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67 articles for “Fault identification”
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Fault Identification by Wavelet Feature Extraction in Self Aligning Rolling Element Bearings Using Neural Networks
Abstract: This paper aims to present a comparison of different individual defects in self aligning ball bearings by the use of statistical tools and machine learning techniques like artificial neural network (ANN). The results generated are analyzed, and more realistic conformance to the theoretical observations has been drawn. Vibration analysis of a fault affected component gives a good understanding of machine diagnostics. Inner race and outer race defects have been studied …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 11–17 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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Deploying an IoT-Enabled Smart Grid Automation System for Continuous Optimization and Fault Identification
Abstract: The proposed paper discusses the “integration of IoT in smart grid” which has been elevated facilitating new ideas to facilitate developments of infrastructure for electric power. IoT has been a very important tool for power grids which makes them smarter and more advanced as compared to traditional power grids. This paper focuses on to the prototype designing which will help in finding and monitoring the power, current, voltage, energy consumption, …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 1, 2024 · pp. 01–8 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 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 · pp. 9–25 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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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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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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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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A review of the employing of Wavelet transforms and Classifier Artificial intelligence (AI) methods for detecting power transmission difficulties
Abstract: Power systems use large interconnections to transmit and distribute electric power. For power transmission, the same voltage levels are used for minimum transmission losses. During power transmission faults may occur due to natural events such as lightning, strong wind, fire etc. Faults may occur between phase conductors to ground or between the phase conductors. Transmission line protection has been performed using the comparison of voltages and currents and activates the …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 36–41 Read article
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Fallacious Reasoning (Emphasizes the flawed or misleading nature of the reasoning)
Abstract: It is essential to recognize that faulty reasoning and & faulty logic denote the same principle, both indicating a deficiency in reasoning. The term faulty denotes the presence of errors or imperfections, while logic pertains to sound reasoning or judgment. Faulty logic can also be seen as a rhetorical technique. This paper demonstrates how incorrect or misleading answers can ultimately guide us toward accurate conclusions. By honing the ability to …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 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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IoT Based Real-time Monitoring of Solar Power Plant
Abstract: The Internet of Things used in solar power generation to improve the functioning, monitoring, performance, and maintenance of solar power plants. The method is to monitor the dust in the solar panel to achieve maximum power. Using IoT technology, it monitors solar panel loads by data for remote users. The application can obtain data on current and past average matrices such as voltage, temperature, current. The cost of renewable energy …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 12, Issue 1, 2021 · pp. 43–47 Read article
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MEMS Sensors in IoT Applications
Abstract: IoT is a system which connects objects and users via internet. Things can be much more simplifiedusing MEMS technology where they can operate with Ultra low power and can provide accurateresults in a convenient method. MEMS can improve traditional technologies involved in IoT. Thispaper focuses on energy harvesting, performance of MEMS sensors, fault identification, smartcommunication and MEMS switching technology. As we know that IoT devices are well equipped incertain areas …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 1, 2021 · pp. 18–22 Read article
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Predictive and Degradation Analysis in the Life-Cycle of Monocrystalline and Multicrystalline Photovoltaic Modules using Electroluminescence Imaging & Monitoring Studies
Abstract: AbstractSolar Technology is the cynosure of all eyes in this global era. With major thrusts towards decarbonization, improving the overall efficiency of Solar Modules is the most coveted thing in this arena. The efficiency of a Solar panel ranges between 18-25 % when it is in good working condition. There are several causes of the efficiency decreasing further. A solar panel is susceptible to a lot of damages, ranging from …
Published in Journal of Semiconductor Devices and Circuits · Vol. 7, Issue 2, 2020 · pp. 23–27 Read article
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Design Fault Management using DS Fault Scrutinize and DCE Diversy Model
Abstract: Day by day the numbers of software systems are increasing in IT Industry, but the successful software developing is very low as per enrollment of system. There are various crucial reasons behind it. One of them is fault reside or arise within system. Faults can reside and arise anywhere anytime. In this research, the requirement writing to design creation of system is represented with few supported elements to enhance the …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 8–14 Read article
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Technical challenges for using E-rickshaw as a mode of transport on Indian Roads
Abstract: Electric three-wheelers or e-rickshaws in a very short span have emerged as a economic and environment friendly mode of public road transport in India. Their numbers has increased exponentially in the absence of organized players and no government policy. Local manufactures prepare designs according to the market needs neglecting the safety and technical aspects and thus putting the life of users and other road commuters in danger. This research paper …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 31–40 Read article
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A Complete Study of Different Models for Software Fault Prediction
Abstract: Context- Software faults prediction improves software quality, software reliability, and software efficiency by early identification of faults. Numerous classification methods have been suggested for this task.Objective- The main objectives of the studies are (i) find the number of defects in AEEEM defect datasets, (ii) Challenges faced with Imbalanced Datasets.Method- We use AEEEM defect datasets for the prediction of faulty classes using four deferent machine learning technique. This particular paper present …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 1–10 Read article
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Neuro-Fuzzy Technique Based Fault Diagnosis in Shell and Tube Heat Exchanger
Abstract: In order to transfer heat between two different medium or else the same medium heat exchanger is used. It is most widely used in oil refineries and other large chemical processes, and it is also suitable for high-pressure applications. Because of the change in process parameters, the general warmth exchange rate will be reduced in the heat exchanger. In order to rectify it, the possible faults developed in the heat …
Published in Journal of Instrumentation Technology & Innovations · Vol. 6, Issue 2, 2016 · pp. 21–27 Read article
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Underground Cable Fault Detector and Locator Using Arduino
Abstract: AbstractIn urban areas, electrical cables run underground instead of running over, because it does not get affected by any adverse effect of weather such as storm, snow, ice, heavy rainfall as well as pollution. While a fault occurs within the underground cable, it is difficult to detect the exact location of the fault for the repair process of the particular cable. This system can find the point of the exact …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 1, 2019 · pp. 19–27 Read article