Browsing by Research Group "Análisis de datos y ciberseguridad"
Now showing items 1-20 of 28
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Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control
(MDPI AG, 2019)This paper introduces a novel data driven yaw control algorithm synthesis method based on Reinforcement Learning (RL) for a variable pitch variable speed wind turbine. Yaw control has not been extendedly studied in the ... -
An attribute oriented induction based methodology to aid in predictive maintenance: anomaly detection, root cause analysis and remaining useful life
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2019)Predictive Maintenance is the maintenance methodology that provides the best performance to industrial organisations in terms of time, equipment effectiveness and economic savings. Thanks to the recent advances in technology, ... -
Behavioral modeling for anomaly detection in industrial control systems
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2013)In 1990s, industry demanded the interconnection of corporate and production networks. Thus, Industrial Control Systems (ICSs) evolved from 1970s proprietary and close hardware and software to nowadays Commercial Off-The-Shelf ... -
A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance
(Sage Journals, 2019) -
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
(Springer Verlag, 2019)Industrial processes are being developed under a new scenario based on the digitalisation of manufacturing processes.Through this, it is intended to improve the management of resources, decision-making, ... -
Cyber Physical System Based Proactive Collaborative Maintenance
(IEEE, 2016)The aim of the MANTIS project is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems. The platform will allow estimating future performance, predicting and preventing imminent ... -
Drilling test data from new and worn bits
(2019)This directory contains the raw data acquired by Mondragon Unibertsitatea during the execution of drilling tests. These data were used to obtain the results presented in the article "The capacity of statistical features ... -
Early diagnosis of disorders based on behavioural shifts and biomedical signals
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2017)There are many disorders that directly affect people’s behaviour. The people that are suffering from such a disorder are not aware of their situation, and too often the disorders are identified by relatives or co-workers ... -
Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladrado
(Federación de Asociaciones de Ingenieros Industriales de España, 2020) -
From KPI Dashboards to Advanced Visualization
(River Publishers, 2019) -
Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance
(2018)This paper presents the implementation of a refer-ence architecture for Cyber Physical Systems (CPS) to supportCondition Based Maintenance (CBM) of industrial assets. The article focuses on describing how the MANTIS ... -
Introduction
(River Publishers, 2019) -
New approaches for content-based analysis towards online social network spam detection
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2016)Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. Although spam filtering techniques are capable of detecting significant percentage of the spam messages, the problem is ... -
Nuevos Paradigmas de Análisis Basados en Contenidos para la Detección del Spam en RRSS
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2018)Tesis doctoral realizada por Enaitz Ezpeleta Gallastegi en Mondragon Unibertsitatea, dentro del grupo de Sistemas Inteligentes para Sistemas Industriales, dirigida por los Doctores Urko Zurutuza Ortega (Mondragon Unibertsitatea) ... -
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments
(IEEE, 2018)Industrial environments have vastly changed sincethe conception of initial primitive and isolated networks. Thecurrent full interconnection paradigm, where connectivity be-tween different devices and the Internet has become ... -
On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems using Multivariate Statistical Process Control
(IEEE, 2016)Process Control Systems (PCSs) are the operat-ing core of Critical Infrastructures (CIs). As such, anomalydetection has been an active research field to ensure CInormal operation. Previous ... -
Providing Proactiveness: Data Analysis Techniques Portfolios
(River Publishers, 2019) -
SDRS: A new lossless dimensionality reduction for text corpora
(Elsevier Ltd., 2020)In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, ... -
Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis
(World Scientific Publishing, 2017)Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a ...
