Relevant bibliographies by topics / Fault location (engineering)

Academic literature on the topic 'Fault location (engineering)'

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Published: 4 June 2021
Last updated: 27 July 2024

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Journal articles on the topic "Fault location (engineering)"

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Forouzesh, Alireza, Mohammad S. Golsorkhi, Mehdi Savaghebi, and Mehdi Baharizadeh. "Support Vector Machine Based Fault Location Identification in Microgrids Using Interharmonic Injection." Energies 14, no. 8 (April 20, 2021): 2317. http://dx.doi.org/10.3390/en14082317.

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This paper proposes an algorithm for detection and identification of the location of short circuit faults in islanded AC microgrids (MGs) with meshed topology. Considering the low level of fault current and dependency of the current angle on the control strategies, the legacy overcurrent protection schemes are not effective in in islanded MGs. To overcome this issue, the proposed algorithm detects faults based on the rms voltages of the distributed energy resources (DERs) by means of support vector machine classifiers. Upon detection of a fault, the DER which is electrically closest to the fault injects three interharmonic currents. The faulty zone is identified by comparing the magnitude of the interharmonic currents flowing through each zone. Then, the second DER connected to the faulty zone injects distinctive interharmonic currents and the resulting interharmonic voltages are measured at the terminal of each of these DERs. Using the interharmonic voltages as its features, a multi-class support vector machine identifies the fault location within the faulty zone. Simulations are conducted on a test MG to obtain a dataset comprising scenarios with different fault locations, varying fault impedances, and changing loads. The test results show that the proposed algorithm reliably detects the faults and the precision of fault location identification is above 90%.
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Ling, Jie, Qiu Ping Zhang, and Wan Min Huang. "Research and Implementation of Network Fault Location System Based on Event Correlation." Advanced Materials Research 756-759 (September 2013): 2410–15. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2410.

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Network fault location is the premise of fault repair. Event correlation technique is an important fault location strategy which has its own advantages, but this technique also has some defects. Automatic fault location has not been realized and it worthy further study. This paper proposes a fault location method based on event correlation and realizes a network fault location system, which uses the relationship of topological structure of network node to generate fault correlation graph and the adjacency matrix, and through the fault correlation algorithm to locate the sources of faults. At the same time, the fault data is stored in case retrieval library for next network fault location, the system improves network fault locating speed and reduces workload of network management.
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Gururajapathy, Sophi Shilpa, Hazlie Mokhlis, and Hazlee Azil Illias. "Fault location using mathematical analysis and database approach." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 1 (January 7, 2019): 415–30. http://dx.doi.org/10.1108/compel-02-2018-0077.

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PurposeThe purpose of this paper is to identify faults in distribution systems which are unavoidable because of adverse weather conditions and unexpected accidents. Hence, quick fault location is vital for continuous power supply. However, most fault location methods depend on the stored database for locating fault. The database is created by simulation, which is time consuming. Therefore, in this work, a comprehensive fault location method to detect faulty section and fault distance from one-ended bus using limited simulated data is proposed.Design/methodology/approachThe work uses voltage sag data measured at a primary substation. Support vector machine estimates the data which are not simulated. The possible faulty section is determined using matching approach and fault distance using mathematical analysis.FindingsThis work proposed a ranking analysis for multiple possible faulty sections, and the fault distance is calculated using Euclidean distance approach.Practical implicationsThe research work uses Malaysian distribution system as it represents a practical distribution system with multiple branches and limited measurement at primary substation. The work requires only metering devices to identify fault which is cost effective. In addition, the distribution system is simulated using real-time PSCAD by which the capability of proposed method can be fully tested.Originality/valueThe paper presents a new method for fault analysis. It reduces simulation time and storage space of database. The work identifies faulty section and ranks the prior faulty section. It also identifies fault distance using a mathematical approach.
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Martin, K. F., and M. Moavenian. "Failure Detection and Location Using Residual Difference Generation Detection Filters." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 210, no. 4 (November 1996): 283–90. http://dx.doi.org/10.1243/pime_proc_1996_210_467_02.

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The paper describes a theoretical investigation of failure detection using a new type of filter. The latter, called a residual difference generation detection filter, is based upon using (a) a main detection filter and (b) a faulty parameter modifier. Both of these use a reference model of the system; this is a mathematical model of the system without faults. In (a) the reference model is used in parallel with the real system in order to generate residuals (functions of differences between the real system and the reference model); in (b) the reference model is used in parallel with another mathematical model of the system which contains a known fault which again generates residuals that are a function of the known fault. By analysing these residuals while changing the known fault in (b) it is possible to detect which fault is occurring. The technique is applied to faults in a servo-motor, faults being assumed to occur singly. Tests were carried out using a mathematical model of the real system which incorporated an ‘unknown’ fault.
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FENG, Yunwen, Weihuang PAN, Cheng LU, and Jiaqi LIU. "Fault diagnosis and location of hydraulic system of domestic civil aircraft based on logic data." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 40, no. 4 (August 2022): 732–38. http://dx.doi.org/10.1051/jnwpu/20224040732.

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To study the typical fault diagnosis and fault location technology of the hydraulic system of the domestic civil aircraft, the logic data of the typical fault is constructed according to the formation conditions of the fault. The operation data of the typical fault is collected, and the Bayesian network is used to realize the fault diagnosis and fault components position. First, according to the fault formation conditions in the unit operation manual of a certain type of domestic civil aircraft, referring to the construction method of the logic data, taking the typical fault of the hydraulic system as an example, the fault logic data of the domestic civil aircraft is established to intuitively reflect the logical relationship of the fault formation; secondly, based on the constructed logic data, considering the formation conditions of the fault, a Bayesian network corresponding to the logic data is established, and the logical relationship formed by the fault is represented by the value of the conditional probability distribution; obtain quick access recorder (QAR) data and its parameter information according to the input information of the logic data; finally, according to the established Bayesian network and the obtained QAR data, apply forward reasoning to realize the diagnosis of typical faults of the hydraulic system. Under the condition of partial information, reverse reasoning is applied to locate the faulty components of hydraulic system. The research shows that the proposed method can accurately diagnose faults, and can accurately locate faulty components in complete information, and give the probability of occurrence of potentially faulty components under partial information, which can effectively assist in the location of faulty components. The research work has certain reference significance for improving the fault diagnosis function of the airborne health management system and the ground health management system of domestic civil aircraft.
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Tariq, Rizwan, Ibrahim Alhamrouni, Ateeq Ur Rehman, Rao Muhammad Asif, and Zimran Rafique. "A new algorithm for fault location in multi-end underground cables using traveling waves." International Journal of Power Electronics and Drive Systems (IJPEDS) 14, no. 2 (June 1, 2023): 1280. http://dx.doi.org/10.11591/ijpeds.v14.i2.pp1280-1289.

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<p>A quick, reliable, and accurate fault location approach is essential in underground power systems protection. Being the most optimistic research topic of electrical power systems, this article presents an optimized algorithm for fault location in multi-end underground cables using travelling waves. Existing algorithms based on wavelet theory have fewer reliability and accuracy issues that raise an error to the power systems in fault location. The proposed layout presents a multiterminal underground cables system where the entire system is segregated into several fault identification sections where this model identifies the faulty section and the faulty half. Voltage and current wave transient at the mid-point of each fault locator are taken into account to eliminate the time-synchronous error. Traveling waves models are modelled using Bewley diagrams. Detecting the first and second traveling wave transient at both ends of each cable keeps the system reliable. Extensive simulations are simulated using the alternative transient program (ATP) to discriminate, identify, and locate several faults, while the system can also validate the faults near the busbar. The model is developed in MATLAB, and the obtained results depict the proposed algorithm's higher accuracy in fault location.</p>
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Chu, Kenny Sau Kang, Kuew Wai Chew, Yoong Choon Chang, and Stella Morris. "An Open-Circuit Fault Diagnosis System Based on Neural Networks in the Inverter of Three-Phase Permanent Magnet Synchronous Motor (PMSM)." World Electric Vehicle Journal 15, no. 2 (February 16, 2024): 71. http://dx.doi.org/10.3390/wevj15020071.

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Three-phase motors find extensive applications in various industries. Open-circuit faults are a common occurrence in inverters, and the open-circuit fault diagnosis system plays a crucial role in identifying and addressing these faults to enhance the safety of motor operations. Nevertheless, the current open-circuit fault diagnosis system faces challenges in precisely detecting specific faulty switches. The proposed work presents a neural network-based open-circuit fault diagnosis system for identifying faulty power switches in inverter-driven motor systems. The system leverages trained phase-to-phase voltage data from the motor to recognize the type and location of faults in each phase with high accuracy. Employing separate neural networks for each of the three phases in a three-phase permanent magnet synchronous motor, the system achieves an outstanding overall fault detection accuracy of approximately 99.8%, with CNN and CNN-LSTM architectures demonstrating superior performance. This work makes two key contributions: (1) implementing neural networks to significantly improve the accuracy of locating faulty switches in open-circuit fault scenarios, and (2) identifying the optimal neural network architecture for effective fault diagnosis within the proposed system.
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Swetapadma, Aleena, Shobha Agarwal, Satarupa Chakrabarti, Soham Chakrabarti, Adel El-Shahat, and Almoataz Y. Abdelaziz. "Locating Faults in Thyristor-Based LCC-HVDC Transmission Lines Using Single End Measurements and Boosting Ensemble." Electronics 11, no. 2 (January 7, 2022): 186. http://dx.doi.org/10.3390/electronics11020186.

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Most of the fault location methods in high voltage direct current (HVDC) transmission lines usemethods which require signals from both ends. It will be difficult to estimate fault location if the signal recorded is not correct due to communication problems.Hence a robust method is required which can locate fault with minimum error. In this work, faults are located using boosting ensembles in HVDC transmission lines based on single terminal direct current (DC) signals. The signals are processed to obtain input features that vary with the fault distance. These input features are obtained by taking maximum of half cycle current signals after fault and minimum of half cycle voltage signals after fault from the root mean square of DC signals. The input features are input to a boosting ensemble for estimating the location of fault. Boosting ensemble method attempts to correct the errors from the previous models and find outputs by combining all models. The boosting ensemble method has been also compared with the decision tree method and thebagging-based ensemble method. Fault locations are estimated using three methods and compared to obtain an optimal method. The boosting ensemble method has better performance than all the other methods in locating the faults. It also validated varying fault resistance, smoothing reactors, boundary faults, pole to ground faults and pole to pole faults. The advantage of the method is that no communication link is needed. Another advantage is that it allowsreach setting up to 99.9% and does not exhibitthe problem of over-fitting. Another advantage is that the percentage error in locating faults is within 1% and has a low realization cost. The proposed method can be implemented in HVDC transmission lines effectively as an alternative to overcome the drawbacks of traveling wave methods.
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Tariq, Rizwan, Ibrahim Alhamrouni, Ateeq Ur Rehman, Elsayed Tag Eldin, Muhammad Shafiq, Nivin A. Ghamry, and Habib Hamam. "An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves." Energies 15, no. 17 (September 5, 2022): 6468. http://dx.doi.org/10.3390/en15176468.

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Faults in the power system affect the reliability, safety, and stability. Power-distribution systems are familiar with the different faults that can damage the overall performance of the entire system, from which they need to be effectively cleared. Underground power systems are more complex and require extra accuracy in fault detection and location for optimum fault management. Slow processing and the unavailability of a protection zone for relay coordination are concerns in fault detection and location, as these reduce the performance of power-protection systems. In this regard, this article proposes an optimized solution for a fault detection and location framework for underground cables based on a discrete wavelet transform (DWT). The proposed model supports area detection, the identification of faulty sections, and fault location. To overcome the abovementioned facts, we optimize the relay coordination for the overcurrent and timing relays. The proposed protection zone has two sequential stages for the current and time at which it optimizes the current and time settings of the connected relays through Newton–Raphson analysis (NRA). Moreover, the traveling times for the DWT are modeled, which relate to the protection zone provided by the relay coordination, and the faulty line that is identified as the relay protection is not overlapped. The model was tested for 132 kV/11 kV and 16-node networks for underground cables, and the obtained results show that the proposed model can detect and locate the cable’s faults speedily, as it detects the fault in 0.01 s, and at the accurate location. MATLAB/Simulink (DigSILENT Toolbox) is used to establish the underground network for fault location and detection.
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Gupta, Kapil. "Fault Detection System for GSS." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 2934–36. http://dx.doi.org/10.22214/ijraset.2022.44483.

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Abstract: The efficiency of power systems is largely determined by the effectiveness of the inbuilt power equipment. Monitoring transmission parameters for faults and quick isolation of the system from faults helps to improve the efficiency of the power systems reliability. Current conventional method has its own limitations due to the reliance on technical team to carrying out visual inspection in order to identify any fault. The functions of the protective systems are to detect, then classify and finally determine the location of the faulty. This project presents some techniques that helps to find, determine and diagnosing faults in GSS. This project will review the type of fault that possibly occurs in an electric power system, the type of fault detection and location technique that are available together with the protection device that can be utilized in the power system to protect the equipment from electric fault.
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Dissertations / Theses on the topic "Fault location (engineering)"

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Knezev, Maja. "Optimal fault location." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2061.

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Jamali, Sadegh. "Accurate fault location for power transmission lines." Thesis, City, University of London, 1990. http://openaccess.city.ac.uk/17425/.

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This thesis describes a new accurate fault location technique for power transmission lines. The technique is based on a distributed parameter line model which inherently accounts for line conductor asymmetry and shunt capacitance. The accuracy of the new technique is not significantly affected by fault resistance, source network configuration or line length. Also, in most cases no fault type identification is required. The new fault location technique uses the current and voltage phasors at power frequency measured at the line ends. These measurements are synchronised from a knowledge of the prefault phasor data. For a single-phase network the basic idea is to equate two equations obtained for the fault point voltage; one from the sending end phasor data and the other from the receiving end phasor data. The resultant equation is solved for the distance to fault. For multiphase systems the idea is 'generalised by using the theory of natural modes which involves the evaluation of eigenvalues and eigenvectors of the lines. In this way a multiphase system is decoupled into a number of single-phase modal circuits; each circuit can be solved for fault location. For perfectly transposed lines the eigenvalues can simply be evaluated from the sequence components and a real eigenvector matrix can be defined for all the lines. For untransposed lines the new algorithm maintains its high accuracy when assuming perfect transposition to simplify the evaluation of eigenvalues and eigenvectors. Also for double-circuit applications a circuit-by-circuit fault location, without any link between the two circuits, is possible. The test results for different fault conditions presented in this thesis show the higher accuracy in fault location achieved by the new,algorithm in comparison with the algorithms used in the best commercially available fault locators.
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Wang, Haibo, and 王海波. "Fault detection and fault-tolerant control for dynamic systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576842.

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Wang, Haibo. "Fault detection and fault-tolerant control for dynamic systems." Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B42576842.

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Ramachandran, Viswanathan. "Performance analysis of augmented shuffle exchange networks." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10062009-020250/.

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Lawson, Shannon Edward. "Distributed reconfiguration and fault diagnosis in cellular processing arrays." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06302009-040317/.

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Ghimire, Sushma. "Analysis of Fault location methods on transmission lines." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1800.

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Analysis of different types of fault is an important and complex task in a power system. Accurate fault analysis requires models that determine fault distances in a transmission line. The mathematical models accurately capture behavior of different types of faults and location in a timely manner, and prevents damaging power system from fault energy. The purpose of this thesis is to use two methods for determining fault locations and their distance to the reference end buses connected by the faulted transmission line. The two methods used in this investigation are referred to as impedance-based and traveling wave methods. To analyze both methods, various types of faults were modeled and simulated at various locations on a two-bus transmission system using EMTP program. Application and usefulness of each method is identified and presented in the thesis. It is found that Impedance-based methods are easier and more widely used than traveling-wave methods.
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Kang, Ning. "ADVANCEMENTS IN TRANSMISSION LINE FAULT LOCATION." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/69.

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In modern power transmission systems, the double-circuit line structure is increasingly adopted. However, due to the mutual coupling between the parallel lines it is quite challenging to design accurate fault location algorithms. Moreover, the widely used series compensator and its protective device introduce harmonics and non-linearities to the transmission lines, which make fault location more difficult. To tackle these problems, this dissertation is committed to developing advanced fault location methods for double-circuit and series-compensated transmission lines. Algorithms utilizing sparse measurements for pinpointing the location of short-circuit faults on double-circuit lines are proposed. By decomposing the original network into three sequence networks, the bus impedance matrix for each network with the addition of the fictitious fault bus can be formulated. It is a function of the unknown fault location. With the augmented bus impedance matrices the sequence voltage change during the fault at any bus can be expressed in terms of the corresponding sequence fault current and the transfer impedance between the fault bus and the measured bus. Resorting to VCR the superimposed sequence current at any branch can be expressed with respect to the pertaining sequence fault current and transfer impedance terms. Obeying boundary conditions of different fault types, four different classes of fault location algorithms utilizing either voltage phasors, or phase voltage magnitudes, or current phasors, or phase current magnitudes are derived. The distinguishing charactristic of the proposed method is that the data measurements need not stem from the faulted section itself. Quite satisfactory results have been obtained using EMTP simulation studies. A fault location algorithm for series-compensated transmission lines that employs two-terminal unsynchronized voltage and current measurements has been implemented. For the distinct cases that the fault occurs either on the left or on the right side of the series compensator, two subroutines are developed. In additon, the procedure to identify the correct fault location estimate is described in this work. Simulation studies carried out with Matlab SimPowerSystems show that the fault location results are very accurate.
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Jang, Yi-Feng. "On the design of reconfigurable ripple carry adders and carry save multipliers." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06162009-063006/.

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von, Euler-Chelpin Jonas. "Distribution Grid Fault Location : An Analysis of Methods for Fault Location in LV and MV Power Distribution Grids." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353710.

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Outages and power interruptions are a common and unenviable part of power distribution system operations. Growing demands on reliability in distribution systems has opened up for new technological solutions for fault location at MV and LV level in distribution systems, previously reserved for transmission systems. This report compiles and compares available methods for fault location at distribution level and maps the current fault location process at the power distribution company Ellevio, with the aim of reaching a recommendation for a new fault location scheme. The advocated method is an impedance based method motivated by its reliability, applicability and affordability. The performance and implementation procedure is evaluated through a number of case studies where the methods impact on power reliability demonstrated as well as the need for grid analysis before implementation. Fault indicators and fault current, through relay communications, was identified as key factors for a successful implementation of the method.
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Books on the topic "Fault location (engineering)"

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Transfer function techniques and fault location. Letchworth, Hertfordshire, England: Research Studies Press, 1985.

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United States. National Aeronautics and Space Administration., ed. Vapor compression distillation subsystem (VCDS) component enhancement, testing and expert fault diagnostics development: Final report, volume II. Cleveland, OH: Life Systems, Inc., 1988.

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Sanderson, Penelope Margaret. Predicting fault diagnosis performance: Why are some bugs hard to find? Urbana, Ill: Engineering Psychology Research Laboratory, Dept. of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, 1988.

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United States. National Aeronautics and Space Administration., ed. Automatic determination of fault effects on aircraft functionality: Semi-annual progress report, February 17 - August 17, 1989. [Washington, DC: National Aeronautics and Space Administration, 1990.

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J, Vachtsevanos George, ed. Intelligent fault diagnosis and prognosis for engineering systems. Hoboken, N.J: Wiley, 2006.

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Alwi, Halim. Fault Detection and Fault-Tolerant Control Using Sliding Modes. London: Springer-Verlag London Limited, 2011.

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1939-, Tzafestas S. G., Singh Madan G, and Schmidt Günther 1935-, eds. System fault diagnostics, reliability, and related knowledge-based approaches. Dordrecht: D. Reidel Pub. Co., 1987.

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L, Bailey Melvin, and Langley Research Center, eds. A vector-based failure detection and isolation algorithm for a dual fail-operational redundant strapdown inertial measurement unit. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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L, Bailey Melvin, and Langley Research Center, eds. A vector-based failure detection and isolation algorithm for a dual fail-operational redundant strapdown inertial measurement unit. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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Rolf, Isermann, Freyermuth B, and International Federation of Automatic Control., eds. Fault detection, supervision, and safety for technical processes (SAFEPROCESS '91). Oxford [England]: Published for the International Federation of Automatic Control by Pergamon Press, 1992.

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Book chapters on the topic "Fault location (engineering)"

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Li, Lili, Hao Luo, He Qi, and Feiyu Wang. "Sensor Fault Diagnosis Method of Bridge Monitoring System Based on FS-LSTM." In Advances in Frontier Research on Engineering Structures, 487–501. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8657-4_44.

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AbstractAn improved long-short-term memory neural network (FS-LSTM) fault diagnosis method is proposed based on the problems of damage false alarm, data of health monitoring system incorrect caused by sensor fault in bridge structure health monitoring system. The method is verified by simulating three-span continuous beams to install several sensors and considering the five failures of one sensor, the faults such as: constant, gain, bias, gain linearity bias, and noise. At first, several pieces of white noise data are randomly generated, and each piece of white noise data is applied as a ground pulsation excitation to the structure support, and the acceleration response of the structure at the sensor location is calculated. Simultaneously, each structural response record of each sensor adds white noise with the same signal-to-noise ratio to obtain the test value of each sensor; Secondly, in order to study the generality, except for the five types of faulty sensors in sequence, one sensor is randomly selected from each of the remaining spans, to verify whether there will be a situation where an intact sensor is misdiagnosed as a faulty sensor; Finally, the FS-LSTM network is constructed through the training set to predict the acceleration data, determine the sensor fault threshold, and compare the residual sequence with the fault threshold to diagnose whether the sensor is faulty. The case research of a three-span continuous beam shows that when the above-mentioned five types of faults occur in the sensor, the proposed method can correctly determine whether the sensor is faulty, and it will not be misdiagnosed, which can be used for daily bridge health monitoring. Furthermore, it provides a new method for the maintenance of the bridge health monitoring system.
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Deng, Chao. "Design and Implementation of Network Fault Location." In Lecture Notes in Electrical Engineering, 139–47. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4805-0_17.

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Ren, Junjian, Dingchi Sun, Yuehua Cheng, Yutan Zhou, and Ze Wang. "Spacecraft Fault Location Method Based on DSAN." In Lecture Notes in Electrical Engineering, 4266–76. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_415.

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Singh, Sunil Kumar. "Intelligent Fault Location Scheme for HVDC System." In Lecture Notes in Electrical Engineering, 245–53. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6605-7_17.

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Liu, Yongjun, Min Liu, Cheng Lin, and Kefeng Ou-yang. "A Survey of Fault Location for Distribution Systems." In Lecture Notes in Electrical Engineering, 343–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48768-6_39.

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Olszowiec, Piotr. "Earth Fault Location in It AC/DC Systems." In Lecture Notes in Electrical Engineering, 185–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29755-7_13.

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Olszowiec, Piotr. "Earth Fault Location in IT AC/DC Systems." In Lecture Notes in Electrical Engineering, 173–80. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07010-0_13.

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Pan, Jianbing, Shengjian Li, Ying Wu, Bei Cao, and Jingmin Xu. "Fault Line Selection and Location of Distribution Network Based on Fault Recording Data." In Lecture Notes in Electrical Engineering, 1625–33. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5959-4_198.

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Li, XinTong, LiWen Qin, YongZan Li, Xin Yang, and XiaoYong Yu. "Fault Location of Distribution Network Based on Stacked Autoencoder." In Lecture Notes in Electrical Engineering, 564–72. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1528-4_56.

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Wang, Tao, Haitao Dong, Mingxia Wang, Xiaoran Ma, Guihua Lin, Hai Huang, Dong Han, and Yuying Wang. "Distribution Network Fault Location and Recovery Considering Load Importance." In Lecture Notes in Electrical Engineering, 942–52. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0553-9_97.

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Conference papers on the topic "Fault location (engineering)"

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Dastoorian, Romina, Ahmad E. Elhabashy, Wenmeng Tian, Lee J. Wells, and Jaime A. Camelio. "Automated Surface Inspection Using 3D Point Cloud Data in Manufacturing: A Case Study." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6542.

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With the latest advancements in three-dimensional (3D) measurement technologies, obtaining 3D point cloud data for inspection purposes in manufacturing is becoming more common. While 3D point cloud data allows for better inspection capabilities, their analysis is typically challenging. Especially with unstructured 3D point cloud data, containing coordinates at random locations, the challenges increase with higher levels of noise and larger volumes of data. Hence, the objective of this paper is to extend the previously developed Adaptive Generalized Likelihood Ratio (AGLR) approach to handle unstructured 3D point cloud data used for automated surface defect inspection in manufacturing. More specifically, the AGLR approach was implemented in a practical case study to inspect twenty-seven samples, each with a unique fault. These faults were designed to cover an array of possible faults having three different sizes, three different magnitudes, and located in three different locations. The results show that the AGLR approach can indeed differentiate between non-faulty and a varying range of faulty surfaces while being able to pinpoint the fault location. This work also serves as a validation for the previously developed AGLR approach in a practical scenario.
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Jahanger, H. K., S. Robson, M. Haddad, and M. Sumner. "Double-ended Fault Location Method with Reduced Measurements." In Cardiff University Engineering Research Conference 2023. Cardiff University Press, 2024. http://dx.doi.org/10.18573/conf1.ai.

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The double-ended impedance-based fault location Method (DEFLM) uses the wideband frequency content of the transient generated by the fault to determine the impedance from the point of measurement to the fault. This work evaluates the use of DEFLM in integrated power system such as those in More Electric Vehicles. Two approaches have been investigated with two measurements from two terminals and with one reduced measurement. The outcomes demonstrate that the DEFLM with full measurements provide a very high accuracy of the fault location with accuracy reaches 99% assuming the two end measurements are synchronized. On the other hand, the DEFLM with reduced current measurement from loads end shows less accuracy as the fault reaches the load terminal. However, the accuracy still high and within acceptable range utilizing more cost-effective approach.
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Fedorov, Aleksey, Vladimir S. Petrov, Vladimir Naumov, and Dmitriy Arkadiev. "Traveling Wave Fault Location Reliability Improving." In 2021 International Ural Conference on Electrical Power Engineering (UralCon). IEEE, 2021. http://dx.doi.org/10.1109/uralcon52005.2021.9559617.

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Wang, Pingping, Zheng Yang, Zhipeng Su, and Zhenyu Xu. "Analysis of Traveling Wave Fault Location." In 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2012. http://dx.doi.org/10.1109/appeec.2012.6307623.

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Sharanya, M., M. Meenakshi Devi, and M. Geethanjali. "Fault Detection and Location in DC Microgrid." In 2018 National Power Engineering Conference (NPEC). IEEE, 2018. http://dx.doi.org/10.1109/npec.2018.8476773.

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Liu, Sen. "Research on GIL Fault Diagnosis and Location Method Based on Partial Discharge and Vibration Monitoring." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-92174.

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Abstract At present, the ultra-high voltage transmission lines in nuclear power plants mostly use Gas Insulated transmission lines (GIL). This type of transmission line transmits large natural power, and GILs are mostly laid through corridors and themselves are metal-enclosed gas -insulated structures, which are affected by the natural environment and have low reliability. high. However, due to the long length of each independent air chamber of the GIL, when it fails, it is accurately difficult to monitor the fault and locate the fault, which reduces the availability of the unit and brings about greater economic losses. In this paper, through the simulation test of the vibration signal propagation when the GIL fails, the signal attenuation law of the vibration signal passing through the insulator is tested, and the fault cell is located through the signal analysis of the vibration sensors in different directions. At the same time, through the simulation test research on the discarge faults of metal spikes, floating potential and metal particles in the GIL, after obtaining the partial discharge signal through the sensor, the corresponding partial discharge eigenvalues are extracted, and the eigenvalues are classified based on the SVM method to realize the GIL fault. Which can provide support for engineering practice.
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Raisz, David, and Janos Gonczi. "Fault location methods at compensated MV networks." In 2014 49th International Universities Power Engineering Conference (UPEC). IEEE, 2014. http://dx.doi.org/10.1109/upec.2014.6934694.

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Ma, Jing, Jin-long Li, Zeng-ping Wang, and Qi-xun Yang. "A Novel Wide-area Fault Location Algorithm Based on Fault Model." In 2010 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2010. http://dx.doi.org/10.1109/appeec.2010.5448969.

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Wang, Fanrong, Hong Zhou, Wenshan Hu, and Qijun Deng. "Summary of distribution network fault location technique." In 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6057908.

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Bukvisova, Zuzana, Jaroslava Orsagova, and David Topolanek. "Unsymmetrical fault location on 110 kV Lines." In 2018 19th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2018. http://dx.doi.org/10.1109/epe.2018.8395940.

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