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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.


Papers
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Journal ArticleDOI
TL;DR: The results of simulations in CarSim and vehicle experimental tests show the effectiveness of the proposed active fault-tolerant control system in dealing with certain IWM faults.
Abstract: An active fault-tolerant control (AFTC) system is proposed in this paper for electric vehicles with independently driven in-wheel motors (IWMs). It comprises a baseline controller, a set of reconfigurable controllers, a fault detection and diagnosis (FDD) mechanism, and a decision mechanism. The baseline controller, which is actually a passive fault-tolerant controller, is applied to accommodate actuator faults and stabilize the faulty vehicle when the actuator fault occurs. After the fault is detected and estimated by the FDD mechanism, a proper reconfigurable controller is switched ON to achieve optimal postfault performance. Taking advantage of the robust gain-scheduling algorithm, the loss-of-effectiveness and additive faults of the IWMs can be accommodated by the baseline controller, and the estimation error of the FDD mechanism can be tolerated by the reconfigurable controllers. The results of simulations in CarSim and vehicle experimental tests show the effectiveness of this AFTC system in dealing with certain IWM faults.

99 citations

Journal ArticleDOI
TL;DR: In this article, an accurate fault location algorithm for series compensated power transmission lines is presented, which makes use of two subroutines for estimation of the fault distance-one for faults behind the series capacitors and another one for faults in front of the series capacitor.
Abstract: In this paper, an accurate fault location algorithm for series compensated power transmission lines is presented. A distributed time domain model is used for modeling of the transmission lines. The algorithm makes use of two subroutines for estimation of the fault distance-one for faults behind the series capacitors and another one for faults in front of the series capacitors. Then a special procedure to select the correct solution is utilized. Samples of voltages and currents at both ends of the line are taken synchronously and used to calculate the location of the fault. The proposed algorithm is independent of fault resistance and does not require any knowledge of source impedance. The proposed method has been tested using the EMTP/ATP model of a 100 kV, 300 km transmission line, which is compensated, by a three-phase capacitor bank in the middle. The results of computer simulation confirm the accuracy of the proposed method.

98 citations

Journal ArticleDOI
Abramovici1, Menon
TL;DR: This approach is based on extending fault simulation and test generation for stuck faults to cover bridging faults as well, and shows that adequate bridging fault coverage can be obtained in most cases without using sequences of vectors.
Abstract: In this correspondence we prepent a practical approach to fault simulation and test generation for bridging faults in combinational circuits. Unlike previous work, we consider Unrestricted bridging faults, including those that introduce feedback. Our approach is based on extending fault simulation and test generation for stuck faults to cover bridging faults as well. We consider combinational testing only, and show that adequate bridging fault coverage can be obtained in most cases without using sequences of vectors.

98 citations

Journal ArticleDOI
TL;DR: This paper introduces a novel method for single and simultaneous fault location in distribution networks by means of a sparse representation (SR) vector, Fuzzy-clustering, and machine-learning.
Abstract: This paper introduces a novel method for single and simultaneous fault location in distribution networks by means of a sparse representation (SR) vector, Fuzzy-clustering, and machine-learning. The method requires few smart meters along the primary feeders to measure the pre- and during-fault voltages. The voltage sag values for the measured buses produce a vector whose dimension is less than the number of buses in the system. By concatenating the corresponding rows of the bus impedance matrix, an underdetermined set of equation is formed and is used to recover the fault current vector. Since the current vector ideally contains few nonzero values corresponding to fault currents at the faulted points, it is a sparse vector which can be determined by $\ell^{{{1}}}$ -norm minimization. Because the number of nonzero values in the estimated current vector often exceeds the number of fault points, we analyze the nonzero values by Fuzzy-c mean to estimate four possible faults. Furthermore, the nonzero values are processed by a new machine learning method based on the k-nearest neighborhood technique to estimate a single fault location. The performance of our algorithms is validated by their implementation on a real distribution network with noisy and noise-free measurement.

98 citations

Journal ArticleDOI
TL;DR: In this paper, a two-terminal traveling-wave-based fault-location algorithm is proposed, which does not require the data from both line terminals to be synchronized and is applied in real time.
Abstract: In this paper, a new two-terminal traveling-wave-based fault-location algorithm is proposed. Its main advantage over similar two-terminal algorithms lies in the fact it does not require the data from both line terminals to be synchronized. In order to do so, the algorithm is applied in real time, and a communication system is used, whose data-transmission latency is taken into account in the proposed formulation. The fault locator routines were implemented using the real-time digital simulator (RTDS), such that a wide variety of fault scenarios in a 230-kV transmission line 200 km long was evaluated in real time, considering communication systems with different latency variability levels. The obtained results indicate the proposed algorithm is able to locate faults using either synchronized or unsynchronized two-terminal data, whereas classical methods work properly for synchronized measurements only.

98 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202381
2022215
202127
202061
2019116
2018160