Fault tree analysis is a well-known method for reliability and safety assessment of engineering systems. In the last 3 decades, a number of methods have been introduced, in the literature, for automatic construction of fault trees. The main difference between these methods is the starting model from which the tree is constructed. This paper presents a new methodology for the construction of sta...

In this paper we study the use of precomputed fault dictionaries to diagnose stuck-at and bridging defects in the UltraSPARC-I processor. In constructing the dictionary we analyze the e ect of the dictionary format on parameters such as memory size, computational e ort, and diagnostic resolution. The dictionary is built based on modeled stuck-at faults. However to e ectively diagnose both stuck...

Many approaches have been developed to detect and diagnose the different types of faults that may occur in a complex process. Most of these approaches have traditionally been based on linear modeling techniques, which restricts the type of practical situations that can be modeled. Recently, many learning based non linear modeling using neural and other on-line approximation models have been dev...

ABSTRACT Motor current signature analysis has been successfully used for fault diagnosis in induction motors. However, this method does not always achieve good results when the speed or the load torque is not constant, because this cause variation on the motor slip and fast Fourier transform problems appear due to non-stationary signal. This paper experimentally describes the effects of rotor b...

In this paper, a novel direct self-repairing controller via quantum information technique and nonlinear fault observer is designed, which addresses tracking control and convergence rate problem of a helicopter. First, a nonlinear fault observer is designed to diagnose the helicopter’s fault. Next, in order to improve the convergence rate and stabilization of the helicopter system, an exponentia...

The detection of broken rotor bars in three-phase squirrel cage induction motors by means of current signature analysis is presented. In order to diagnose faults, a Neural Network approach is used. At first the data of different rotor faults are achieved. The effects of different rotor faults on current spectrum, in comparison with other fault conditions, are investigated via calculating Power ...

Youngkyu Park et al. 555 This paper proposes a test algorithm that can detect and diagnose all the faults occurring in dual-port memories that can be accessed simultaneously through two ports. In this paper, we develop a new diagnosis algorithm that classifies faults in detail when they are detected while the test process is being developed. The algorithm is particularly efficient because it us...

Fault tolerance in cloud computing platforms and applications is a crucial issue. This issue is especially difficult since cloud computing relies by nature on a complex splitting into many layers. This paper analyses the implementation of fault tolerance in such a complex cloud computing environment with a focus on FCFS and SJF along with MPIL method with fault tolerance property. The proposed ...

The internal faults of transformer can be identified by various techniques. The proposed technique is by the analysis of no-load current and harmonic contents present in it. The no-load current of transformer is non-sinusoidal for sinusoidal input voltage. And hence it contains harmonics in healthy condition of transformer. But if transformer has any internal fault then the no-load current magn...

Water pipe network is installed underground and once equipped, it is difficult to recognize the state of pipes when the leak or burst happens. Accordingly, post management is often delayed after the fault occurs. Therefore, the systematic fault management system of water pipe network is required to prevent the accident and minimize the loss. In this work, we develop online fault detection syste...