Search Results - "Beghi, Alessandro"

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach by Susto, Gian Antonio, Schirru, Andrea, Pampuri, Simone, McLoone, Sean, Beghi, Alessandro

“…In this paper, a multiple classifier machine learning (ML) methodology for predictive maintenance (PdM) is presented. PdM is a prominent strategy for dealing…”
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Assessing the contribution of active somatosensory stimulation to self-acceleration perception in dynamic driving simulators by Bruschetta, Mattia, de Winkel, Ksander N, Mion, Enrico, Pretto, Paolo, Beghi, Alessandro, Bülthoff, Heinrich H

“…In dynamic driving simulators, the experience of operating a vehicle is reproduced by combining visual stimuli generated by graphical rendering with inertial…”
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Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors by Maggipinto, Marco, Pesavento, Elena, Altinier, Fabio, Zambonin, Giuliano, Beghi, Alessandro, Susto, Gian Antonio

“…Embedding household appliances with smart capabilities is becoming common practice among major fabric-care producers that seek competitiveness on the market by…”
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Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances by Zambonin, Giuliano, Altinier, Fabio, Beghi, Alessandro, Leandro dos Santos Coelho, Fiorella, Nicola, Girotto, Terenzio, Rampazzo, Mirco, Reynoso-Meza, Gilberto, Susto, Gian Antonio

“…The aim is to develop soft sensors (SSs) to provide an estimation of the laundry moisture of clothes introduced in a household Heat Pump Washer–Dryer (WD-HP)…”
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Modelling and simulation of wool steaming for the efficient management of decatizing processes by Ferro, Fabiana Federica, Rampazzo, Mirco, Beghi, Alessandro

“…Finishing is one of the fundamental steps of textile production and still, nowadays it largely depends on empirical knowledge. Aim of finishing processes is to…”
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A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study by Maggipinto, Marco, Beghi, Alessandro, Susto, Gian Antonio

“…In manufacturing industries, it is of fundamental importance to detect anomalies in production in order to meet the required quality goals and to limit the…”
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Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing by Sun, Xi, Beghi, Alessandro, Susto, Gian Antonio, Lv, Zhimin

“…•We spatially align the isochronous data obtained from multi-stage rolling process.•A TFL model was crafted and effectively predicted the multiple quality…”
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An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control by Chen, Yutao, Bruschetta, Mattia, Cuccato, Davide, Beghi, Alessandro

“…In recent years, efficient optimization algorithms for nonlinear model predictive control (NMPC) have been proposed, that significantly reduce the online…”
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A Nonlinear, MPC-Based Motion Cueing Algorithm for a High-Performance, Nine-DOF Dynamic Simulator Platform by Bruschetta, Mattia, Maran, Fabio, Beghi, Alessandro

“…The use of dynamical driving simulators is nowadays common in many different application fields, such as driver training, vehicle development, and medical…”
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A static moving boundary modelling approach for simulation of indirect evaporative free cooling systems by Rampazzo, Mirco, Lionello, Michele, Beghi, Alessandro, Sisti, Enrico, Cecchinato, Luca

“…•Modelling and simulation of indirect evaporative free cooling systems are discussed.•A static moving boundary modelling approach is used.•The model is…”
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Designing and teaching of an effective engineering continuing education course: Modeling and simulation of HVAC systems by Rampazzo, Mirco, Beghi, Alessandro

“…Rapid methodological and technological progresses motivate the implementation of continuing education programs. In this scenario, collaboration between…”
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DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology by Maggipinto, Marco, Beghi, Alessandro, McLoone, Seán, Susto, Gian Antonio

“…•A Deep Learning approach for feature extraction in industrial big data is proposed.•DeepVM is completely plug-n-play and naturally deals with 2d data.•An…”
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A multi-phase genetic algorithm for the efficient management of multi-chiller systems by Beghi, Alessandro, Cecchinato, Luca, Rampazzo, Mirco

“…In HVAC plants of medium–high cooling capacity, multiple-chiller systems are often employed. In such systems, chillers are independent of each other to provide…”
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A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems by Simmini, Francesco, Rampazzo, Mirco, Peterle, Fabio, Susto, Gian Antonio, Beghi, Alessandro

“…Several faults affect heating, ventilation, and air conditioning (HVAC) chiller systems, leading to energy wastage, discomfort for the users, shorter equipment…”
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Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis by Carletti, Mattia, Masiero, Chiara, Beghi, Alessandro, Susto, Gian Antonio

“…In the past recent years, Machine Learning methodologies have been applied in countless application areas. In particular, they play a key role in enabling…”
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Assessment of basic control strategies through dynamic simulations: A CO2-based chiller under extreme off-design conditions by Sisti, Enrico, Rossetti, Antonio, Minetto, Silvia, Marinetti, Sergio, Tosato, Giacomo, Beghi, Alessandro, Rampazzo, Mirco

“…Modelling and simulation tools offer peerless possibilities to dominate the increasing complexity of industrial applications, accelerating innovation cycles by…”
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A hidden-Gamma model-based filtering and prediction approach for monotonic health factors in manufacturing by Susto, Gian Antonio, Schirru, Andrea, Pampuri, Simone, Beghi, Alessandro, De Nicolao, Giuseppe

“…In the context of Smart Monitoring and Fault Detection and Isolation in industrial systems, the aim of Predictive Maintenance technologies is to predict the…”
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Graph-based modelling and simulation of liquid immersion cooling systems by Lionello, Michele, Rampazzo, Mirco, Beghi, Alessandro, Varagnolo, Damiano, Vesterlund, Mattias

“…Currently, most of the existing data centers use chilled air to remove the heat produced by the servers. However, liquids have generally better heat…”
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A PSO-based algorithm for optimal multiple chiller systems operation by Beghi, Alessandro, Cecchinato, Luca, Cosi, Giovanni, Rampazzo, Mirco

“…In Heating, Ventilation and Air Conditioning (HVAC) plants of medium-high cooling capacity, multiple chiller systems are often employed. System performance is…”
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Energy efficient control of HVAC systems with ice cold thermal energy storage by Beghi, Alessandro, Cecchinato, Luca, Rampazzo, Mirco, Simmini, Francesco

“…•We design efficient control strategies for HVAC systems with ice cold thermal energy storage.•A model-based approach is employed.•Standard control strategies…”
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