Incipient faults usually emerge from partial discharges which eventually cause insulation degradation between two insulated cable cores. Early detection of incipient faults is of particular importance because insulation defects caused by incipient faults may lead to permanent faults in underground distribution networks. This paper presents a novel approach using S-transform and support vector r...

A new observer based fault detection and diagnosis scheme for predicting induction motors’ faults is proposed in this paper. Prediction of incipient faults, using different variants of Kalman filter and their relative performance are evaluated. Only soft faults are considered for this work. The data generation, filter convergence issues, hypothesis testing and residue estimates are addressed. S...

Motorcycles generate dissimilar sound patterns under different working conditions. Generally, the experienced mechanics in authorized service stations take test rides to hear the sounds produced to diagnose the faults. The presented work attempts to locate the faults in motorcycles based on the sound. The features are extracted using pseudospectra of sound signals. Integration is performed for ...

The switched reluctance motor (SRM) has inherently high level of fault tolerance. However despite of its high robustness and reliability it can face windings and bearings faults. The faults can cause costly downtimes in industrial environment, or they can bring about more severe consequences in safety critical applications. Therefore the detection of the faults in their incipient phase and the ...

In this paper, we propose a new model-based approach for the fault diagnosis of hybrid dynamic systems (HDS), in particular discretely controlled continuous system (DCCS). The goal is to construct a diagnosis module (called diagnoser) able to diagnose parametric and discrete faults. Parametric faults are characterized by abnormal changes in some system parameters whereas discrete faults are att...

In this paper, an adaptive two-stage linear Kalman filtering algorithm (Wu, Zhang, and Zhou, 2000) is used to estimate the loss of control effectiveness and the magnitude of low degree of stuck faults in a closed-loop nonlinear B747 aircraft. Control effectiveness factors and stuck magnitudes are used to quantify faults entering control systems through actuators. Pseudo random excitation inputs...

Faults and damage in oil-filled power transformers has a devastating effect on the overall reliability of electrical power systems. Several factors, especially electrical and thermal stresses age the transformer and subject them to incipient faults. These faults, if left undetected will cause deterioration and eventually lead to failure of the transformer [1]. The presence of faults such as arc...

Enhancingcurrentmulticomputer routers for fault-tolerant routing with modest increase in routing complexity and resource requirements is addressed. The proposed method handles solid faults in meshes, which includes all convex faults and many practical nonconvex faults, for example, faults in the shape of L or T. As examples of the proposed method, adaptive andnonadaptive fault-tolerant routing ...

The analysis of linked faults has proven to be a source for new memory tests, characterized by an increased fault coverage. The paper gives a set of five new tests to target all possible linked faults. The tests are merged into a single test, March SL, detecting all faults in the linked fault space. The preliminary test results of an experiment done at Intel will be reported; they show that Mar...