This paper presents a proactive maintenance scheme for fault detection, diagnosis and prediction in electrical valves. The proposed scheme is validated with a case study, considering a specific valve used for controlling the oil flow in a distribution network. The scheme is based in self-organizing maps, which perform fault detection and diagnosis, and temporal self-organizing maps for fault pr...

In this technical report, the problem of Simultaneous Fault Detection and Control (SFDC) is considered. This problem is reduced to a multiobjective optimization problem. We show that there exists a fundamental separation theorem allowing us to seperate this multiobjective problem into a control problem and a fault detection problem. Moreover, the SFDC problem is modeled in terms of a mixed opti...

Model-Based Fault Detection and Identification for Power Electronics Systems by Jason Poon Master of Science in Electrical Engineering and Computer Sciences University of California, Berkeley Professor Seth R. Sanders, Chair We present the analysis, design, and experimental implementation of a model-based fault detection and identification (FDI) method for switching power converters based on a ...

Testing and design for testability are critical steps in the process of building reliable electronic circuits. This dissertation contributes t o improving the quality of d e l a y faul t t e s t ing: testing for manufacturing faults that result in delays beyond circuit specifications. It highlights the importance of considering electrical phenomena when developing techniques for identifying del...

This work deals with the comparison between calculations and measurements of pre-arcing times in High Breaking Capacity fuses under typical fault current conditions. This paper also describes the temperature evolution and the Joule energy dissipated in a fuse element during the pre-arcing time. By varying typical electrical parameters, namely the closing angle and the power factor, we show that...

Keerthi Heragu Michael L. Bushnell Vishwani D. Agrawal Dept. of Electrical & Computer Eng. Dept. of Electrical & Computer Eng. AT&T Bell Labs Rutgers University Rutgers University 600 Mountain Avenue Piscataway, NJ 08855-0909 Piscataway, NJ 08855-0909 Murray Hill, NJ 07974 [email protected] [email protected] [email protected] Abstract|We propose a linear complexity method to est...

In a normal electrical network, it is crucial to design a system complete with protection to prevent any abnormalities or fault occurrence to disturb the whole source of electrical to be shut down. Only a portion of effected area should be closed and fault duration at high current value should be closely monitored. Overcurrent protection device discrimination play vital roles to ensure protecti...

The first step in automatic supervision, condition monitoring and fault detection of photovoltaic system is recognition, exploration and classification of all possible faults that maybe happen in the system. This paper aims to perceive, classified, simulate and discus all electrical faults in DC side of photovoltaic system, regarding electrical voltage and current inspections. For that, simplif...

In this paper first a current predictive method for single open-phase fault detection in a three phase drive with a permanent magnet synchronous machine is presented. The proposed method is based on a predictive stator current calculation. For each sampling interval the difference between the actual stator current and its predicted value in a previous sampling interval is calculated. To identif...