a more informed strong fault-mo...