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234 articles for “Fault”
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A Novel Approach to Design Underground Fault Locator in Power Cable
Abstract: AbstractIt is very difficult to find the exact location of cable fault in underground cables; generally, these problems occur in metropolitan cities. A large amount of money is invested in digging the earth. This problem leads to design this project to find out the exact location of the error occurs in the underground cables from the side of the feeder and liquid crystal display show the distance in kilometer and …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 1, 2020 · pp. 31–35 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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Faults Detection Techniques of Three Phase Induction Motor: A Review
Abstract: Induction motors are the most commonly used machines in industries. It is very robust, inexpensive and easy to maintain. Induction motors appear to various faults during their operation. Accurate fault identification is the prime industrial need to reduce breakdown, maintenance and revenue losses. Therefore, an early fault detection is needed for the protection of the motor against electrical and mechanical failures for continuing their operation safely. The main perspective of …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 45–49 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 amuch. Almost 90 percent of the Induction Motor use in industry as a prime mover. So Induction Motoris necessary to Condition Monitoring for Economic Running Cost. Condition Based Monitoring ofInduction Motor has become an important and difficult task for Engineers and Researchers mainly inIndustrial applications. Several Condition Monitoring Methods (Technique) including Motor CurrentSignature Analysis Monitoring, …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 1, 2021 · pp. 6–17 Read article
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Design of Fault Tolerant Reversible Comparator
Abstract: Reversible circuits have proved its significance in the synthesis of circuits having their important role in nanotechnology, quantum computing, low power CMOS Design, cryptography and Bioinformatics. The Reversible Gates can be further made more beneficial if they prove themselves to be Fault Tolerant i.e. where errors can be detected and corrected at the same time. This Paper considers parity preserving technique for making Reversible circuits Fault Tolerant. Parity Preserving Gates …
Published in Journal of Semiconductor Devices and Circuits · Vol. 6, Issue 2, 2019 · pp. 13–17 Read article
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The Impact of Faults in Three-phase Transmission Line and Their Detection Techniques: A Review
Abstract: A three three-phase AC transmission line serves to be a key player in the electric power system. Fault occurrence in the lines disturb the continuity of electricity supply and lead to power losses. Various faults like LG, LL, LLG, LLL, LLLG, symmetrical faults, etc. occur in the transmission lines and tend to reduce the system efficiency. During such abnormal conditions, faults are detected through manual and/or automated systems. In an …
Published in Trends in Electrical Engineering · Vol. 13, Issue 1, 2023 · pp. 33–38 Read article
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UNDERGROUND CABLE FAULT DETECTION CAR
Abstract: Abstract:-Underground cables along with additional buried assistance can be identified and examinedusing an apparatus known as a cable detector. This is carried out by passing a signal into the earth andthen receiving it back through an antenna. Utilising the received signal endurance, the exact positionand depth of the underground question are found. In doing mining and construction work, this helpsprevent unintended injuries. There are numerous different types of underground cable …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 17–21 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. 45–54 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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Transients of Short-Circuits and Fault Clearance in 6-Pulse Diode Rectifiers
Abstract: The paper addresses the short-circuit transients in 6-pulse diode rectifier bridges. It includes also an investigation into the transients resulting from the subsequent fault clearance. Unit-step functions are efficiently used for representing the diode characteristics and emulating the fault switching actions. The short-circuit fault and its subsequent clearance are simulated by means of a time-dependent shunt resistance at the rectifier terminals. The governing set of simultaneous algebraic and differential equations …
Published in Trends in Electrical Engineering · Vol. 10, Issue 3, 2020 · pp. 6–14 Read article
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Comparative Study of Fault Tolerance Schemes in Internet of Things
Abstract: AbstractInternet of Things (IoT) is an emerging technology that has been used throughout the world. IoT has brought a revolution within the world of communication and knowledge industry as well. Effective deployment of IoT requires various issues to be addressed which include reliability, fault tolerance, security, privacy, power consumption, network connectivity, complexity, and flexibility. Reliability and fault tolerance is taken into account together of the main aspects of IoT applications. …
Published in Current Trends in Information Technology · Vol. 10, Issue 3, 2020 · pp. 14–20 Read article
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Software-fault Tolerance with OOP Approach by NET
Abstract: ABSTRACTPresent study was focus on Object Oriented Paradigm using Visual Basic.net which can be reusable and robust structures that support the prediction of fault tolerance of software errors in the application layer. Once any software developed, their first goal is to create error free and objective met software. Although developers often have several problems after completion of their task, here we will give fault-tolerance techniques with vb.net. We are trying …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 100–109 Read article
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Study and Analysis of Delay Faults of Embedded Processor using Dynamic Voltage Scaling Methods
Abstract: Voltage over-scaling has been a possibility for energy dependability compromise. This research will look into its effectiveness and the potential for rationale deferral flaws. Our contextual investigation on an ARM Cortex-M0 processor with business 45 nm libraries shows that the quantity of defer deficiencies increments decisively after the principal bombing working point which infers that voltage overscaling will be wasteful after the basic working point. This recommends the need of …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 15–19 Read article
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Street Light Automation and Fault Detection
Abstract: This paper addresses the concept, design, and implementation of an automated streetlighting system that uses Arduino technology for improving energy saving and detecting faults across the lamp. The system consists of several sensors: Light Dependent Resistors (LDR) as well as Infrared (IR) sensors, which are employed in the management to control the lighting of the streets and posts with surroundings and other conditions. Here, we use IR sensors for measuring …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 12–20 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article