in this study, detection and identification of common faults in industrial gas turbines is investigated. we propose a model-based robust fault detection(fd) method based on multiple models. for residual generation a bank of local linear neuro-fuzzy (llnf) models is used. moreover, in fault detection step, a passive approach based on adaptive threshold is employed. to achieve this purpose, the a...

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...

Background: Escherichia coli (Gram-negative bacilli) inflicts large economic losses on the poultry industry and is one of most important causes diseases. The indiscriminate use antibiotics has contributed to today’s increasing prevalence drug-resistant strains, which their emergence appears exceed discovery new drugs. Therefore, several attempts have been dedicated find compounds as effective a...

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...