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78 articles for “Failure Detection”
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Detecting the Failure Stages in Asphalt Concrete Through the Fatigue Life
Abstract: The signs of failure initiation in asphalt concrete through its service life may appear as cracking, rutting, or other types of distress after practicing dynamic stresses from vehicular loading. This work is concerned with detecting the failure initiation in asphalt concrete in the laboratory, and the role of binder content and constant strain level through a comprehensive testing program. Asphalt concrete mixtures were formulated with the optimal binder content, as …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 21–27 Read article
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Nt-Probnp and Nitrogen Species Measurement As Useful Biomarkers for Detection of Asymptomatic Heart Failure in Patients with Type 2 Diabetes
Abstract: Insidious heart failure is associated or complicated hypertension, coronary artery disease, diabetes, chronic lung disease, atrial fibrillation, renal failure, depression, and anemia. High plasma NT-proBNP level found to be a predictive value in detecting latent left ventricular diastolic dysfunction. The aim of the study is to detect asymptomatic heart failure in outpatient type 2 diabetic patients using plasma NT-proBNP as a diagnostic biomarker of heart failure and nitrogen species as …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 1, 2015 · pp. 8–12 Read article
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Safety braking system to avoid the failure in air brake Hoses
Abstract: The braking system represents one of its most important components of any vehicle, as a failure can result in devastating accidents. This study describes the design and development of an Air Brake Hose Failure Detection and Safety Braking System to address the problem of brake failure in big vehicles. The system monitors the condition of air brake hoses in real-time and provides audio-visual alerts to the driver in case of …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 51–55 Read article
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Integrating Sensor Technologies and Machine Learning for Detection and Mitigation of Structural Deformity and Slope Failure in Opencast Mines
Abstract: With furtherance in the mining industry, accidents due to slope failure are frequent in mining sites. Slope instability, a complex process, seriously threatens the miner’s life and properties. The damage inflicted by slope failures in the recent past has pulled the attention of authorities toward implementing disaster risk reduction measures. This research aims to develop an innovative approach that combines sensor technologies and machine learning techniques to detect and mitigate …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 38–45 Read article
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INDUCTION MOTOR FAULT DETECTION USING IoT
Abstract: The induction motor failure detection system proposed in this research is based on the Internet of Things and uses an ESP32, vibration, current, temperature, IR, and Blynk app. An Internet of Things (IoT)-based fault detection system uses sensors to monitor the motor's condition and transmits the information to a cloud-based platform. The cloud-based software may then analyze the data to identify issues and alert maintenance personnel.An overview of an Internet …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 Read article
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A Comprehensive Study Utilizing Patterned Fabric Images and Detection Techniques with OpenCV and Edge Detection
Abstract: This project offers a comprehensive overview of recent advancements in autonomous fabric failure detection methods, a critical aspect of quality control in the textile industry. Detecting flaws in fabric is an increasingly vital automation challenge. The project evaluates the effectiveness of a proposed method by analyzing patterned fabric images featuring typical flaws. The performance of the proposed approach is assessed across various types of fabric flaws. Additionally, the project tests …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 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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UNDERGROUND CABLE FAULT DETECTION CAR
Abstract: Abstract:-Underground cables along with additional buried assistance can be identified and examinedusing an apparatus known as a cable detector. This is carried out by passing a signal into the earth andthen receiving it back through an antenna. Utilising the received signal endurance, the exact positionand depth of the underground question are found. In doing mining and construction work, this helpsprevent unintended injuries. There are numerous different types of underground cable …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 17–21 Read article
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Risk Analysis of Infrastructure Projects - Case of Mumbai Metroline 1
Abstract: The study attempts to identify key risk factors during the execution phase of the Elevated Mumbai Metro Project by administering a structured questionnaire to professionals with substantially long work experience on different projects and extensive review of academic and industry literature. The various risks identified are categorized as related to client, contractor, consultant, material, labour, equipment and external risks. They are further evaluated by applying Failure Mode and Effect Analysis …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 3, 2019 · pp. 16–29 Read article
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A Review on Leak Detection Techniques in Water Distribution Systems
Abstract: AbstractWater is an important resource. Water distribution network (WDN) which includes pipes is used to transport water from water treatment plants to homes. Every water distribution system (WDS) fails partially or completely during its lifetime. This paper gives the in-depth review of leakages caused in WDS. It provides the overview of various techniques implemented towards the occurrence and localization of leaks. This paper organized and classified the techniques into different …
Published in Recent Trends in Fluid Mechanics · Vol. 5, Issue 2, 2018 · pp. 23–29 Read article
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A Resource Efficient Fast Recovery Strategy for Survivable WDM Networks
Abstract: ABSTRACT In WDM networks when failure occurs, huge amount of data is lost in a fraction of second. Therefore, the failed connection request must be re-routed through backup route as soon as possible. For achieving fast connection recovery, the primary lightpath is either link or segmented protected. However, the strategies result in inefficient utilization of resources. In this paper, we present a resource efficient parallel signaling-shared path protection (PS-SPP) based …
Published in Trends in Opto-electro & Optical Communication · Vol. 2, Issue 1, 2012 · pp. 1–17 Read article
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Simulation and Experimental Analysis of Abuse Testing for Prediction of Life Cycle for Lithium Ion Battery Cell and Pack Level
Abstract: Lithium-ion batteries play a crucial role in contemporary technology, serving as the power source for everything from consumer gadgets to electric vehicles. However, their safety and longevity are significant influenced by the reperformance under extreme conditions, commonly referred to as ab use testing .This paper explores the simulation and analysis of ab use testing and life cycle prediction for lithium-ion batteries at both the cell and pack levels. Abuse testing …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 1–24 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Analysis and A.I. Modelling of Parameters of Symmetrical Multistory Building using Non-linear Static Analysis
Abstract: Non-linear static analysis (Push over Analysis) is the emerging field in seismic design of structures.The major drawback of elastic analysis is that the response beyond the linear state is neither linearnor simple extrapolation. Although elastic analysis gives a good indication of the elastic capacity ofstructures, but it cannot account for redistribution of forces during progressive yielding of a structurethat follows and to predict its failure mechanism or detect possible location …
Published in Journal of Construction Engineering, Technology & Management · Vol. 11, Issue 1, 2021 · pp. 1–15 Read article
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Early Heart Failure Recognition for Infants Using Machine Learning
Abstract: The care of newborn infants remains a significant responsibility for healthcare professionals, as ensuring infant survival can often be complex and demanding. Conditions such as heart failure and cardiac arrest in infants are life-threatening and require prompt diagnosis and treatment. Detecting cardiac problems at an early stage can greatly enhance survival outcomes and minimize serious complications. In recent years, machine learning (ML) approaches have become valuable tools for predicting cardiovascular …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Automatic Brake Failure Indication with Auxiliary Braking System
Abstract: Accidents in vehicles often happen due to diverse factors, with brake failure being a significant contributor resulting from inadequate maintenance and product defects. To protect human lives and reduce the risk of accidents, effective monitoring of brake systems is vital in the automotive industry. Vehicle safety encompasses not only the prevention of accidents but also the mitigation of their adverse effects on human health. Today’s cars come with innovative safety …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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Geotechnical study of a landslide reactivation in clay soils (central Piedmont, NW Italy).
Abstract: In March 2015, exceptional meteoric events occurred in southern Piedmont caused a remarkable rise of the rivers water level of the Tanaro Basin with flooding and many landslides. The engineering geological study reported here, concerns a triggering of a previous landslide occurred in 1982 in the hills, shaped in the marine sedimentary succession (Lugagnano Clay, lower Pliocene) of the southern Asti Reliefs, near San Martino Alfieri village. Detailed geological, morphological …
Published in Journal of Geotechnical Engineering · Vol. 7, Issue 1, 2020 · pp. 21–36 Read article
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Log Identification and Monitoring System Using Generative AI
Abstract: In contemporary software ecosystems, application and infrastructure logs play a vital role in ensuring system reliability, performance optimization, fault diagnosis, and security compliance. As applications become increasingly distributed and cloud native, the volume, velocity, and variety of generated log data have grown dramatically. This rapid expansion makes traditional manual log inspection inefficient, error-prone, and largely impractical. To address these challenges, this paper proposes an artificial intelligence (AI) driven log monitoring …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 08–16 Read article