Techniques for diagnosing faults in hybrid systems that combine digital (discrete)
supervisory controllers with analog (continuous) plants need to be different from those used …

Physical systems are by nature continuous, but often display nonlinear behaviors that make
them hard to analyze. Typically, these nonlinearities occur at a time scale that is much …

Recently, a bond-graph-based fault detection and isolation (FDI) framework has been
developed with a new concept of global analytical redundancy relations (GARRs)(Low …

Physical system behavior follows the general principles of conservation of energy and
continuity of power, but may exhibit nonlinearities that result from small, parasitic effects, or …

In this paper, online fault detection and isolation (FDI) of multiple faults for a hybrid
dynamical system based on partly decentralized model-based diagnosis architecture is …

This paper presents a model-based fault diagnosis and prognosis scheme for a vehicle
steering system. The steering system is modeled as a hybrid system with continuous …

Modelling of switching systems using bond graph is a research issue. There have been
many proposals in this context. However, there are many issues that need consideration …

Bond graph (BG) is an effective tool for modeling complex systems and it has been proven
useful for fault detection and isolation (FDI) for continuous systems. BG provides the causal …

This research result consists of two parts: one is general theory on causality assignment for
hybrid bond graph (HBG) and another is application of this concept to the quantitative fault …

Early detection and isolation of faults in wind power generators increases the availability of
wind turbines and reduces their down times and maintenance costs. Wind turbines …