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31 articles for “Predictive Maintenance”
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Advancements in Predictive Maintenance: A Review of Data-Driven Approaches, Machine Learning, and AI in Diverse Industrial Landscapes
Abstract: The Internet of Things (IoT), the use of machine learning (ML), and artificial intelligence (AI)-driven advances in predictive maintenance are the key topics of this study. With the goal of offering a thorough grasp of existing approaches and potential future developments, it analyzes applications in predictive maintenance in many sectors. Predictive maintenance approaches are the major topic of discussion, with an emphasis on their advantages, disadvantages, difficulties, and prospects. Additionally, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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Predictive Maintenance of 6G Infrastructure Using Artificial Intelligence
Abstract: The transition to Sixth Generation (6G) wireless infrastructure introduces unprecedented complexity, characterized by massive densification, reliance on the Terahertz (THz) spectrum, dynamic cell topologies driven by Reconfigurable Intelligent Surfaces (RIS), and stringent requirements for Ultra-Reliable Low-Latency Communication (URLLC). Traditional reactive or fixed-schedule maintenance protocols are fundamentally inadequate for sustaining the necessary service continuity and energy efficiency in this hyper-connected, heterogeneous environment. This paper explores the critical role of Artificial Intelligence …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 Read article
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Industrial IoT Based Health Monitoring System of Motor and Transformer
Abstract: This research presents an Industrial IoT-based health monitoring system tailored for motor and transformer components in industrial environments. Integrating advanced sensors, microcontrollers, and MQTT communication, the system enables real-time monitoring and predictive maintenance. Accurate measurement of critical parameters, coupled with effective anomaly detection algorithms, empowers operators to pre-emptively address potential equipment failures. The system's reliability and effectiveness in optimizing equipment reliability and minimizing downtime offer a promising solution for industrial …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 1, 2024 · pp. 13–19 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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IoT-Based Battery Management System for Electric Vehicles
Abstract: Electric vehicles (EVs) are becoming increasingly popular due to rising fuel costs and environmental concerns in contemporary applications, where energy storage systems power a wide range of devices, from small gadgets to big electric vehicles and renewable energy grids, efficient battery management is becoming more and more crucial. This study proposes the design and implementation of an Internet of Things (IoT)-based battery management system (BMS) that can continually monitor vital …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Service and Maintenance (S&M): Challenges, Issues and Concerns in Electrical and Electronics Industry
Abstract: The purpose of this short note is to present the service and maintenance aspects, issues, concerns and challenges by reviewing the present literature, providing insights and procedures leading to the strategies of business models. The fundamentals of service and maintenance (S&M) in the electrical and electronics industries have been identified and highlighted with modern techniques and systems incorporating the “smart sensors”, life extension programmes for equipment and instruments. The impact …
Published in International Journal of Electrical Power System and Technology · Vol. 4, Issue 2, 2018 · pp. 28–31 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 Read article
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Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis
Abstract: On-load tap changer (OLTC) is very important for maintaining or regulating output voltage, but it has moving contact & complex switching mechanisms which contributes to the failure of on-load tap changer. Faults in OLTC such as Coking Contact wear and damaged transition resistors significantly reduce reliability of transformers which may lead to catastrophic failures of transformers. There are some traditional approaches for diagnostics of OLTC, such as Static Resistance Measurements, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Optimizing Power Quality and System Efficiency in Wind Energy Conversion Systems for Enhanced Stability and Robust Integration with the Electrical Grid
Abstract: Wind energy is becoming one of the fastest growing renewable source in the world. It is clean and low cost, but when wind system connects to electrical grid there are many challenges like voltage fluctuation, harmonics, power loss and less stability. Power quality and efficiency problem make difficulty for strong integration with grid. For this reason, many research work is going on in area of condition monitoring, converter design, storage …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Cloud-Based IoT Monitoring System for Pump Canal Operations: A Case Study of Narayanpur Pump Canal, Mirzapur
Abstract: Abstract The technical paper presents a comprehensive analysis of the Internet of Things (IoT)-based cloud monitoring system deployed at the Narayanpur Pump Canal (NPC), Chunar, Mirzapur, Uttar Pradesh. The system, operationalized in September 2024, provides real-time remote monitoring of 15 critical parameters across 14 pump sets through cloud-based analytics, automated alerts, and intelligent dashboards. The paper evaluates the technical architecture, demonstrated operational benefits – including a documented case of preventing …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 49–68 Read article
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High-Tech Battery Management Systems with Integrated Battery Electronics
Abstract: “Sophisticated BMSs with onboard battery electronics are a paradigm shift in battery technology, sensitive enough to meet the increasing needs of contemporary applications like electric vehicles, renewable energy storage, and portable devices. This paper discusses the architecture and functional aspects of the integrated systems in optimizing performance, safety, and lifespan through real-time monitoring and control of individual cells. Integrating critical electronics directly onto the battery structure, such systems minimize complexity …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 · pp. 21–28 Read article
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Robust Power Supply Design and Parameter Monitoring of Electrostatic Precipitator
Abstract: This paper focuses on the development of a high-performance power supply system tailored for electrostatic precipitators (ESPs) to improve their efficiency in industrial applications. The proposed system converts alternating current (AC) to direct current (DC) using an AC to DC converter, followed by a boost converter to elevate the output voltage to the levels required for effective ESP operation. The boost converter ensures the output voltage remains stable, compensating for …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 2, 2025 · pp. 62–68 Read article
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Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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A Study on Sensors in Metallurgy Applications
Abstract: The relentless pursuit of efficiency, quality, and sustainability within the metallurgical industry hinges on unprecedented control over its often extreme and dynamic processes. This control is progressively realized through the strategic deployment of advanced sensor technologies. This paper explores the pivotal role of sensors in modern metallurgy, spanning from the raw material stage to the final product. It highlights how sensors, by providing real-time, accurate, and often non-intrusive data, are …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 14–26 Read article
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A Sensor Integrated Tool for Cutting Force Monitoring in Gantry Milling to Improve Flatness and Surface Finish: Review Study
Abstract: AbstractPrecision machining of sector plates plays a vital role in the efficient functioning of Air Pre-Heaters(APH), which are integral components of thermal power plants. These plates are subjected to harshthermal cycles and mechanical loads, making dimensional accuracy critical. For optimal heatexchange performance and mechanical reliability, it is essential to maintain tight manufacturingtolerances – flatness within ±400 microns and thickness up to 13 mm. Deviation from theseparameters can lead to air …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 25–45 Read article
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Smart Agriculture Using IoT: A Paradigm Shift in Modern Farming
Abstract: The rapid advancements on the Internet of Things (IoT) have revolutionized agriculture by integrating sensors, automation, and data analytics to enhance productivity, resource efficiency, and sustainability. With growing challenges such as climate change, population growth, and the need for efficient resource management, IoT-driven smart agriculture presents a transformative approach to modern farming. By leveraging IoT-enabled devices, farmers can gain real-time insights into soil conditions, weather patterns, crop health, and resource …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 33–37 Read article
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IoT-Driven Crane Management: Enhancing Efficiency Through Broadband Connectivity
Abstract: To address the challenges of scrap management and detect discrepancies in scrap loading and unloading, the system should include the following features: Operator Login: Implement a secure login system for operators to monitor individual performance and activity. Dashboard: Provide a dashboard for real-time monitoring of both operator performance and overall process efficiency. Data Collection: Gather data using existing weight sensors and the installed module. Separate Console and Server: Set up …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article