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.

Fault location in EHV transmission lines using artificial neural networks

Abstract: This paper deals with the application of artificial neural networks (ANNs) to fault detection and location in extra high voltage (EHV) transmission lines for high speed protection using terminal line data. The proposed neural fault detector and locator were trained using various sets of data available from a selected power network model and simulating different fault scenarios (fault types, fault locations, fault resistances and fault inception angles) and different power system data (source capacities, source voltages, source angles, time constants of the sources). Three fault locators are proposed and a comparative study of the proposed fault locators is carried out in order to determine which ANN fault locator structure leads to the best performance. The results show that artificial neural networks offer the possibility to be used for on-line fault detection and location in transmission lines and give satisfactory results.

A New Approach for Current Sensor Fault Diagnosis in PMSG Drives for Wind Energy Conversion Systems

Abstract: Fault diagnosis is a mandatory feature in fault-tolerant systems, since it provides the information necessary for the fault isolation and system reconfiguration. Recently, permanent-magnet synchronous generator (PMSG) drives have achieved prominence in wind energy conversion systems (WECSs), due to their reliability and availability. In this paper, a new approach is proposed for current sensor fault diagnosis in PMSG drives for WECSs. As opposed to the conventional state-observer-based methods for current sensor faults, which require a system model and the respective parameters, the proposed diagnostic method uses the measured phase currents only. Thus, its main merits are simplicity and reliability in the diagnosis, making it suitable for real-time implementation and to trigger remedial procedures. In addition, current sensor and open-circuit faults can be distinguished, and the affected phase is effectively identified in both cases. The proposed diagnostic technique is applied to the two power converters of a conventional back-to-back topology, and its performance is analyzed by means of several experimental results.

Delay test generation. I. Concepts and coverage metrics

Abstract: An approach to test for delay faults is presented. A variable size delay fault model is used to represent these failures. The nominal gate delays with the manufacturing tolerances are an integral part of the model and are used in the propagation of simplified waveforms through the logic network. The faulty waveforms are functions of the variable-size delay fault. For each fault and test pattern, a threshold is computed such that this fault is detected if its size exceeds epsilon . This threshold is used (along with the minimum slack at the fault site) to determine a metric called quality. The quality of detection for a fault measures how close the test came to exposing the ideally smallest-size fault at that point. This metric (together with the traditional fault coverage) gives a complete measure of the goodness of the test. >

Method and system for diagnosis and analysis of products troubles

Abstract: A computer-implemented method and system for diagnosing and system for diagnosing and analyzing fault information of a product is carried out by (a) creating a fault tree representing causal relations between faults and causes thereof base on information of past faults and information concerning the structure and characteristics of the product, and storing the fault tree in a storage unit, the fault tree having branches allocated with weighting coefficients; (b) inputting new fault information of the product into the computer; (c) searching the fault tree in accordance with the weighting coefficients based on the fault information stored in the storage unit to thereby determine the cause of the fault; (d) generating and outputting information concerning an adjustment or repair of the product suffering from the fault based on the determined cause of the fault as well as the information concerning the structure and the characteristics of the product; (e) supplying information concerning the timing of the occurrence of the fault, symptoms appearing in the fault, the cause of the fault and the adjustment and repair data to a host computer through a data collecting station to thereby construct a database for the fault information; and (f) the quality of the product based on all or a part of information of the database