Fault indicator

About: Fault indicator is a research topic. Over the lifetime, 10057 publications have been published within this topic receiving 143482 citations. The topic is also known as: FCI & power line fault indicator.

Functional memory faults: a formal notation and a taxonomy

Abstract: This paper presents a notation for describing functional fault models, which may occur in memory devices. Using this notation, the space of all possible memory faults has been constructed. It has been shown that this space is infinite, and contains the currently established fault models. New fault models in this space have been identified and verified using resistive and capacitive defect injection and simulation of a DRAM model.

Global Fault-Tolerant Control Technique for Multiphase Permanent-Magnet Machines

Abstract: In this paper, a global fault-tolerant control (FTC) technique is proposed for multiphase permanent-magnet (PM) machine drives. The goal of the proposed FTC is to find a general closed-form solution for healthy phase currents under steady-state postfault conditions. Healthy phase currents are found through an optimization problem to produce ripple-free output torque with minimum ohmic losses. A comprehensive FTC approach should be able to provide fault-tolerant currents for multiphase machines with any number of phases. In addition, it needs to find currents based on fault type (open-circuit/short-circuit), fault locations [phase(s) and/or line(s)], connection of stator windings, and even different control objectives. An important feature of the proposed method is its flexibility and simplicity in dealing with all possible fault conditions. The proposed method is a great tool to evaluate fault-tolerant capability of different drive systems in terms of maximum available ripple-free torque and copper losses. Due to its simplicity and flexibility, it is also well-suited for real-time implementation. A five-phase PM machine is used as an example to investigate the validity of the proposed solutions through finite-element analysis and experimental tests.

Building management system with fault analysis

Abstract: A controller for a building management system is configured to analyze faults in the building management system. The controller detects a fault in the building management system by evaluating data of building management system using a system of rules. The controller determines a conditional probability for each of a plurality of possible fault causes given the detected fault. The controller determines the most likely fault cause by comparing the determined probabilities and electronically reports the most likely fault cause.

Transmission/distribution line fault indicator with remote polling and current sensing and reporting capability

Abstract: The present invention includes a fault indicator (12) for an electrical transmission line (10) comprising: a fault indicator circuit; and a remote communicator operatively coupled to the fault indicator circuit to transmit condition data to a remote location (14), where such condition data includes current load data. The invention also includes a method of monitoring and responding to current faults and load variations across an electrical transmission network (16), the method comprising: insulating two fault indicators (12) in electrical communication with an electrical transmission network (16) and including two-way communication capability: generating, by the two fault directors (12), condition data specific to a respective location of each of the two fault indicators (12), where such condition data includes current load data; transmitting the condition data from the two fault indicators (12) to a remote location (18); receiving, at the remote location (18), the condition data transmitted from the two fault indicators (12); and, monitoring and processing the condition data received.

Fault Detection for Photovoltaic Systems Based on Multi-Resolution Signal Decomposition and Fuzzy Inference Systems

Abstract: This paper presents a detection scheme for DC side short-circuit faults of photovoltaic (PV) arrays that consist of multiple PV panels connected in a series/parallel configuration. Such faults are nearly undetectable under low irradiance conditions, particularly, when a maximum power point tracking algorithm is in-service. If remain undetected, these faults can considerably lower the output energy of solar systems, damage the panels, and potentially cause fire hazards. The proposed fault detection scheme is based on a pattern recognition approach that employs a multiresolution signal decomposition technique to extract the necessary features, based on which a fuzzy inference system determines if a fault has occurred. The presented case studies (both simulation and experimental) demonstrate the effective and reliable performance of the proposed method in detecting PV array faults.