About: Stuck-at fault is a(n) research topic. Over the lifetime, 9707 publication(s) have been published within this topic receiving 160254 citation(s).
Papers published on a yearly basis
01 Jun 2004-Annual Reviews in Control
TL;DR: In this article, the authors present a short introduction to the field and show some applications for an actuator, a passenger car, and a combustion engine, as well as other types of systems.
Abstract: For the improvement of reliability, safety and efficiency advanced methods of supervision, fault-detection and fault diagnosis become increasingly important for many technical processes. This holds especially for safety related processes like aircraft, trains, automobiles, power plants and chemical plants. The classical approaches are limit or trend checking of some measurable output variables. Because they do not give a deeper insight and usually do not allow a fault diagnosis, model-based methods of fault-detection were developed by using input and output signals and applying dynamic process models. These methods are based, e.g., on parameter estimation, parity equations or state observers. Also signal model approaches were developed. The goal is to generate several symptoms indicating the difference between nominal and faulty status. Based on different symptoms fault diagnosis procedures follow, determining the fault by applying classification or inference methods. This contribution gives a short introduction into the field and shows some applications for an actuator, a passenger car and a combustion engine.
01 Apr 2000-Automatica
TL;DR: This paper considers the application of a particular sliding mode observer to the problem of fault detection and isolation using the equivalent output injection concept to explicitly reconstruct fault signals.
Abstract: 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 injection concept to explicitly reconstruct fault signals. Previous work in the area of fault detection using sliding mode observers has used disruption of the sliding motion to detect faults. A design procedure is described and nonlinear simulation results are presented to demonstrate the approach.
TL;DR: A differential geometric approach to the problem of fault detection and isolation for nonlinear systems derived in terms of an unobservability distribution, which is computable by means of suitable algorithms.
Abstract: We present a differential geometric approach to the problem of fault detection and isolation for nonlinear systems. A necessary condition for the problem to be solvable is derived in terms of an unobservability distribution, which is computable by means of suitable algorithms. The existence and regularity of such a distribution implies the existence of changes of coordinates in the state and in the output space which induce an "observable" quotient subsystem unaffected by all fault signals but one. For this subsystem, a fault detection filter is designed.
01 Jan 1985
TL;DR: A procedure is described which identifies paths which are tested for path faults by a set of patterns, independent of the delays of any individual gate of the network, which is a global delay fault model.
Abstract: Delay testing of combinational logic in a clocked environment is analyzed. A model based upon paths is introduced for delay faults. Any path with a total delay exceeding the clock interval is called a "path fault." This is a global delay fault model because it is associated with an entire path. The more familiar slow-to-rise or slow-to-fall gate delay fault, on the other hand, is a local fault model. A procedure is described which identifies paths which are tested for path faults by a set of patterns. It does not involve delay simulation. The paths so identified are tested for path faults independent of the delays of any individual gate of the network.
TL;DR: In this article, the authors proposed a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties.
Abstract: 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 the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties. This is done by combining the unknown input observer and fault detection filter principles. The paper proposes a new full-order unknown input observer, and gives necessary and sufficient conditions for its existence. After the disturbance de-coupling conditions are satisfied, the remaining design freedom can be used to make the residual have the directional property, based on the fault detection filter principle. A nonlinear jet engine system is used to illustrate the robust fault isolation approach presented. It is shown that linearization errors can be approximately treated as unknown disturbances and be de-coupled in the design of a robust fault detect...
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