This paper reviews the state of the art in fault detection and isolation for dynamic systems,
based on the parity space concept. Some important definitions are provided and tutorial …

The robustness issues in model-based fault detection and fault isolation (fault diagnosis)
have received considerable attention in recent years, due to the increasing demand for safe …

There is an increasing demand for dynamic systems to become more safe and reliable. This
requirement extends beyond the normally accepted safety-critical systems of nuclear …

With increasing demands for efficiency and product quality plus progress in the integration of
automatic control systems in high-cost mechatronic and safety-critical processes, the field of …

This paper considers the application of a particular sliding mode observer to the problem of
fault detection and isolation. The novelty lies in the application of the equivalent output …

Fault detection filters are a special class of observers that can generate directional residuals
for the purpose of fault isolation. This paper proposes a new approach to design robust (in …

This paper studies the observer-based fault detection and isolation problem with an
emphasis on robustness and applications. After introducing some basic definitions, the …

This paper presents a robust fault diagnosis scheme for abrupt and incipient faults in
nonlinear uncertain dynamic systems. A detection and approximation estimator is used for …

This paper describes a method for designing sliding mode observers for detection and
reconstruction of actuator and sensor faults, that is robust against system uncertainty. The …

In this paper, a bank of Kalman filters is applied to aircraft gas turbine engine sensor and
actuator fault detection and isolation (FDI) in conjunction with the detection of component …