A fault detection system based on unsupervised techniques for industrial control loops

[1]  José Luís Casteleiro-Roca,et al.  A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine , 2018, Complex..

[2]  Victoria J. Hodge,et al.  A Survey of Outlier Detection Methodologies , 2004, Artificial Intelligence Review.

[3]  Jeanny Hérault,et al.  Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets , 1997, IEEE Trans. Neural Networks.

[4]  Giansalvo Cirrincione,et al.  The on-line curvilinear component analysis (onCCA) for real-time data reduction , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

[5]  Colin Fyfe,et al.  A Neural Network for PCA and Beyond , 1997, Neural Processing Letters.

[6]  Truong Thu Huong,et al.  Real Time Data-Driven Approaches for Credit Card Fraud Detection , 2018, ICEBA 2018.

[7]  Aníbal Ollero,et al.  Virtual Sensor for Failure Detection, Identification and Recovery in the Transition Phase of a Morphing Aircraft , 2010, Sensors.

[8]  Nei Kato,et al.  Threshold Tuning-Based Wearable Sensor Fault Detection for Reliable Medical Monitoring Using Bayesian Network Model , 2018, IEEE Systems Journal.

[9]  John W. Tukey,et al.  A Projection Pursuit Algorithm for Exploratory Data Analysis , 1974, IEEE Transactions on Computers.

[10]  Shehroz S. Khan,et al.  A Survey of Recent Trends in One Class Classification , 2009, AICS.

[11]  Isaías García,et al.  Formalization and practical implementation of a conceptual model for PID controller tuning , 2011 .

[12]  José Luís Casteleiro-Roca,et al.  Hybrid Intelligent Model to Predict the SOC of a LFP Power Cell Type , 2014, HAIS.

[13]  Fiorella Lauro,et al.  Building Fan Coil Electric Consumption Analysis with Fuzzy Approaches for Fault Detection and Diagnosis , 2014 .

[14]  D. Yeung,et al.  Super-resolution through neighbor embedding , 2004, CVPR 2004.

[15]  Héctor Quintián-Pardo,et al.  An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger , 2016, J. Appl. Log..

[16]  VARUN CHANDOLA,et al.  Anomaly detection: A survey , 2009, CSUR.

[17]  José Luís Casteleiro-Roca,et al.  Modeling the Electromyogram (EMG) of Patients Undergoing Anesthesia During Surgery , 2015, SOCO.

[18]  Jianbin Qiu,et al.  Fault Detection for Nonlinear Process With Deterministic Disturbances: A Just-In-Time Learning Based Data Driven Method , 2017, IEEE Transactions on Cybernetics.

[19]  Héctor Alaiz-Moretón,et al.  PID-ITS: An Intelligent Tutoring System for PID Tuning Learning Process , 2017, SOCO-CISIS-ICEUTE.

[20]  Héctor Quintián-Pardo,et al.  Beta Hebbian Learning as a New Method for Exploratory Projection Pursuit , 2017, Int. J. Neural Syst..

[21]  Elyes Garoudja,et al.  A statistical-based approach for fault detection and diagnosis in a photovoltaic system , 2017, 2017 6th International Conference on Systems and Control (ICSC).

[22]  Nenad Stojanovic,et al.  A data-driven approach for multivariate contextualized anomaly detection: Industry use case , 2017, 2017 IEEE International Conference on Big Data (Big Data).

[23]  Peter D. Wentzell,et al.  Re‐centered kurtosis as a projection pursuit index for multivariate data analysis , 2014 .

[24]  José Antonio López-Vázquez,et al.  Attempts Prediction by Missing Data Imputation in Engineering Degree , 2017, SOCO-CISIS-ICEUTE.

[25]  José Luís Casteleiro-Roca,et al.  An Intelligent Model to Predict ANI in Patients Undergoing General Anesthesia , 2017, SOCO-CISIS-ICEUTE.

[26]  Emilio Corchado,et al.  Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit , 2002, Data Mining and Knowledge Discovery.

[27]  Georg Langs,et al.  Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery , 2017, IPMI.

[28]  Karl Pearson F.R.S..  LIII. On lines and planes of closest fit to systems of points in space , 1901 .

[29]  Álvaro Herrero,et al.  Clustering extension of MOVICAB-IDS to distinguish intrusions in flow-based data , 2017, Log. J. IGPL.

[30]  José Luís Casteleiro-Roca,et al.  Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation , 2017, J. Sensors.

[31]  Erkki Oja,et al.  Principal components, minor components, and linear neural networks , 1992, Neural Networks.

[32]  John W. Sammon,et al.  A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.