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Journal articles on the topic 'Fault location (Engineering) Computer programs'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Nazerian, Vahdat, Mohammad Esmail Zakerifar, Mahmoud Zadehbagheri, Mohammad Javad Kiani, and Tole Sutikno. "Comparative detection and fault location in underground cables using Fourier and modal transforms." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (December 1, 2022): 5821. http://dx.doi.org/10.11591/ijece.v12i6.pp5821-5839.

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<span>In this research, we create a single-phase to ground synthetic fault by the simulation of a three-phase cable system and identify the location using mathematical techniques of Fourier and modal transforms. Current and voltage signals are measured and analyzed for fault location by the reflection of the waves between the measured point and the fault location. By simulating the network and line modeling using alternative transient programs (ATP) and MATLAB software, two single-phase to ground faults are generated at different points of the line at times of 0.3 and 0.305 s. First, the fault waveforms are displayed in the ATP software, and then this waveform is transmitted to MATLAB and presented along with its phasor view over time. In addition to the waveforms, the detection and fault location indicators are presented in different states of fault. Fault resistances of 1, 100, and 1,000 ohms are considered for fault creation and modeling with low arch strength. The results show that the proposed method has an average fault of less than 0.25% to determine the fault location, which is perfectly correct. It is varied due to changing the conditions of time, resistance, location, and type of error but does not exceed the above value.</span>

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Wu, Shih-DA, and Jung-Hua Lo. "The MADAG Strategy for Fault Location Techniques." Applied Sciences 13, no. 2 (January 6, 2023): 819. http://dx.doi.org/10.3390/app13020819.

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Spectrum-based fault localization (SBFL), which utilizes spectrum information of test cases to calculate the suspiciousness of each statement in a program, can reduce developers’ effort. However, applying redundant test cases from a test suite to fault localization incurs a heavy burden, especially in a restricted resource environment, and it is expensive and infeasible to inspect the results of each test input. Prioritizing/selecting appropriate test cases is important to enable the practical application of the SBFL technique. In addition, we must ensure that applying the selected tests to SBFL can achieve approximately the effectiveness of fault localization with whole tests. This paper presents a test case prioritization/selection strategy, namely the Minimal Aggregate of the Diversity of All Groups (MADAG). The MADAG strategy prioritizes/selects test cases using information on the diversity of the execution trace of each test case. We implemented and applied the MADAG strategy to 233 faulty versions of the Siemens and UNIX programs from the Software-artifact Infrastructure Repository. The experiments show that (1) the MADAG strategy uses only 8.99 and 14.27 test cases, with an average of 18, from the Siemens and UNIX test suites, respectively, and the SBFL technique has approximate effectiveness for fault localization on all test cases and outperforms the previous best test case prioritization method; (2) we verify that applying whole tests from the test suite may not achieve the better effectiveness in fault localization compared with the tests selected by MADAG strategy.

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Cao, Heling, Fei Wang, Miaolei Deng, and Lei Li. "The improved dynamic slicing for spectrum-based fault localization." PeerJ Computer Science 8 (September 7, 2022): e1071. http://dx.doi.org/10.7717/peerj-cs.1071.

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Background Spectrum-based Fault localization have proven to be useful in the process of software testing and debugging. However, how to improve the effectiveness of software fault localization has always been a research hot spot in the field of software engineering. Dynamic slicing can extract program dependencies under certain conditions. Thus, this technology is expected to benefit for locating fault. Methods We propose an improved dynamic slicing for spectrum-based fault localization under a general framework. We first obtain the dynamic slice of program execution. Secondly, we construct a mixed slice spectrum matrix from the dynamic slice of each test case and the corresponding test results. Finally, we compute the suspiciousness value of each statement in the mixed-slice spectram matrix. Results To verify the performance of our method, we conduct an empirical study on 15 widely used open-source programs. Experimental results show that our approach achieves significant improvement than the compared techniques. Conclusions Our approach can reduce approximately 1% to 17.79% of the average cost of code examined significantly.

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Hassan, Sana Khalid Abdul, and Firas Mohammed Tuaimah. "Optimal location of unified power flow controller genetic algorithm based." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (June 1, 2020): 886. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp886-894.

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<p>Now-a-days the Flexible AC Transmission Systems (FACTS) technology is very effective in improving the power flow along the transmission lines and makes the power system more flexible and controllable. This paper deals with overload transmission system problems such as (increase the total losses, raise the rate of power generation, and the transmission line may be exposed to shut down when the load demand increase from the thermal limit of transmission line) and how can solve this problem by choosing the optimal location and parameters of Unified Power Flow Controllers (UPFCs). which was specified based on Genetic Algorithm (GA) optimization method, it was utilized to search for optimum FACT parameters setting and location based to achieve the following objectives: improve voltages profile, reduce power losses, treatment of power flow in overloaded transmission lines and reduce power generation. MATLAB was used for running both the GA program and Newton Raphson method for solving the load flow of the system The proposed approach is examined and tested on IEEE 30-bus system. The practical part has been solved through Power System Simulation for Engineers (PSS\E) software Version 32.0 (The Power System Simulator for Engineering (PSS/E) software created from Siemens PTI to provide a system of computer programs and structured data files designed to handle the basic functions of power system performance simulation work, such as power flow, optimal power flow, fault analysis, dynamic simulations...etc.). The Comparative results between the experimental and practical parts obtained from adopting the UPFC where too close and almost the same under different loading conditions, which are (5%, 10%, 15% and 20%) of the total load. can show that the total active power losses for the system reduce at 69.594% at normal case after add the UPFC device to the system. also the reactive power losses reduce by 75.483% at the same case as well as for the rest of the cases. in the other hand can noted the system will not have any overload lines after add UPFC to the system with suitable parameters.</p>

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5

Bossche, Andre. "Computer-aided fault tree synthesis III: Real-time fault location." Reliability Engineering & System Safety 33, no. 2 (January 1991): 161–76. http://dx.doi.org/10.1016/0951-8320(91)90056-d.

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6

Wang, Haifeng, Zheng Li, Yong Liu, and Xiang Chen. "An Empirical Study on Higher-Order Mutation-Based Fault Localization." International Journal of Software Engineering and Knowledge Engineering 32, no. 01 (January 2022): 1–35. http://dx.doi.org/10.1142/s0218194022500012.

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Fault localization is one of the most expensive activities in software debugging. Mutation-based fault localization (MBFL) is a commonly studied technique that applied mutation analysis to find the location of faults in the programs. Previous studies showed that MBFL adopted First-Order-Mutants (FOMs) that could achieve promising results in single-fault localization, but it did not perform well in multiple-fault localization. Recently, Higher-Order-Mutants (HOMs) were proposed for modeling complex faults but whether HOMs can help in fault localization is still unknown. In this paper, we investigate the performance of MBFL with FOMs and HOMs on single- and multiple-fault localization. Moreover, to study the characteristics of HOMs, we divide HOMs into three groups (i.e. Accurate HOMs, Partially accurate HOMs, and Inaccurate HOMs) by considering different mutation locations. Based on the empirical results on 186 versions of six real-world programs, we find that (1) In single-fault localization, FOMs can achieve better performance than HOMs. (2) However, in multiple-fault localization, HOMs (2-HOMs) localize more faults than FOMs. (3) Furthermore, different types of HOMs have different fault localization effectiveness, where Accurate HOMs outperform the other two HOMs categories. Therefore, the researchers should propose methods to find HOMs more useful for fault localization.

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7

Li, Yan, Yu Guo, and Dening Zhang. "Researching on Distribution Network Fault Location System." Research Journal of Applied Sciences, Engineering and Technology 5, no. 4 (February 1, 2013): 1113–17. http://dx.doi.org/10.19026/rjaset.5.4823.

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Wang, Jinxin, Zhongwei Wang, Xiuzhen Ma, Guojin Feng, and Chi Zhang. "Locating Sensors in Complex Engineering Systems for Fault Isolation Using Population-Based Incremental Learning." Energies 13, no. 2 (January 8, 2020): 310. http://dx.doi.org/10.3390/en13020310.

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Fault diagnostics aims to locate the origin of an abnormity if it presents and therefore maximize the system performance during its full life-cycle. Many studies have been devoted to the feature extraction and isolation mechanisms of various faults. However, limited efforts have been spent on the optimization of sensor location in a complex engineering system, which is expected to be a critical step for the successful application of fault diagnostics. In this paper, a novel sensor location approach is proposed for the purpose of fault isolation using population-based incremental learning (PBIL). A directed graph is used to model the fault propagation of a complex engineering system. The multidimensional causal relationships of faults and symptoms were obtained via traversing the directed path in the directed graph. To locate the minimal quantity of sensors for desired fault isolatability, the problem of sensor location was firstly formulated as an optimization problem and then handled using PBIL. Two classical cases, including a diesel engine and a fluid catalytic cracking unit (FCCU), were taken as examples to demonstrate the effectiveness of the proposed approach. Results show that the proposed method can minimize the quantity of sensors while keeping the capacity of fault isolation unchanged.

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Idris, Muhd Hafizi, Mohd Rafi Adzman, Hazlie Mokhlis, Lilik Jamilatul Awalin, and Mohammad Faridun Naim Tajuddin. "Enhanced two-terminal impedance-based fault location using sequence values." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (April 1, 2023): 1291. http://dx.doi.org/10.11591/ijece.v13i2.pp1291-1305.

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<span lang="EN-US">Fault at transmission line system may lead to major impacts such as power quality problems and cascading failure in the grid system. Thus, it is very important to locate it fast so that suitable solution can be taken to ensure power system stability can be retained. The complexity of the transmission line however makes the fault point identification a challenging task. This paper proposes an enhanced fault detection and location method using positive and negative-sequence values of current and voltage, taken at both local and remote terminals. The fault detection is based on comparison between the total fault current with currents combination during the pre-fault time. While the fault location algorithm was developed using an impedance-based method and the estimated fault location was taken at two cycles after fault detection. Various fault types, fault resistances and fault locations have been tested in order to verify the performance of the proposed method. The developed algorithms have successfully detected all faults within high accuracy. Based on the obtained results, the estimated fault locations are not affected by fault resistance and line charging current. Furthermore, the proposed method able to detect fault location without the needs to know the fault type.</span>

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10

Chen, Longting, Guanghua Xu, Tangfei Tao, and Qingqiang Wu. "Deep Residual Network for Identifying Bearing Fault Location and Fault Severity Concurrently." IEEE Access 8 (2020): 168026–35. http://dx.doi.org/10.1109/access.2020.3023970.

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Chen, Rui, Xin Yin, Xianggen Yin, Yilin Li, and Jiayuan Lin. "Computational Fault Time Difference-Based Fault Location Method for Branched Power Distribution Networks." IEEE Access 7 (2019): 181972–82. http://dx.doi.org/10.1109/access.2019.2959427.

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12

Sumida, Masatoyo, Masaki Amemiya, Shin-Ichi Furukawa, and Kuniaki Tanaka. "Fault location on optical amplifier submarine transmission systems." Electronics and Communications in Japan (Part I: Communications) 79, no. 9 (1996): 1–10. http://dx.doi.org/10.1002/ecja.4410790901.

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13

Minh Khoa, Ngo, and Doan Duc Tung. "Design and Implementation of Real-time Fault Location Experimental System for Teaching and Training University Students." International journal of electrical and computer engineering systems 14, no. 1 (January 26, 2023): 109–18. http://dx.doi.org/10.32985/ijeces.14.1.12.

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The fault location problem is one of the most important issues in power system operation and control. To obtain an experimental system for teaching and training electrical engineering students, this paper performed a study to design and implement a real-time fault location laboratory-scale model from practical hardware components. The impedance-based fault location method is embedded in the system to determine the distance to fault in the transmission line. Furthermore, the monitoring and controlling program is designed by the Matlab App Designer – A new professional app to create the graphical user interface and use the integrated editor quickly. Several fault types including three-phase fault, phase-to-phase fault, phase-to-ground fault are created to evaluate the performance of the fault location experimental system. The real-time measurement results which are acquired and observed on the user guide interface of the program confirm the effectiveness of the experimental system; therefore, the system can be considered a powerful tool for electrical engineering students.

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14

Yang, Yongsheng, Qi Zhang, Minzhen Wang, Xinheng Wang, and Entie Qi. "Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix." Applied Sciences 13, no. 2 (January 15, 2023): 1174. http://dx.doi.org/10.3390/app13021174.

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Aiming at the difficulty of fault location of multi-source transmission lines, this paper proposes a fault location method for multi-terminal transmission lines based on a fault branch judgment matrix. The fault traveling wave signal is decomposed by Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), and the IMFs sensitive components that can characterize the fault characteristics of the target signals are selected by constructing a correlation-rearrangement entropy function. The arrival time of fault signals at the endpoint has been accurately calibrated by combining them with the Teager Energy Operator (TEO). To eliminate the influence of wave velocity and fault time on the location results, this paper proposes a two-terminal location method based on the line mode component to improve the location accuracy. On this basis, combined with the fault branch judgment matrix, the accurate location of multi-terminal transmission line faults is realized. This method has been shown to have high accuracy in detecting traveling wave heads, accurately judging fault branches, and producing a small error in fault location results. Compared with the existing multi-terminal transmission line fault location algorithm, it has obvious advantages and meets the needs of actual working conditions.

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Nabwani, Moneer, Michael Suleymanov, Yosef Pinhasi, and Asher Yahalom. "Real-Time Fault Location Using the Retardation Method." Electronics 11, no. 7 (March 22, 2022): 980. http://dx.doi.org/10.3390/electronics11070980.

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A new method for short-circuit fault location is proposed. The method is based on instantaneous signal measurement and its first and second derivatives, which are the novel elements of the current approach. The derivatives allow associating a precise time stamp to the occurrence of the fault. Due to retardation phenomena, the difference between the times in which a signal is registered in two detectors can be used to locate the fault. We offer several mathematical models to describe the fault. Although a description of faults in terms of a lumped circuit is useful for elucidating the methods for detecting the fault, this description will not suffice to describe the fault signal propagation; hence, a distributed models is needed, which is given in terms of the telegraph equations. Those equations were used to derive a transmission line transfer function, and an exact analytical description of the fault signal propagating in the transmission line was obtained. The analytical solution was verified both by numerical simulations and experimentally.

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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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Wang, Lei, Yigang He, and Lie Li. "A Single-Terminal Fault Location Method for HVDC Transmission Lines Based on a Hybrid Deep Network." Electronics 10, no. 3 (January 22, 2021): 255. http://dx.doi.org/10.3390/electronics10030255.

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High voltage direct current (HVDC) transmission systems play an increasingly important role in long-distance power transmission. Realizing accurate and timely fault location of transmission lines is extremely important for the safe operation of power systems. With the development of modern data acquisition and deep learning technology, deep learning methods have the feasibility of engineering application in fault location. The traditional single-terminal traveling wave method is used for fault location in HVDC systems. However, many challenges exist when a high impedance fault occurs including high sampling frequency dependence and difficulty to determine wave velocity and identify wave heads. In order to resolve these problems, this work proposed a deep hybrid convolutional neural network (CNN) and long short-term memory (LSTM) network model for single-terminal fault location of an HVDC system containing mixed cables and overhead line segments. Simultaneously, a variational mode decomposition–Teager energy operator is used in feature engineering to improve the effect of model training. 2D-CNN was employed as a classifier to identify fault segments, and LSTM as a regressor integrated the fault segment information of the classifier to achieve precise fault location. The experimental results demonstrate that the proposed method has high accuracy of fault location, with the effects of fault types, noise, sampling frequency, and different HVDC topologies in consideration.

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Chen, Yougen, Junbo Yin, Zhiyong Li, and Renyong Wei. "Single-Line-to-Ground Fault Location in Resonant Grounded Systems Based on Fault Distortions." IEEE Access 9 (2021): 34325–37. http://dx.doi.org/10.1109/access.2021.3061211.

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Dashtdar, Masoud, Arif Hussain, Hassan Z. Al Garni, Abdullahi Abubakar Mas’ud, Waseem Haider, Kareem M. AboRas, and Hossam Kotb. "Fault Location in Distribution Network by Solving the Optimization Problem Based on Power System Status Estimation Using the PMU." Machines 11, no. 1 (January 13, 2023): 109. http://dx.doi.org/10.3390/machines11010109.

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Fault location is one of the main challenges in the distribution network due to its expanse and complexity. Today, with the advent of phasor measurement units (PMU), various techniques for fault location using these devices have been proposed. In this research, distribution network fault location is defined as an optimization problem, and the network fault location is determined by solving it. This is done by combining PMU data before and after the fault with the power system status estimation (PSSE) problem. Two new objective functions are designed to identify the faulty section and fault location based on calculating the voltage difference between the two ends of the grid lines. In the proposed algorithm, the purpose of combining the PMU in the PSSE problem is to estimate the voltage and current quantities at the branch point and the total network nodes after the fault occurs. Branch point quantities are calculated using the PMU and the governing equations of the π line model for each network section, and the faulty section is identified based on a comparison of the resulting values. The advantages of the proposed algorithm include simplicity, step-by-step implementation, efficiency in conditions of different branch specifications, application for various types of faults including short-circuit and series, and its optimal accuracy compared to other methods. Finally, the proposed algorithm has been implemented on the IEEE 123-node distribution feeder and its performance has been evaluated for changes in various factors including fault resistance, type of fault, angle of occurrence of a fault, uncertainty in loading states, and PMU measurement error. The results show the appropriate accuracy of the proposed algorithm showing that it was able to determine the location of the fault with a maximum error of 1.21% at a maximum time of 23.87 s.

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Okoli, Chinweike, Boniface Anyaka, Chidiogo Nwokedi, and Victor Anya. "Application of Composite Method for Determining Fault Location on Electrical Power Distribution Lines." Journal of Electrical and Computer Engineering 2020 (September 1, 2020): 1–9. http://dx.doi.org/10.1155/2020/2836940.

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Distribution line is one of the most important components of the distribution system. Troubleshooting faults on these lines are often a tedious task requiring service vehicles and personnel moving from one place to another in order to locate the fault and fix the problem. The study, therefore, is on how a composite fault location technique can be applied to predict the location of faults on the distribution lines. The calculations for the estimation of the fault location are performed using one terminal voltage and current data of the distribution line. A composite method that combines the impedance-based method and the fuzzy inference system method is used in the fault location algorithm. The presented algorithm has been extensively tested using the MATLAB-Simulink model of a 33 KV 40-kilometer distribution line. The simulation result demonstrates good accuracy and robustness of the algorithm.

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Pang, Qingle, Lin Ye, Houlei Gao, Xinian Li, Yangjie Wang, and Tong Cao. "Multi-Timescale-Based Fault Section Location in Distribution Networks." IEEE Access 9 (2021): 148698–709. http://dx.doi.org/10.1109/access.2021.3123180.

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Luo, Guomin, Yingjie Tan, Meng Li, Mengxiao Cheng, Yanmei Liu, and Jinghan He. "Stacked Auto-Encoder-Based Fault Location in Distribution Network." IEEE Access 8 (2020): 28043–53. http://dx.doi.org/10.1109/access.2020.2971582.

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Luo, Guomin, Changyuan Yao, Yinglin Liu, Yingjie Tan, Jinghan He, and Kai Wang. "Stacked Auto-Encoder Based Fault Location in VSC-HVDC." IEEE Access 6 (2018): 33216–24. http://dx.doi.org/10.1109/access.2018.2848841.

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Koga, Hiroaki, Tetsuji Abe, Kazutoki Takeda, Akira Hayashi, and Yutaka Mitsunaga. "Study of fault-location expert systems for paired cables." Electronics and Communications in Japan (Part I: Communications) 74, no. 10 (October 1991): 58–67. http://dx.doi.org/10.1002/ecja.4410741006.

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Zhang, Rongsheng, and Lisang Liu. "Distribution Network Regionalized Fault Location Based on an Improved Manta Ray Foraging Optimization Algorithm." Electronics 11, no. 15 (July 27, 2022): 2342. http://dx.doi.org/10.3390/electronics11152342.

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To address the problem that the accuracy of traditional intelligent algorithms in distribution network fault location decreases with the expansion of distribution network scale, a regionalized fault location method for distribution networks containing distributed power sources based on the improved manta ray foraging optimization (IMRFO) algorithm is proposed. First, the global convergence property of the basic manta ray foraging optimization (MRFO) algorithm is improved by fusing the restart strategy and the opposition-based learning strategy. Then, based on the two-port equivalence principle, a topological model for regionalized fault hierarchical localization in distribution networks is constructed. Finally, the algorithm is improved by binary discretization using the Sigmoid function to output the fault vector and complete the fault location of the distribution network. Simulation experiments are conducted using MATLAB for IEEE-33 node distribution networks and the simulation results show that the IMRFO algorithm combined with the regionalization of complex distribution networks has a better effect of dimensionality reduction. Compared with the traditional distribution network simulation model, the fault location fault tolerance is greatly improved and its accuracy rate is increased by 1.8% and the location speed is improved by 15.537 ms.

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Idris, Muhd Hafizi, Mohd Rafi Adzman, Hazlie Mokhlis, Mohammad Faridun Naim Tajuddin, Haziah Hamid, and Melaty Amirruddin. "Two-terminal fault detection and location for hybrid transmission circuit." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (August 1, 2021): 639. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp639-649.

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This paper presents the algorithms developed to detect and locate the faults ata hybrid circuit. First, the fault detection algorithm was developed using the comparison of total positive-sequence fault current between pre-fault and fault times to detect the occurrence of a fault. Then, the voltage check method was used to decide whether the fault occurred at overhead line (OHL) or cable section. Finally, the fault location algorithm using the impedance-based method and negative-sequence measurements from both terminals of the circuit were used to estimate the fault point from local terminal. From the tests of various fault conditions including different fault types, fault resistance and fault locations, the proposed method successfully detected all fault cases at around 1 cycle from fault initiation and with correct faulted section identification. Besides that, the fault location algorithm also has very accurate results of fault estimation with average error less than 1 km and 1%.<br /><div> </div>

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Zhao, Min, and Yan-Fang Zhang. "Fault section location for distribution network containing DG based on IBQPSO." Journal of Computational Methods in Sciences and Engineering 20, no. 3 (September 30, 2020): 937–49. http://dx.doi.org/10.3233/jcm-204231.

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To meet the requirement of the efficiency and accuracy for fault section location introduced by the construction and development of smart distribution network containing DG, a switching function model which can adapt itself to the change caused by switching of multiple DG is built and a network regional processing solution is raised. A fault section location for distribution network containing DG based on improved binary quantum particle swarm optimization (IBQPSO), which can effectively overcome the problem of global and local search capability imbalance in binary particle swarm optimization (BPSO), is proposed. The fault tolerance, rapidity and accuracy of this method are verified by simulation analysis of IEEE33 node system containing DG.

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Hammons, T. J., A. Flett, and P. Kacejko. "Computer Programs for Fault Studies Using Symmetrical Components in Undergraduate and Postgraduate Teaching." Electric Machines & Power Systems 20, no. 5 (September 1992): 425–44. http://dx.doi.org/10.1080/07313569208909606.

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Kumar Yellagoud, Surender, and Purnachandra Rao Talluri. "Automated Fault Location on Power Distribution Lines using Artificial Neural Networks." Research Journal of Applied Sciences, Engineering and Technology 12, no. 12 (June 15, 2016): 1136–46. http://dx.doi.org/10.19026/rjaset.12.2882.

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Chile, Rajan Hari, and Mangal Hemant Dhend. "Hybrid neural network with bat approach for smart grid fault location." International Journal of Reasoning-based Intelligent Systems 11, no. 3 (2019): 242. http://dx.doi.org/10.1504/ijris.2019.10023442.

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Dhend, Mangal Hemant, and Rajan Hari Chile. "Hybrid neural network with bat approach for smart grid fault location." International Journal of Reasoning-based Intelligent Systems 11, no. 3 (2019): 242. http://dx.doi.org/10.1504/ijris.2019.102600.

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Lombardi, F., Y. N. Shen, and J. Muzio. "FFT architecture for WSI with concurrent error detection and fault location." IEE Proceedings E Computers and Digital Techniques 139, no. 1 (1992): 13. http://dx.doi.org/10.1049/ip-e.1992.0003.

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Yang, Bo, Jun Tang, Chen Yang, Xiaofeng Dong, Kun Huang, and Changsen Feng. "High-Temperature Superconducting Cable Fault Location Method Based on Improved Time-Frequency Domain Reflection Method and EEMD Noise Reduction." Mathematical Problems in Engineering 2021 (December 2, 2021): 1–10. http://dx.doi.org/10.1155/2021/9590969.

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Aiming at the operation and maintenance requirements of the fault location of high-temperature superconducting cables, a fault location method of high-temperature superconducting cables based on the improved time-frequency domain reflection method and EEMD noise reduction is proposed. Considering the cross-term interference problem in the traditional time-frequency domain reflection method, this paper introduces the affine transformation to project the time-frequency distribution of the self-term and the cross term and further highlights the characteristic differences between the two through coordinate transformation, and the particle swarm algorithm is employed to solve the optimal stagger angle of the affine transformation. The unscented particle filter is adopted to separate the cross term, and EEMD noise reduction is introduced to solve the signal noise problem. Finally, two software programs, PSCAD and MATLAB, are employed for joint simulation to build a model of high-temperature superconducting cable. The simulation example shows that the proposed method in this paper can eliminate the cross-term interference of the traditional time-frequency domain reflection method, effectively locate the fault of the high-temperature superconducting cable, and improve the positioning accuracy.

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BARATI, Javad, and Aref DOROUDI. "Novel modified impedance-based methods for fault location in the presence of a fault current limiter." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 26, no. 4 (July 27, 2018): 1881–93. http://dx.doi.org/10.3906/elk-1711-127.

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Gan, Yi, Sha Liu, and Wen Bo Zhu. "Studies and Application of Heavy Equipment Fault Diagnosis System." Advanced Materials Research 225-226 (April 2011): 399–402. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.399.

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Analyze the ways to get fault information for heavy equipment fault diagnosis system, which are the control system of the device, layout sensors to get the key performance parameters, and human-computer interaction. In order to improve accuracy and efficiency of the diagnostic system, the methods of fault location tree retrieval and similar case retrieval are applied respectively according to the difference of fault information content in the diagnosis information database. The diagnosis system introduced in the paper gets effective initial application in the heavy equipment fault diagnosis system.

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ISTRATE, M., A. MIRON, C. ISTRATE, M. GUSA, and D. MACHIDON. "Single-phased Fault Location on Transmission Lines Using Unsynchronized Voltages." Advances in Electrical and Computer Engineering 9, no. 3 (2009): 51–56. http://dx.doi.org/10.4316/aece.2009.03010.

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Hamdouche, Tarek, Omar Bendjeghaba, Brakta Noureddine, and Ahriche Aimad. "A novel fault location approach for radial power distribution systems." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 3 (June 1, 2022): 2242. http://dx.doi.org/10.11591/ijece.v12i3.pp2242-2255.

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Power distribution systems (PDS) are increasingly complex and spread over long distances and in different locations. Given their radial configuration, the loads could be inserted at the same distances from the substation. This leads to multiple estimation of fault location (FL) and yields time consuming for iterative FL algorithms. In this article, we provide a novel practical approach to fault localization in order to defeat these limitations. The central idea of the proposed approach is to divide the multilateral distribution system into a possible number of mono-lateral sub systems (MLS) using a proposed communicating sensor. Next, we apply two different fault locator algorithms only to the defective MLS. The first variant of the approach is based on the impedance method, while the second variant is non-parametric used only when there is lack in the line data. To test the proposed technique in practice, we used the IEEE 13 Node test feeder, and a real Algerian PDS. The results obtained clearly show the contribution of the dedicated method for locating faults in the PDS.

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Cavalcante, Paulo A. H., Fernanda C. L. Trindade, and Madson C. de Almeida. "Transmission Lines Fault Location: A Mathematical Morphology-Based Approach." Journal of Control, Automation and Electrical Systems 24, no. 4 (April 17, 2013): 470–80. http://dx.doi.org/10.1007/s40313-013-0028-z.

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Huai, Qing, Liang Qin, Kaipei Liu, Hua Ding, Xiaobing Liao, and Tianyuan Tan. "Combined Line Fault Location Method for MMC–HVDC Transmission Systems." IEEE Access 8 (2020): 170794–806. http://dx.doi.org/10.1109/access.2020.3024674.

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Das, Swagata, Surya Santoso, Anish Gaikwad, and Mahendra Patel. "Impedance-based fault location in transmission networks: theory and application." IEEE Access 2 (2014): 537–57. http://dx.doi.org/10.1109/access.2014.2323353.

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Hayashi, Yoshihiro, Youhou Miyawaki, and Mamoru Aiki. "Remote control signal for submarine optical repeater fault location systems." Electronics and Communications in Japan (Part I: Communications) 69, no. 9 (1986): 93–99. http://dx.doi.org/10.1002/ecja.4410690911.

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42

Mochizuki, Satoshi, Akira Hayashi, and Hiroaki Koga. "Fault location for balanced pair cable by input-admittance measurement." Electronics and Communications in Japan (Part I: Communications) 75, no. 3 (1992): 52–61. http://dx.doi.org/10.1002/ecja.4410750306.

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Khan, A., D. Ceglarek, and J. Ni. "Sensor Location Optimization for Fault Diagnosis in Multi-Fixture Assembly Systems." Journal of Manufacturing Science and Engineering 120, no. 4 (November 1, 1998): 781–92. http://dx.doi.org/10.1115/1.2830221.

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The effectiveness of fault diagnosis in assembly is contingent on the effectiveness of the sensor measurement of assembled parts. Using a diagnosability enhancement methodology for a single fixture, a means to achieve an optimal sensor configuration for a multi-fixture assembly of sheet metal parts is proposed. A Hierarchical Group description of the assembly is used to build a State-Transition representation which, with fixture CAD information, is used in multi-level hierarchical optimization to arrive at the optima. A defined Coverage Effectiveness Index quantifies fault isolation performance. The index also serves to evaluate the performance effectiveness of the measurement station location and change in the sensor number. The approach has significant utility in automotive body assembly where system complexity makes the choice of sensor location vital to fault isolation performance. Examples using multi-fixture simulated and industrial automotive body assembly sequences are provided to illustrate the methodology.

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Moloi, Katleho, Nomihla Wandile Ndlela, and Innocent E. Davidson. "Fault Classification and Localization Scheme for Power Distribution Network." Applied Sciences 12, no. 23 (November 22, 2022): 11903. http://dx.doi.org/10.3390/app122311903.

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In this paper, a fault protection diagnostic scheme for a power distribution system is proposed. The scheme comprises a wavelet packet decomposition (WPD) for signal processing and analysis and a support vector machine (SMV) for fault classification and location. The scheme is tested on a reduced Eskom 132 kV power line. The WPD is used to extract fault signatures of interest and the SVM is subsequently used for fault classification and locating various fault conditions. Furthermore, we investigate the effectiveness of the SVM scheme using different samples of the cycles for fault classification and location. The results show that the fault classification and location on a distribution line can be determined rapidly and efficiently irrespective of the fault impedance and incipient angle with minimum estimation error. Lastly, the proposed scheme is tested on a grid-integrated system with renewable energy sources.

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El-Tawab, Sally, Hassan S. Mohamed, Amr Refky, and A. M. Abdel-Aziz. "Self-Healing of Active Distribution Networks by Accurate Fault Detection, Classification, and Location." Journal of Electrical and Computer Engineering 2022 (March 31, 2022): 1–14. http://dx.doi.org/10.1155/2022/4593108.

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The power system self-healing concept needs accurate and reliable fault detection, classification, and location (FDCL). This research proposes a novel and robust FDCL approach for distribution networks (DNs) in proportion to self-healing requirements. The proposed algorithm utilized a discrete wavelet transform (DWT) to decompose the measured current and zero sequence current component of only one terminal (substation) to detect and classify all fault types with the identification of the faulted phase (s). The fault location is achieved by integrating DWT and support vector machine (SVM). The data for training were extracted using DWT and collected, and then SVM was trained to locate the faulted section. The simplicity of the applied approach, ignoring DG’s data that is merged into the system, reduced training data and time, ability to diagnose all fault types, and high accuracy are the most significant contributions. The proposed techniques are tested on IEEE 33 bus DN with two distributed generation (DG) units, which are simulated in MATLAB. The simulation results demonstrate that the proposed methods give more accurate and reliable results for diagnosing the faults (FDCL) of various fault sorts, DN size, and resistance levels.

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Lin, Wei-Chen, Wei-Tzer Huang, Kai-Chao Yao, Hong-Ting Chen, and Chun-Chiang Ma. "Fault Location and Restoration of Microgrids via Particle Swarm Optimization." Applied Sciences 11, no. 15 (July 30, 2021): 7036. http://dx.doi.org/10.3390/app11157036.

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This aim of this work was to develop an integrated fault location and restoration approach for microgrids (MGs). The work contains two parts. Part I presents the fault location algorithm, and Part II shows the restoration algorithm. The proposed algorithms are implemented by particle swarm optimization (PSO). The fault location algorithm is based on network connection matrices, which are the modifications of bus-injection to branch-current and branch-current to bus-voltage (BCBV) matrices, to form the new system topology. The backward/forward sweep approach is used for the prefault power flow analysis. After the occurrence of a fault, the voltage variation at each bus is calculated by using the Zbus modification algorithm to modify Zbus. Subsequently, the voltage error matrix is computed to search for the fault section by using PSO. After the allocation of the fault section, the multi-objective function is implemented by PSO for optimal restoration with its constraints. Finally, the IEEE 37-bus test system connected to distributed generations was utilized as the sample system for a series simulation and analysis. The outcomes demonstrated that the proposed optimal algorithm can effectively solve fault location and restoration problems in MGs.

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Handique, Mousum, Jantindra Kumar Deka, and Santosh Biswas. "Fault Localization Scheme for Missing Gate Faults in Reversible Circuits." ACM Transactions on Design Automation of Electronic Systems 27, no. 4 (July 31, 2022): 1–29. http://dx.doi.org/10.1145/3503539.

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This article introduces a fault localization method to extract the exact location of single and multiple missing gate faults in reversible \( k \) -CNOT -based circuits. The primary target of the proposed method is to obtain the complete test set for localizing faults in \( k \) -CNOT circuits. We propose a fault localization algorithm to construct a fault localization tree that can be used to find equivalent and non-equivalent faults. For the non-equivalent faults, the test sequences can be obtained from the fault localization tree that uniquely localizes the non-equivalent faults. Finally, this article presents the experimental results and comparative analysis with existing works.

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Cai, Daiying, and Jun Zhang. "New Fault-Location Algorithm for Series-Compensated Double-Circuit Transmission Line." IEEE Access 8 (2020): 210685–94. http://dx.doi.org/10.1109/access.2020.3039877.

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Huang, Xiaoli, Zhenyu Xie, and Xinyi Huang. "Fault Location of Distribution Network Base on Improved Cuckoo Search Algorithm." IEEE Access 8 (2020): 2272–83. http://dx.doi.org/10.1109/access.2019.2962276.

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Chen, Kunjin, Jun Hu, Yu Zhang, Zhanqing Yu, and Jinliang He. "Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks." IEEE Journal on Selected Areas in Communications 38, no. 1 (January 2020): 119–31. http://dx.doi.org/10.1109/jsac.2019.2951964.

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