Bond Graph Model-based Qualitative FDI

Abstract

Most of the early approaches for fault diagnosis and isolation were rule based. Such approaches use simple prediction rules to provide possible faults in a system and their causes. These methods suffer from incompleteness and inflexibility. Recent fault diagnosis methods are based on analysis of the underlying model structures and behavior of a system. Models serve as knowledge representation of a large amount of structural, functional and behavioral information and their relationship [8, 16, 50, 93, 139, 197, 198, 237, 239]. This knowledge representation is used to create complex cause-effect reasoning leading to construction of powerful and robust automatic diagnosis and isolation systems [2, 76, 98, 99, 114, 115, 261, 267].