Although traditional fault diagnosis methods can qualitatively identify the failure modes for power equipment, it is difficult to evaluate the failure probability quantitatively. In this paper, a failure probability calculation method for power equipment based on multi-characteristic parameters is proposed. After collecting the historical data of different fault characteristic parameters, the d...

Deformation and focused fluid flow within a mineralized system are critical in the genesis of hydrothermal ore deposits. Dilation and integrated fluid flux due to coupled deformation and fluid flow in simple strike–slip fault geometries were examined using finite difference analysis in three dimensions. A series of generic fault bend and fault jog geometries consistent with those seen in the we...

This paper presents a discrete wavelet transform and neural network approach to fault detection and classification in transmission lines. The detection and classification is carried out by using energy of the detail coefficients of the phase signals, used as input to neural network to classify the faults on transmission lines. Neural network perform well when faced with different fault conditio...

This paper presents a discrete wavelet transform and neural network approach to fault detection and classification in transmission line faults. The detection is carried out by the analysis of the details coefficients energy of the phase signals, and as an input to neural network to classify the faults on transmission lines. Neural network perform well when faced with different fault conditions ...

We have extended our work in [1] and this paper investigates combinatorial properties of circulant networks including best containers, wide diameter, fault diameter and Rabin number. These properties have received much attention recently in the study of interconnection networks. In addition to these parameters we introduce fault wide diameter and study this parameter for circulant networks.

Abstract. This paper presents a fault detection and isolation algorithm applied to the monitoring of DC Motor parameters. Fault Detection and Isolation (FDI) schemes are implemented as real-time algorithms whose inputs are plant output observations. They are basically used for a) fault detection: to decide whether the plant is in a normal operating condition or in a faulty one and b) fault isol...

A finite element method with constrained elements and Lagrange multipliers is used to study tectonic faults in a viscous medium. A fault, representing the interface between overriding and subducting plates, has been incorporated into a viscous flow model of a subduction zone in which both thermal buoyancy and the buoyancy associated with the phase change from olivine to spinel are included. The...

Fault diagnosis for numerical control machine is more difficult than that for other mechanical equipments due to its structural complexity and the coupling feature among different faults. In order to improve the accuracy and reliability of fault diagnosis for numerical control machine, an intelligent fault diagnosis model is studied. Besides the traditional method that multiple sensors are moun...

Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring. Vibration signals from a defective bearing with a localized fault contain a series of impulsive responses, which result from the impacts of the defective part(s) with other elements. Most researches carried out have focused on fault...

A new method of diagnosis of single faults of passive elements in analog electronic circuits, based on the node-voltage relation approach, is presented. This method consists of two parts: creation of a fault dictionary describing the nominal state of the tested circuit and containing indirect parameters representing respective faults, and a new fault detection and localization algorithm.