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Now showing items 11-20 of 25
A methodology and experimental implementation for industrial robot health assessment via torque signature analysis
(MDPI AG, 2020)
This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ...
Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
(MDPI, 2021)
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
Different approaches for the detection of SSH anomalous connections
(Oxford Academic, 2016)
The Secure Shell Protocol (SSH) is a well-known standard protocol, mainly used for remotely accessing shell accounts on Unix-like operating systems to perform administrative tasks. As a result, the SSH service has been an ...
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
(Springer Science+Business Media, LLC, 2022)
Given the growing amount of industrial data in the 4th industrial revolution, deep learning solutions have become popular for predictive maintenance (PdM) tasks, which involve monitoring assets to anticipate their requirements ...
A practical and synchronized data acquisition network architecture for industrial robot predictive maintenance in manufacturing assembly lines
(Elsevier Ltd., 2021)
This manuscript presents a methodology and a practical implementation of a network architecture for industrialrobot data acquisition and predictive maintenance. We propose a non-intrusive and scalable robot signalextraction ...
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge
(Taylor and Francis, 2022)
The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ...
Detection and Visualization of Android Malware Behavior
(Hindawi Publishing Corporation, 2016)
Malware analysts still need to manually inspect malware samples that are considered suspicious by heuristic rules. They dissect software pieces and look for malware evidence in the code. The increasing number of malicious ...
Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation
(IEEE, 2023)
The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the ...
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets
(PeerJ, 2023)
Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness. In particular, we highlight ...
On the use of MiniCPS for conducting rigorous security experiments in Software-Defined Industrial Control Systems
(Springer, 2024)
Software-Defined Networking (SDN) offers a global view over the network and the ability of centrally and dynamically managing network flows, making them ideal for creating security threat detection and mitigation solutions. ...
