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Context Aware Anomaly Detection for Condition Monitoring of Rolling Element Bearings
Anomaly detection based on machine learning methods has been an active area of research for condition monitoring of rotating machinery. However, the...
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Anomaly Detection in Ultrasonic Monitoring System Using Unsupervised Machine Learning
The development of monitoring and control systems must be carried out to ensure the efficiency and safety of industrial systems. The detection of...
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Multiclass anomaly detection in imbalanced structural health monitoring data using convolutional neural network
Structural health monitoring (SHM) system aims to monitor the in-service condition of civil infrastructures, incorporate proactive maintenance, and...
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Anomaly detection in Structural Health Monitoring using spectral distance and t-SNE–GMM framework under ambient excitation
Structural damage detection is crucial for ensuring the safety and reliability of civil infrastructure. In this paper, we propose a novel...
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A Novel Transformer-Based Anomaly Detection Approach for ECG Monitoring Healthcare System
Anomaly detection plays a crucial role across various domains, including healthcare, where identifying deviations from normal patterns can lead to...
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Artificial intelligence-based adaptive anomaly detection technology for IaaS cloud virtual machines
As infrastructure-as-a-service clouds quickly grow, an increasing number of businesses and people are moving their application development to the...
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Semantic anomaly detection with large language models
As robots acquire increasingly sophisticated skills and see increasingly complex and varied environments, the threat of an edge case or anomalous...
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Learned Anomaly Detection with Terahertz Radiation in Inline Process Monitoring
Terahertz tomographic imaging as well as machine learning tasks represent two emerging fields in the area of nondestructive testing. Detecting...
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Transferable Condition Monitoring for Linear Guidance Systems Using Anomaly Detection
Condition monitoring is essential for the OEE of machine tools. Existing solutions are customized to specific settings. However, linear guidance...
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The impact of sensing parameters on data management and anomaly detection in structural health monitoring
The massive and autonomous structural health monitoring (SHM) of bridges is a problem that is of growing interest due to its importance and...
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Vibration-based anomaly pattern mining for remaining useful life (RUL) prediction in bearings
Predicting the remaining useful life (RUL) of bearings is critical in ensuring rotating machinery’s reliability and maintenance efficiency. Most of...
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Review of anomaly detection in large span bridges: available methods, recent advancements and future trends
During the life-cycle service of the constructed large span bridges, they face various threats every day due to the sophisticated operational...
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Towards intelligent monitoring system in wire arc additive manufacturing: a surface anomaly detector on a small dataset
Rapid developments in artificial intelligence and image processing have presented many new opportunities for defect detection in manufacturing...
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A novel and robust data anomaly detection framework using LAL-AdaBoost for structural health monitoring
The development of structural health monitoring (SHM) on civil infrastructures has resulted in enormous amount of acquired data along with the...
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Video Anomaly Detection for Pedestrian Surveillance
With the increase in video surveillance technology, modern human beings have more viable options to enhance safety, security, and monitoring....
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Machine tool process monitoring by segmented timeseries anomaly detection using subprocess-specific thresholds
Time series data generated by manufacturing machines during processing is widely used in mass part production to assess if processes run without...
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Research on Spacecraft Anomaly Detection Method Based on Data Drive
Monitoring and evaluating of satellite status, timely and effectively finding and handing of anomalies, and ensuring its safe and reliable operation...
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Unsupervised Approaches in Anomaly Detection
Industry 4.0 is a new industrial stage based on the revolution brought about by the integration of information and communication technologies (ICT)...
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Wireless Sensor Networks Anomaly Detection Using Machine Learning: A Survey
Wireless Sensor Networks (WSNs) have become increasingly valuable in various civil/military applications like industrial process control, civil...
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Anomaly Detection Framework
Nowadays the detection of abnormal situations in the process of functioning of information systems is a very important task in emerging technologies...