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514 articles for “Condition Monitoring”
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Condition Monitoring of Drilling Rigs
Abstract: This paper is interned to give improved maintenance of various equipment’s in a deep drilling rig used for drilling exploratory oil and gas wells. Since drilling rigs are capital intensive a need was felt to reduce their maintenance cost and increase their life expectancy. Thus the diagnostic technique like condition monitoring was implemented to diagnose the various problems in the machinery which are caused due to continuous usage. Condition monitoring …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 7–11 Read article
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Condition monitoring and fault diagnosis of gears based on vibration signatures - A review
Abstract: Gearbox is widely used in industrial and military applications. It is subjected to high service load and harsh operating conditions or inevitable fatigue, due to which faults may develop in gears. Fault diagnosis plays an important role in condition monitoring to enhance the machine time. Vibration-based condition monitoring can be applied in gear systems to detect the origination and expansion of fault before the occurrence of failure. Eventually, occurrence of …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 39–45 Read article
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CONDITION BASED MONITORING AND FAULT DIAGONISTICS OF A MACHINE
Abstract: This piece of study shows the existing condition based monitoring and fault diagnostics techniques in a machine. Vibrations are produced in every machine and their amplitude depends upon the type of faults present in the machine, for example, gear fault, journal bearing, rolling contact bearing, flexible coupling and electrical machine faults. The main challenge for the condition monitoring of the machines is the cost and complexity of condition machine monitoring …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 84–89 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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Microclimate Conditions Monitoring using IoT to Maximize Fruits and Vegetables Production
Abstract: AbstractTo save the production cost of the Agro fields and maximizing the economy, production and quality using automation as well as technological advancements. This paper discusses about maximizing the agro-production using control in the microclimate conditions using IIoT (Industrial Internet of Things), yield a healthier crop production with maximum profit. The method includes continuous monitoring of the farm, includes monitoring climate conditions with respect to the crop on the field …
Published in Recent Trends in Sensor Research & Technology · Vol. 4, Issue 3, 2017 · pp. 15–20 Read article
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Algorithm for Selecting Signal Processing Technique in Vibration Based Condition Monitoring System
Abstract: In the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which the signal processing technique is selected. In present work, a comprehensive condition monitoring algorithm is proposed. This algorithm classify the signal according to its behavior …
Published in Trends in Mechanical Engineering & Technology · Vol. 2, Issue 3, 2012 · pp. 1–5 Read article
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DGA Analysis of Transformer Oil with Experimental Investigation: An Effective Tool of Condition Monitoring for Power Transformer
Abstract: Dissolved Gas Analysis (DGA) is usually performed for power transformer condition based maintenance activities. The DGA has become a very popular technique for the monitoring the overall health of a power transformer. It is possible to distinguish faults such as partial discharge, over-heating, and arcing in a great variety of oil filled power transformers. A number of samples must be taken over a period of time to discern trends and …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 2, 2015 · pp. 9–16 Read article
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Condition Monitoring of a Round Bar with a Defect Using Vibration Analysis
Abstract: As an energy-saving and high-efficient stress relieving process, vibratory stress relief [VSR] influence of on fatigue life is still explicit and needs further investigation. Standard specimens are manufactured to study the VSR effects on 2014 T6 aluminum alloy fatigue behavior. Dynamic stresses generated during vibration are measured by strain gauge and the residual stresses with and without VSR are compared to validate the stress relieving effects. Eventually, fatigue tests are …
Published in Trends in Machine design · Vol. 6, Issue 2, 2019 · pp. 5–7 Read article
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Review of Vibration Monitoring Techniques Using Low Cost Sensors and Microcontrollers
Abstract: Healthy condition of machineries sustains and preserves the economy of the industry. Many of the products are manufactured by continual machining processes. Unforeseen failures are unbearable for industries which lead to costly repairs. Efficient supervision for condition monitoring and quick detection of the mechanical faults is a critical assignment in the current business era. Condition monitoring is the practice used to supervise the state of equipment/machineries, so, as to spot …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 33–40 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 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
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WSN and IoT based Network to Monitor Freight Shipping Conditions
Abstract: AbstractWith the advancement in the technology of machine-to-machine communications and wireless sensor systems offering a unique factor for logistic companies, they can locate and track a package from its origin to destination. Additionally, they can also monitor its transportation conditions all through the journey. In today’s world freight shipping industry is booming. The proper devices are very scarce to improve the management process. The available devices are not as intelligent …
Published in Recent Trends in Sensor Research & Technology · Vol. 4, Issue 3, 2017 · pp. 8–14 Read article
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TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals
Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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A Systematic Review of Advanced Composite Materials for High-Performance Spur Gear Applications
Abstract: This is a review which provides specific and detailed information regarding the fiber-reinforced polymer (FRP) composite to replace traditional steel in high-performance spur gears with emphasis on mechanical performance, computational modeling, and experimental validation. Methods: The current literature was thoroughly investigated that includes material properties, material simulation (e.g., finite element analysis, FEA), and experimental gear testing procedures (e.g., DIN 51354, ASTM G99). Certain case studies in the aerospace and automotive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 209–220 Read article
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Developed an Approach to Monitor the Technical Conditions of the Wheels by Measuring the Rolling Stock-track Forces
Abstract: With the rapid development of railway transportation, there is a growing need to improve the method of measuring the impact force exerted by rolling stock on the rail track. Monitoring the technical conditions of the rail track and wheels is crucial. This research aimed to investigate the improvement of existing systems for wheel monitoring during operation and propose a method to develop rolling stock diagnostic systems while the train is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 23–34 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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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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Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 1–8 Read article
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Employing Sweep Frequency Response Analysis for Diagnosing Condition of Power Transformer
Abstract: The power transformer being very expensive plays a tectonic role in power system. Reliability is apogee in power system. Any failure fringing power transformer may lead to substantial monetary loss depending on how much duration it is out of service. On-line monitoring and prognosis of power transformer helps the associated delegate to take decision on subject of maintenance, replacement or continuity of its operation. From accessible vivid methods for condition …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 26–31 Read article
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Polymer-Based Acousto-Optic Ultrasonic Sensor for Non-Destructive Evaluation of Dielectric Insulation
Abstract: A dual-polymer fiber-optic sensor for monitoring partial discharge (PD) activity in high-voltage polymeric insulation is presented in this work for non-destructive evaluation and dielectric testing applications. Dielectric weakness within polymeric insulation leads to partial discharge activity, generating ultrasonic acoustic waves that propagate through the medium. The developed sensing assembly comprises a conical polymer-based horn that gathers and concentrates the ultrasonic acoustic emission energy generated by dielectric weakness, and a single-mode …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 11–24 Read article