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95 articles for “maintenance techniques”
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Strategy for Improving Software Maintenance Using Machine Learning for Security Requirements: A Review
Abstract: Within the area of software technical education, the significance of software defect discovery has increased as a research focus to enhance program reliability. By maximizing testing resources and assisting developers in identifying potential problems using program defect predictions, program dependability is increased. Applying software engineering (SE) techniques to critical and intricate systems, like networking and security systems, is imperative. Traditional methods of predicting software maintainability have limitations, particularly in balancing …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 36–48 Read article
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Detection and Assessment of Structural Weaknesses in Existing Offshore Structures
Abstract: The structural integrity and serviceability of existing structures may deteriorate over time due to aging, environmental exposure, material degradation, overloading, inadequate maintenance, and repeated operational stresses. Early identification of structural deficiencies is essential for preventing progressive damage and ensuring safe and reliable performance throughout the service life of a structure. This study presents a systematic structural condition assessment of an existing structure using visual inspection and non-destructive testing (NDT) techniques. …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 2, 2026 · pp. 52–69 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Effect of Corrosion on Flexural Strength of Reinforced Concrete Beam: An Experimental Study
Abstract: AbstractThe main aim of this experimental study is to investigate the effect of corrosion on reinforced concrete beams, particularly on load deflection behavior, load carrying capacity and crack width by using with or without epoxy coating on the steel surface. Accelerated corrosion technique was adopted to corrode the beam experimentally. The corrosion was measured using the Open Circuit Potential (OCP) measurement instrument. A total of 14 simply supported beam specimens …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 1–7 Read article
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Design and Development of a Smart Automated Packaging System for Poultry Drumsticks
Abstract: The present work aims to design and implement an automated packaging system for poultry drumsticks that enhances operational efficiency, product quality, and adaptability. The integrated system offers a solution that complies with industrial quality and safety standards by sorting products, getting accurate weighing, and efficiently portioning food into 1-kilogram standardized units. By effectively reducing human involvement, operational inefficiencies, workforce requirements, and contamination hazards, the automation system becomes sufficiently adaptable to …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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RF Energy Harvesting Techniques for Wireless Sensor Networks
Abstract: In contemporary applications like environmental monitoring, healthcare systems, industrial automation, agriculture, military surveillance, and smart cities, Wireless Sensor Networks (WSNs) are crucial. However, the limited battery life of sensor nodes remains a major challenge because many sensor devices are deployed in remote or difficult-to-access locations. Frequent battery replacement or recharging increases maintenance cost, reduces network reliability, and limits long-term operation. In contemporary applications like environmental monitoring, healthcare systems, industrial automation, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Progress of Zeolite in Water Softening Treatment
Abstract: In the discourse of water treatment, one naturally stumbles upon zeolite, a versatile mineral that plays a pivotal role in softening water. This indispensable process arises from the abundant presence of divalent ions, notably calcium and magnesium, which are notorious for contributing to water hardness, an issue that manifests as scale build up within crucial components like boiler and heat exchanger pipelines. The prevalence of scale not only compromises the …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 3, 2024 · pp. 45–51 Read article
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Advanced Water Purification Techniques for Sustainable Clean Water Management: A Comprehensive Review
Abstract: The growing global demand for safe drinking water, coupled with increasing pollution from industrialization, urbanization, and agricultural activities, has intensified the need for efficient and sustainable water purification technologies. Conventional water treatment processes often fail to remove emerging contaminants such as pharmaceuticals, microplastics, endocrine-disrupting compounds, and heavy metals. Advanced water purification technologies—including membrane filtration, advanced oxidation processes (AOPs), nanotechnology-based adsorbents, photocatalysis, electrochemical treatment, and bio-inspired purification systems—have emerged as promising …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 47–52 Read article
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Condition Monitoring of Power Transformer Using Different Techniques
Abstract: Transformer is one of the key equipment of the power system. Power rating of the transformers varies from KVA to several hundreds of MVA. The transformer is an expensive equipment of the power system. Failures of transformer usually lead to substantial profit loss to the utility, potential environmental damage, explosion and fire hazards and expensive repairing or replacement costs; thus, it is desirable that the maximum service life of transformer …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 1–8 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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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Adverse Drug Reactions and Pharmacovigilance of Herbal Medicines in India
Abstract: The use of ayurvedic medicines is popular in India and in recent times has become accepted in other countries. Associated with this increasing use, are growing concerns about the safety of ayurvedic medicines. This paper discusses in brief the ayurvedic concepts of adverse reactions to medicines, the need for pharmacovigilance of ayurvedic medicines, challenges in introducing pharmacovigilance in ayurveda and some recommendations to successfully implement these activities. Pharmacovigilance is the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 5, Issue 1, 2016 · pp. 10–13 Read article
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Petroleum Engineering’s Future in a Changing Energy Environment
Abstract: Concerns about climate change, rapid technological advancement, and the expanding deployment of renewable energy sources are driving a profound transformation in the global energy sector. Within this evolving landscape, petroleum engineering remains a critical discipline, ensuring a reliable and efficient energy supply while adapting to increasingly stringent sustainability expectations. This article examines the future trajectory of petroleum engineering by analyzing how digitalization, advanced reservoir characterization, and enhanced oil recovery techniques …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 61–66 Read article
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Buck-Boost Chopper Control of Induction Motor Drive using Slip Power Recovery Scheme and LC Filter
Abstract: Industrial drive applications require rugged, low maintenance and simple constructed motors which are the features of induction motor. Speed control of SRIM can be accomplish by using either of the control technique i.e. rotor resistance control, inverter control & chopper control. This paper presents the improvements in the performance of SRIM drive offered by slip power recovery scheme using buck-boost chopper control technique with LC filter. The simulation model of …
Published in Trends in Electrical Engineering · Vol. 12, Issue 3, 2022 · pp. 42–59 Read article
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An Efficient LoRa-Enabled Fault Detection Using Self-Powered IoT Device
Abstract: This study describes a revolutionary internet of things (IoT) solution for effective defect detection in a variety of applications. By utilizing an IoT device that generates energy from the surroundings, the suggested solution gets around the drawbacks of conventional battery-operated gadgets. The suggested approach makes use of a self-sustaining IoT gadget that can capture energy from the surroundings to get beyond the drawbacks of conventional battery-powered IoT devices. Longer functioning …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–13 Read article
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Application of Evaporative Cooling in Mushroom Farming: A Tube in Tube Type Evaporative Cooler
Abstract: The effort focuses on mushroom production using evaporative cooling. It has various advantages over conventional cooling techniques, including the ability to drop the temperature based on environmental conditions, the usage of 80 percent less energy than air conditioning, and the cost and maintenance requirements. With proper preparation, evaporative cooling in agriculture can assist lower the temperature and high relative humidity. Also, it helps in storing goods in cold storage using …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 1, 2022 · pp. 25–29 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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A Review on Applications of Lean Manufacturing Principles
Abstract: This paper has been written for analyzing the policy of the lean manufacturing and identifying its scope by waste reduction techniques. Various concepts of lean manufacturing are analyzed to explore the manufacturing process. Various articles are studied to explore the use of lean principles and techniques to identify the waste. In these literature studies, some of the authors have focused on value stream mapping for analyzing the system, and many …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 1, 2016 · pp. 6–9 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article