This paper addresses the design of an observer-based fault diagnosis scheme, which is applied to some of the sensors and actuators of a wind turbine benchmark model. The methodology is based on a modified sliding mode observer (SMO) that allows accurate reconstruction of multiple sensor or actuator faults occurring simultaneously. The faults are reconstructed using the equivalent output err...

For a typical MIMO (Multiple-Input Multiple-Output) nonlinear dynamic system, fault detection and isolation usually aim at process faults with an assumption that actuator faults and sensor faults do not occur at the same time, which is not always the case. This paper uses Extended State Observer for real-time process fault detection and fuzzy inference for fault isolation. It then investigates ...

Since Field programmable gate arrays (FPGAs) are reprogrammable, faults in them can be easily toleruted once fault sites are located. Previous researches on diagnosis of FPGAs mainly deal with faulty logic block. In this paper we present a method for the testing and diagnosis of faults in the interconnect structures of FPGAs. A predefined set of tests that can locate all single faults and many ...

Multiple coupled circuit modeling (MCCM) of squirrel-cage induction motors (SCIMs), or winding function approach is the most detailed and complete analytical model used to analyze the performance of faulty SCIMs. Already, in variate papers this approach was used to 3phases SCIMs, but this paper extends the above-mentioned model to 6phases SCIMs. Various simulations of variative faults are carri...

this paper presents the hardware simulation (based on vhdl code) of a multiple-fault tolerant cellular genetic algorithm. this study aims to increase the immunity of cellular genetic algorithm in multiple-fault situation. here, multiple-fault refers to the situation that seu (single event upset) occurs simultaneously at two or more bits of the chromosome and fitness registers. the fault model i...

Lots of diagnosis approaches proposed in the literature are based in the assumption of single faults. This assumption may result to erroneous diagnosis statement in case where multiple faults occurs. Thus multiple fault diagnosis is a challenging field particularly in the control of large scale complex systems that can be viewed as hybrid systems. The main reason is that multiple faults are har...

Defect inspection is required for process control and to enhance chip yield. Electrical measurements at test structures are commonly used to detect faults. To improve the accuracy to evaluate the defects that have caused such faults, this paper presents a strategy to analyze single and multiple faults to precisely determine the number, layer and location of randomly distributed defects within a...

This work is concerned with multiple faults isolation for hybrid systems based on Global Analytical Redundancy Relationships (GARRs) approach. GARRs are derived from the Hybrid Bond Graph (HBG) model of a hybrid system with a specified causality assignment procedure. In this article, multiple faults are considered in a complex hybrid system and these faults can develop during a mode when the fa...

Multiple fault diagnosis is a difficult problem for dynamic systems. Due to fault masking, compensation, and relative time of fault occurrence, multiple faults can manifest in many different ways as observable fault signature sequences. This decreases diagnosability of multiple faults, and therefore leads to a loss in effectiveness of the fault isolation step. We develop a qualitative, event-ba...