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232 articles for “Fault”
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Fault Dealing through Software Fault Tolerance in Automated Dose Packaging System
Abstract: Each industry is highly influenced by latest computer technology. Computer system has quickly become an important and vital element in any growing industry. Each industry is depending on certain computer base applications and systems to achieve high accuracy and reliability. This paper focuses on automated dose packaging system. Such system needs supportive computer system which assists to have desired outcomes at any circumstances. Faulty environment may cause unexpected damage to …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 1, 2018 · pp. 1–5 Read article
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PI Control Based switching Fault control in Four Switch Voltage Source Inverter
Abstract: This paper presents a fault tolerant control in four switch voltage source inverter by using PI controller. Four switch voltage source inverter has four switches with two legs and DC input link. Four switch voltage source inverter (FSVSI) can produce a three phase ac voltage as in six switch three phase voltage source inverter with only a four power semiconductor switches in a short of two switches. The two switch …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 1, 2022 · pp. 21–28 Read article
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A Review On Various Faults And Fault Diagnosis Of Induction Motor
Abstract: Currently the utilization of Conditioning Monitoring of electrical automatic machines are expanding because of its capability to lessen working costs, upgrade the reliable quality of activity and enhance administration to clients. Distinctive contrasting options to identify and analyze faults in induction machines have been proposed and actualized in the most recent years. In this paper various strategies to analyze faults looked into over recent years are evaluated and this report …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 43–50 Read article
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Detection of Stator Winding Faults Using Finite Element Analysis (FEA) in BLDC Motors
Abstract: Detection of eccentricity faults has been feasible using physical and vibrational parameters. The Brushless DC motor is undergoes various kinds of stresses including mechanical, electrical, thermal, and environmental. These stresses increase the probability of occurrences of stator faults with various severity levels. The well maintained BLDC motor and correct operations decrease the probability of occurrences of faults. These faults are of three types as damage in laminations, damage in frame …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 82–90 Read article
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Efficient Fault Detection in Power Transmission: A Review of Three-Phase Line Fault Detection with Hybrid Energy using MATLAB
Abstract: In urban regions, the density of power demand has significantly increased recently. Large-scale subterranean power cable installations are beginning to take the place of overhead transmission lines everywhere in the world because of environmental concerns in highly populated areas. The present project's primary objective is to use MATLAB to create a simulation model that includes 3ph symmetrical and unsymmetrical defects. Some have proven to be effective in detecting errors while …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 42–47 Read article
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Automated Fault Identification and Tracking in Power Transmission Networks Using GPS
Abstract: Power transmission lines are vulnerable to faults caused by environmental factors, aging infrastructure, and external disturbances such as falling trees or animal contact. Prompt and accurate detection and location of these faults are essential to ensure uninterrupted power delivery, reduce equipment damage, and minimize downtime. This project presents an automatic fault detection and location system using GPS technology integrated with a microcontroller-based sensing module. The proposed system continuously monitors voltage …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 37–43 Read article
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Detection of Fault and Protection of Faulted Distribution Feeder with Field Programmable Gate Array Using State Diagrams
Abstract: A hardware-efficient algorithm for fast fault-detection in feeders radiating out of a distribution substation and its subsequent clearance from the system for safe operation of the healthy parts has been presented in the paper. State diagrams used to design the circuit.The general purpose SPARTANE 3AN FPGA kit has been employed for developing the protective over-current relay. All the coding has been done using the hardware description language VERILOG. To avoid …
Published in Journal of Microcontroller Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 5–12 Read article
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Boosting Gesture Recognition with Software Fault Tolerance
Abstract: User interface is always a key important issue of any application. Graphic user interface is one of the convenient and conventional ways to use application but the current trades of user interface are very popular with emotional user interface (EUI). Automation, changing technology and shortest path to operate command are certain reasons of popularity of EUI. In any EUI, the gesture recognition is core important part. Faults may occur anywhere …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 1, 2018 · pp. 1–5 Read article
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Brief Review of Fault Detection and Classification in Induction Motor
Abstract: Induction motors are operating as the support system for each industry. But like every different machine, due to serious duty cycles, poor operating atmosphere, installation and manufacturing factors, they gradually slow down or sometimes fail. That is why, diagnosis methods that are competent to sense the motor failures are necessary in order to increase the safety and the performances of with increasing needs for reliability and efficiency, the field of …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 1, 2019 · pp. 1–6 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing Read article
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A Common Mode Scan Based BIST for Stuck-at-Fault and Path Delay Fault
Abstract: Testing for delay and stuck-at faults requires two pattern tests and test sets are usually large. Built-in self-test (BIST) scheme is attractive for comprehensive testing. The BIST test pattern generators (TPGs) for such testing should be designed to ensure high pattern-pair coverage. In the proposed work, necessary and sufficient conditions to ensure complete/maximal pattern-pair coverage for sequential circuit have been derived. A new test data-compression scheme is an effective approach …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 72–78 Read article
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Detection of Stator and Rotor Winding Faults in Induction Motor using Park’s Vector Approach
Abstract: The Induction Motors in every rotating machine’s heart and it’s a very important component in a much. Almost 90 percent of the Induction Motor use in industry as a prime mover. So Induction Motor is necessary to Condition Monitoring for Economic Running Cost. Condition Based Monitoring of Induction Motor has become an important and difficult task for Engineers and Researchers mainly in Industrial applications. Several Condition Monitoring Methods (Technique) including …
Published in Journal of Control & Instrumentation Read article
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Investigative Study of Adaptive Fault Tolerance in Optical Networks
Abstract: Optical networks have become the backbone of modern telecommunications infrastructure, enabling high-speed data transmission across global networks. However, these networks face significant reliability challenges due to component failures, signal degradation, and environmental factors. This investigative study examines adaptive fault tolerance mechanisms in optical networks, focusing on emerging technologies and methodologies that enhance network resilience. The research analyzes various fault detection techniques, including machine learning-based approaches, self-healing protocols, and dynamic reconfiguration …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 24–30 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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An Efficient Fault Detection and Localization System for Three-Phase Transmission Line using Arduino and Artificial Neural Networks
Abstract: This paper presents an efficient fault detection and localization system for a three-phase transmission line using Arduino and artificial neural networks. Theproposed system is designed to detect and localize faults in real-time, reducing the downtime and improving the reliability of the power system. The system consists of three main components: the fault detection unit, the fault classification unit, and the fault localization unit. The fault detection unit uses Arduino microcontroller …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 35–42 Read article
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Faults in Smart Grid- A Review
Abstract: Smart grid plays a important role for upcoming society. Our modern society is largely dependent on electric energy whereas smart grids are the best way to produce more energy for more utilization as energy usage steadily increases, but as there is more production and utilization there are also more faults and losses. For faults occurrence there should be a fault detection system which will stay away from the faults. There …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 44–50 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 9–25 Read article
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Fault Tolerant Inverter for BLDC Drives
Abstract: In this study, fault tolerant inverter for BLDC drives is used for aerospace application. In such application, the human intervention is limited. So, the fault tolerant control of BLDC motor is of great importance for its continuous operating capacity even under the faulty situation. Over voltage and over current phenomenon occur in system due to switching faults, so a fault isolation and system reconfiguration method is presented. This method can …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 3, 2018 · pp. 31–38 Read article