Fault tolerance property of artificial neural networks has been investigated with reference to the hardware model of artificial neural networks. Weight fault is an important link, which causes breakup between two nodes. In this paper weight fault has been explained. Experiments have been performed for Weight-stuck-0 fault. Effect of weight-stuck-0 fault on trained network has been analyzed in t...

Active fault isolation of parametric faults in closed-loop MIMO systems are considered in this paper. The fault isolation consists of two steps. The first step is groupwise fault isolation. Here, a group of faults is isolated from other possible faults in the system. The group-wise fault isolation is based directly on the input/output signals applied for the fault detection. It is guaranteed th...

Different fault reasoning techniques are used in fault localization for either deterministic or probabilistic fault causality model. Symptom-Fault map is commonly used to describe Symptom-Fault causality in fault reasoning. However lost and spurious symptoms severely affect both performance and accuracy of fault reasoning. In this paper, we propose an extended Symptom-Fault-Action model to inco...

A fault-tolerant wormhole routing algorithm on meshconnected processors is proposed. The proposed algorithm is based on the solid fault model and allows the fault polygons to be overlapped. The algorithm compares the position of fault region relative to current channel with the fault direction eld of a misrouted message to route around overlapped fault polygons. A node deactivating algorithm to...

The main objective of this study is estimating acceleration time history of 16 September 1978 Tabas earthquake incorporating the seismological/geological source-path and site model parameters by using finite-fault simulation approach. The method generalizes the stochastic ground-motion simulation technique, developed for point sources, to the case of finite faults. It subdivides the fault plane...

Symmetrical nature of mean of electrical signals during normal operating conditions is used in the fault detection task for dependable, robust, and simple fault detector implementation is presented in this work. Every fourth cycle of the instantaneous current signal, the mean is computed and carried into the next cycle to discover nonlinearities in the signal. A fault detection task is complete...

this paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. in the proposed scheme, flux linkage analysis is used to reach a decision. probabilistic neural network (pnn) and discrete wavelet transform (dwt) are used in design of fault diagnosis system. pnn as main part of thi...

as technology scales deep into the nanometer regime, on-chip communication becomes more susceptible to transient noise sources, such as crosstalk, external radiation, and spurious voltage spikes. the network on chip s modularity and reusability has brought about the use of error control methods to address transient errors in network on chip links.in this work, we design a fault tolerance router...