  Hybrid Bond Graph (HBG) is a Bond Graph-based modelling approach which
provides an effective tool not only for dynamic modeling but also for fault
detection and isolation (FDI) of switching systems. Bond graph (BG) has been
proven useful for FDI for continuous systems. In addition, BG provides the
causal relations between systems variables which allow FDI algorithms to be
developed systematically from the graph. There are many methods that exploit
structural relations and functional redundancy in the system model to find
efficient solutions for the residual generation and residual evaluation steps
in FDI of switching systems. This paper describes two different techniques,
quantitative and qualitative, based on common modelling approach that employs
HBG. In quantitative approach, global analytical redundancy relationships
(GARRs) are derived from the HBG model with a specified causality assignment
procedure. GARRs describe the system behaviour at all of its operating modes.
In qualitative approach, functional redundancy can be captured by a Temporal
Causal Graph (TCG), a directed graph that may include temporal information
