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A one-class classifier based on a hybrid topology to detect faults in power cells
(Oxford University Press, 2022-08-01)
[Abstract]: The use of batteries became essential in our daily life in electronic devices, electric vehicles and energy storage systems in general terms. As they play a key role in many devices, their design and implementation ...
A novel method for anomaly detection using beta Hebbian learning and principal component analysis
(Oxford University Press, 2023-04)
[Abstract] In this research work a novel two-step system for anomaly detection is presented and tested over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta Hebbian Learning algorithm, ...
Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring
(Vilnius University, 2019)
[Abstract] The present research shows the implementation of a virtual sensor for fault detection with the feature of recovering data. The proposal was implemented over a bicomponent mixing machine used for the wind generator ...
A fault detection system based on unsupervised techniques for industrial control loops
(Wiley, 2019-08)
[Abstract] This research describes a novel approach for fault detection in industrial processes, by means of unsupervised and projectionist techniques. The proposed method includes a visual tool for the detection of faults, ...
Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices
(Oxford University Press, 2024-04)
[Abstract] This paper aims to enhance security in IoT device networks through a visual tool that utilizes three projection techniques, including Beta Hebbian Learning (BHL), t-distributed Stochastic Neighbor Embedding ...
Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach
(Oxford University Press, 2024-05-09)
[Abstract] Batteries are a fundamental storage component due to its various applications in mobility, renewable energies and consumer electronics among others. Regardless of the battery typology, one key variable from a ...
Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems
(Oxford University Press, 2024)
[Abstract] The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time ...
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling
(MDPI, 2019)
[Abstract] The hotel industry is an important energy consumer that needs efficient energy management
methods to guarantee its performance and sustainability. The new role of hotels as prosumers
increases the difficulty ...
A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport
(Wiley, 2024)
[Abstract]: One of the most common attacks is man-in-the-middle (MitM) which, due to its complex behaviour, is difficult to detect by traditional cyber-attack detection systems. MitM attacks on internet of things systems ...
A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport
(Wiley, 2024-02)
[Abstract]: One of the most common attacks is man-in-the-middle (MitM) which, due to its complex behaviour, is difficult to detect by traditional cyber-attack detection systems.
MitM attacks on internet of things systems ...