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123 articles for “fault detection”
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 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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Smart SwitchBoard With Auto Safety Control
Abstract: The Intelligent Smart Switch Board, with Automatic Safety Control, is designed as an IoT-based intelligent power management system to enhance electrical safety by providing the user with real-time monitoring of electrical energy consumption and the ability to remotely control electrical loads in their home or small industrial facility. The Smart Switch Board is built around an ESP32 Microcontroller and uses a PZEM-004T Energy Meter Module to accurately measure voltage, current, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 16–23 Read article
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Automatic Fire Extinguisher Sprinkler System: An Innovative Solution for Fire Safety
Abstract: The Automatic Fire Extinguisher Sprinkler System is an advanced safety feature designed to quickly respond to fires in buildings. This system automatically detects heat or smoke and releases fire-suppressing agents to put out the flames before they can spread. The persistent risk of fire hazards in various sectors, including residential and commercial environments, has led to the innovation of sophisticated fire safety systems. Among these, the automatic fire extinguisher sprinkler …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 41–46 Read article
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Comparative Analysis of Metamorphic Testing for Service-oriented Software Applications
Abstract: The result execution correctness is executed by software testing, using test oracles. Test oracle is one of the most common problems in case of software testing but if software testing is applicable, it is too much expensive. In this study, triangle classification problem is solved by metamorphic testing. Indeed, the objective of runtime examination is not tied in with computing the specific number of steps needed for discovering an answer. …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 15–25 Read article
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Detection of Air Gap Eccentricity Faults Using Finite Element Analysis (FEA) in BLDC Motors
Abstract: Abstract: - Detection of eccentricity faults has been feasible using physical and vibrational parameters. It is essential to detect and diagnose such faults at the early stage through measurement and monitoring of changes in the magnetic flux of the BLDC motor in the motor windings and stator slots. In this paper, brushless dc motor and its stator, rotor and windings are designed using FEA method .Changes in magnetic flux of …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 1–5 Read article
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Detection of Eccentricity Fault for Induction Motor
Abstract: The study shows that 80% of faults are because of eccentricity in induction motors, advancing numerous research endeavors still gave to the eccentricity in these motors. In this paper, an asynchronous motor under static and dynamic eccentricities with various load levels is modeled utilizing using finite element method (FEM) as FEM is utilized as an intense numerical technique for analysis of defective induction motors. The simulation outcomes demonstrate that due …
Published in Trends in Electrical Engineering · Vol. 8, Issue 2, 2018 · pp. 19–32 Read article
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Bearing Defect Diagnosis: An Approach for Manufacturing Industries Using Wavelet Transform Based Features
Abstract: To maintain reliability in the manufacturing units, industries have concentrated their attention on the condition based maintenance. Fault detection and diagnosis are the two of three condition based maintenance mainstays. Bearing is one of the most important and essential components of the rotating machines. Hence, the researchers have shown their interest in bearing fault detection and diagnosis from the last few years. They mainly use bearing vibration as fault characteristics …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 1, 2017 · pp. 15–21 Read article
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OCL Fault Injection-Based Detection & Prevention of LDAP Query Injection Vulnerabilities
Abstract: Security for web application is a prime concern today. Lightweight Directory Access Protocol (LDAP) is used in web applications for enforcing authentication. It may suffer from LDAP injection vulnerabilities and that leads to some security breaches such as login bypass and privilege escalation. This is because of poor implementation of LDAP applications. Here we propose a technique, OCL fault injection-based detection and prevention of LDAP injection vulnerabilities. Here the design …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 5–8 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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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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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 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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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 · Vol. 12, Issue 4, 2021 · pp. 6–17 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 a Wireless Protection Scheme for Smart-Grid-Based Industrial Systems
Abstract: This paper illustrates the design of an alternative current measuring method which can be used for the protection of electrical machines, especially generators and motors, used in oil and gas industry. A comparison is made between the use of Hall effect sensors and current transformers for fault current detection. Also, different wireless communication methods that can be used in accordance with Hall effect sensors for detecting faulty conditions are discussed. …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 3, 2017 · pp. 30–37 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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Power Swing Detection and Out-of-Step Prediction Using the Equal Area Criterion
Abstract: During the operating conditions, the modern interconnected power systems are more subjected sudden changes, such as faults, network changes due to line trip outs, and disconnection of a large load or of a generating plant. Such disturbances create power swing among the other generators which forces the remaining generators to adjust and settle to new stable conditions. In some cases, the swings are so large that some generators run out …
Published in Trends in Electrical Engineering · Vol. 7, Issue 1, 2017 · pp. 51–60 Read article
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Multisensor Data Fusion based Intelligent Temperature Measurement Technique
Abstract: Design and validation of a temperature measurement technique using fusion of temperature sensor like resistance temperature detector (RTD), and thermistor is proposed in this work. The objective of proposed work is to design a technique using fuzzy logic algorithms to fuse two different sensors having dissimilar characteristics. A fuzzy logic system is trained to produce an output for a temperature measurement system which is (a) more linear input-output characteristics as …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 2, 2014 · pp. 1–13 Read article
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Impact of Thermal Image Preprocessing Methods on a ResNet50 Model Baseline Performance for Ball Bearing Fault Diagnosis
Abstract: Ball bearings are an important part for the operational rotating machinery. To prevent it from failing, traditional engineering uses many methods. One of these is infrared thermography (IRT). IRT is a useful tool that helps monitor the situation without physical contact. But in the current world, various fields use artificial intelligence to do it more accurately & for fast detection. Deep learning models play an important role in fault detection …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 3, 2026 Read article