|We propose a linear complexity method to estimate robust path delay fault coverage in digital circuits. We adopt a path counting scheme for a true-value simulator that uses ags for each signal line. These ags determine the new path delay faults detected by the simulated vector pair. Experimental results are presented to show the e ectiveness of the method in estimating path delay fault coverage.

To estimate the fault dimension of an earthquake in real time, we present a methodology to classify seismic records into near-source or far-source records. Characteristics of ground motion, such as peak ground acceleration, have a strong correlation with the distance from a fault rupture for large earthquakes. This study analyzes peak ground motions and finds the function that best classifies n...

Faults of photovoltaic systems often result in an energy drop and therefore decrease the efficiency of the system. Detecting and analyzing faults is thus an important problem in the analysis of photovoltaic systems data. We consider the problem of estimating the starting time and end time of a fault, i.e. we want to locate the fault in time series data. We assume to know the power output, plane...

This paper presents an intelligent fault diagnostic approach for a steer-by-wire (SBW) system. A rough set model is utilized to reduce the redundant information. On the base of the reduction, the classifying rules can be extracted. A radical basis function (RBF) neural network optimized by particle swarm optimization (PSO) algorithm is designed to learn the fault rules that are extracted from t...

In this paper, we propose an off-the-grid compressive sensing based method to detect brokenbar fault in squirrel-cage induction motors. To validate our method, we first build a dynamic model of squirrel-cage induction motor using multi-loop equivalent circuit to simulate motor current under fault conditions. We then develop an off-the-grid compressive sensing algorithm to extract the fault char...

This paper describes an approach to diagnosis of systems described by qualitative diierential equations represented as Qsim models. An implemented system Qdocs is described that performs multiple-fault, fault-model based diagnosis , using constraint satisfaction techniques , of qualitative behaviors of systems described by such models. We demonstrate the utility of this system by accurately dia...

Concurrent fault detection plays a vital role in hardware implementation in order to prevent losing the original message This paper explores the new low-cost fault detection scheme for the S-box/ InvS-box of AES using a parity prediction technique. The predicted block was divided into seven blocks, to compare between the actual parity output and the predicted parity output results in the error ...

This paper is concerned with the application of Kalman filter based methods for Fault Detection and Identification (FDI). The original Kalman based method, formulated for bias faults only, is extended for three more fault types, namely the actuator or sensor being stuck, sticky or drifting. To benchmark the proposed method, a nonlinear buffer tank system is simulated as well as its linearized v...

It has been usual to consider that the steps of program refinement start with a program specification and end with the production of the text of an executable program. But for fault-tolerance, the program must be capable of taking account of the failure modes of the particular architecture on which it is to be executed. In this thesis we shall develop a formal framework which shows how a progra...

Gear and bearing faults are the main causes of gearbox failure. Till now, incipient fault diagnosis of these two components has been a problem and needs further research. In this context, it is found that Lucy–Richardson deconvolution (LRD) proved to be an excellent tool to enhance fault diagnosis in rolling element bearings and gears. LRD’s good identification capabilities of fault frequencies...