A survey on anomaly detection for technical systems using LSTM networks
Anomalies represent deviations from the intended system operation and can lead to
decreased efficiency as well as partial or complete system failure. As the causes of …
decreased efficiency as well as partial or complete system failure. As the causes of …
A systematic literature review of IoT time series anomaly detection solutions
A Sgueglia, A Di Sorbo, CA Visaggio… - Future Generation …, 2022 - Elsevier
The rapid spread of the Internet of Things (IoT) devices has prompted many people and
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …
Hierarchical federated learning based anomaly detection using digital twins for smart healthcare
Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart
medical devices and applications used in smart hospitals, smart-home based care, and …
medical devices and applications used in smart hospitals, smart-home based care, and …
Anomaly detection using spatial and temporal information in multivariate time series
Z Tian, M Zhuo, L Liu, J Chen, S Zhou - Scientific Reports, 2023 - nature.com
Real-world industrial systems contain a large number of interconnected sensors that
generate a significant amount of time series data during system operation. Performing …
generate a significant amount of time series data during system operation. Performing …
Anomalykits: Anomaly detection toolkit for time series
This demo paper presents a design and implementation of a system AnomalyKiTS for
detecting anomalies from time series data for the purpose of offering a broad range of …
detecting anomalies from time series data for the purpose of offering a broad range of …
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series
MC Lee, JC Lin - arXiv preprint arXiv:2303.00409, 2023 - arxiv.org
An open-ended time series refers to a series of data points indexed in time order without an
end. Such a time series can be found everywhere due to the prevalence of Internet of …
end. Such a time series can be found everywhere due to the prevalence of Internet of …
An Intelligent Thermal Compensation System Using Edge Computing for Machine Tools
This paper focuses on the use of smart manufacturing in lathe-cutting tool machines, which
can experience thermal deformation during long-term processing, leading to displacement …
can experience thermal deformation during long-term processing, leading to displacement …
Time-series anomaly detection and classification with long short-term memory network on industrial manufacturing systems
Modern manufacturing systems collect a huge amount of data which gives an opportunity to
apply various Machine Learning (ML) techniques. The focus of this paper is on the detection …
apply various Machine Learning (ML) techniques. The focus of this paper is on the detection …
RoLA: A real-time online lightweight anomaly detection system for multivariate time series
MC Lee, JC Lin - arXiv preprint arXiv:2305.16509, 2023 - arxiv.org
A multivariate time series refers to observations of two or more variables taken from a device
or a system simultaneously over time. There is an increasing need to monitor multivariate …
or a system simultaneously over time. There is an increasing need to monitor multivariate …
Salad: Self-adaptive lightweight anomaly detection for real-time recurrent time series
Providing a lightweight self-adaptive approach that does not need offline training in advance
and meanwhile is able to detect anomalies in real time could be highly beneficial. Such an …
and meanwhile is able to detect anomalies in real time could be highly beneficial. Such an …