This paper addresses the problem of fault detection and isolation of wind turbines using a mixed Bayesian/Setmembership approach. Modeling errors are assumed to be unknown but bounded, following the set-membership approach. On the other hand, measurement noise is also assumed to be bounded, but following a statistical distribution inside the bounds. To avoid false alarms, the fault detection pr...

The problem of fault detection and isolation (FDI) is addressed for nonlinear dynamic systems modeled by polynomial diierential-algebraic equations. Ritt's algorithm is used to obtain an input-output representation of the monitored system by eliminating unknown variables. A local approach to change detection is then applied to the input-output representation for FDI residual generation and eval...

When a fault occurs in a system, the main problem to be addressed is to raise an alarm, ideally diagnose what fault has occurred, and then decide how to deal with it. The problem of detecting a fault, finding the source/location and then taking appropriate action is the basis of fault tolerant control. In this chapter, an introduction to fault tolerant control (FTC) and fault detection and isol...

When a fault occurs in a system, the main problem to be addressed is to raise an alarm, ideally diagnose what fault has occurred, and then decide how to deal with it. The problem of detecting a fault, finding the source/location and then taking appropriate action is the basis of fault tolerant control. In this chapter, an introduction to fault tolerant control (FTC) and fault detection and isol...

The use of autonomous helicopters in civilian applications requires the improvement of safety conditions to avoid potential accidents. Fault detection and isolation (FDI) plays an important role in this context. This paper presents an actuator and sensor FDI system for small autonomous helicopters. Fault detection is accomplished by evaluating any significant change in the behaviour of the vehi...

The use of autonomous helicopters in civilian applications requires the improvement of safety conditions to avoid potential accidents. Fault detection and isolation (FDI) plays an important role in this context. This paper presents an actuator and sensor FDI system for small autonomous helicopters. Fault detection is accomplished by evaluating any significant change in the behaviour of the vehi...

Fault detection, fault isolation and fault diagnosis are addressed within a statistical framework. The corresponding inference problems are stated. Several statistical tools for solving these inference problems are described. Particular emphasis is put on dealing with nuisance parameters and deciding between multiple hypotheses. How to use these tools for solving FDI problems is discussed. An e...

Fault detection and isolation (FDI) is a task to deduce from observed variable of the system if any component is faulty, to locate the faulty components and also to estimate the fault magnitude present in the system. This paper provides a systematic method of fault diagnosis to detect leak in the three-tank process. The proposed scheme makes use of structured residual approach for detection, is...

Fault detection and isolation (FDI) is a task to deduce from observed variable of the system if any component is faulty, to locate the faulty components and also to estimate the fault magnitude present in the system. This paper provides a systematic method of fault diagnosis to detect leak in the three-tank process. The proposed scheme makes use of structured residual approach for detection, is...

This paper investigates data-driven fault detection and isolation (FDI) designs for a wind turbine benchmark problem. The benchmark is described by a SimuLink model, which contains nonlinear lookup tables and unknown wind disturbances. Based on classical FDI design methods, a linearization of the SimuLink model into a standard state-space form and describing the linearization errors as perturba...