Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial

La Universitat Politècnica de Catalunya. Barcelona Tech (UPC) és una institució pública de recerca i d'educació superior en els àmbits de l'enginyeria, l'arquitectura i les ciències.

L’activitat dels seus campus i centres fan de la UPC un punt de referència i, en complicitat amb el teixit productiu, són agent i motor de canvi econòmic i social, en posar en valor la recerca bàsica i aplicada i transferir tecnologia i coneixement a la societat.

Els investigadors i investigadores de la UPC treballen des dels laboratoris i centres de recerca per augmentar la producció científica, valoritzar-la socialment a través de la transferència de resultats i continuar liderant projectes internacionals d’excel·lència, ja sigui a partir d’iniciatives pròpies o en col·laboració amb altres centres de recerca i universitats d’arreu del món.

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Portal de la producció científica dels investigadors de la UPC.

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Portal d'accés obert al coneixement de la UPC


Si sou doctor o doctora per la Universitat Politècnica de Catalunya i voleu publicar la vostra tesi a TDX, contacteu amb tdx@upc.edu. Per a més informació consulteu les preguntes més freqüents

Envíos recientes

Characterization of a novel HgCdTe focal plane array for ground and space astronomy through innovative infrared setups 

Jiménez Rojas, Jorge Iván (Fecha de defensa: 2023-06-14)

(English) Nowadays, mercury-cadmium-telluride (MCT) short-wave infrared (SWIR) detectors are widely used in cutting-edge space missions and ground-based telescopes. They take advantage of the fact that the dust and gases ...

Modeling and control for a fuel cell system 

Xing, Yashan (Fecha de defensa: 2021-07-01)

(English) Fuel cells are electrochemical devices to covert hydrogen and oxygen into electrical energy and heat. However, the degradation during the operation can reduce a fuel cell lifetime which is the major obstacle for ...

Leak detection and localization in pipeline networks using machine learning and principal component analysis 

Santos Ruiz, Ildeberto de los (Fecha de defensa: 2021-06-11)

(English) This thesis presents a methodology to locate leaks in pipeline networks, with a focus on water distribution networks. Leak localization techniques using classifiers are proposed by associating the different classes ...

The surface defect identification problem in the industry: a novel approach with semantic segmentation and generative adversarial networks 

Orti Navarro, Joan (Fecha de defensa: 2024-05-10)

(English) Surface inspection of coated surfaces in the automotive industry, traditionally has been a manual process in charge of keen eye operators in charge of inspecting the whole car body. However, as might be deducted, ...

Caracterització multiescala de dades fisiològiques en la cardiologia translacional 

Marimon Serra, Xavier (Fecha de defensa: 2023-12-22)

(English) This thesis aims to explore cardiac cell physiology across various scales, also known as translational cardiology. The research employs novel computational techniques from Biomedical engineering and utilizes ...

AI-enhanced cyber-physical systems in automotive industry : integration of CPS and application artificial intelligence technologies in automotive paint shop process 

Sanz Gràcia, Elma (Fecha de defensa: 2023-11-09)

(English) Transformation of industrial processes to embrace Industry 4.0 revolution needs to use data: valuable data from different data sources, labelled data, semantic layers, metadata to understand better, universes, ...

Contributions to LPV control under time-varying saturations 

Ruiz Royo, Adrián (Fecha de defensa: 2023-11-20)

(English) This thesis presents contributions to the state-of-the-art in the field of gain-scheduling control, with special emphasis on linear parameter-varying (LPV) systems and the presence of time-varying saturations. ...

Fault diagnosis in wind turbines using machine learning techniques 

Pérez Pérez, Esvan de Jesús (Fecha de defensa: 2023-11-30)

(English) In recent years, wind power has emerged as a promising alternative to fossil fuels, with wind turbines widely used to generate clean energy. However, like complex machinery, wind turbines are prone to faults that ...

US signal and image monitoring and diagnosis using computer vision and deep learning 

Farahi, Maria (Fecha de defensa: 2023-11-03)

(English) This thesis presents a comprehensive investigation of the reliability and efficacy of Ultra-Sound (US) signals and images for remote monitoring and early diagnosis in medical applications. The main objective of ...

Optimización de recursos intralogísticos en entornos industriales para su uso en vehículos autónomos 

Vargas Martín, Elliot (Fecha de defensa: 2023-10-31)

(English) The introduction of autonomous vehicles in intralogistics has significantly increased in recent times. However, in the industry, a single autonomous vehicle is often not used, but several of them are needed to ...

Crutch gait patterns characterization through spatial and temporal parameters 

Narváez Dorado, Marien Cristina (Fecha de defensa: 2023-09-29)

(English) Crutches are widely used as assistive walking devices for a diverse population. They are often prescribed by clinicians/therapists to help offload the lower extremities for individuals with impairments. They can ...

Surgical subtask automation for intraluminal procedures using deep reinforcement learning 

Pore, Ameya Ravindra (Fecha de defensa: 2023-07-27)

(English) Intraluminal procedures have opened up a new sub-field of minimally invasive surgery that use flexible instruments to navigate through complex luminal structures of the body, resulting in reduced invasiveness and ...

Shedding light on sewer pipes : deep learning perception approaches for autonomous sewer robots 

Plana Rius, Ferran (Fecha de defensa: 2023-03-02)

(English) Sewerage is a vital infrastructure for society’s day-to-day life. Its maintenance is a priority and current European legislation increases the demand of a proper inspection. Being a complex access and dangerous ...

Contributions to prognostics and health-aware control of dynamic systems 

Khoury, Boutrous (Fecha de defensa: 2023-03-24)

(English) Maintenance is indispensable in every industry that uses machines and is inevitable regardless of the attention paid to it. The cumulative effect of its neglect or a non-optimized approach is a long or short-term ...

Automatic hands-free visualization of a six degrees of freedom agent within a complex anatomical space 

Finocchiaro, Martina (Fecha de defensa: 2023-03-28)

(English) Over the years, a continuous development of intraluminal procedures resulted in strong benefits for the patients. Reduced blood loss, lower risk of infections, diminished scaring impact and quicker recovery time ...

Anàlisi de patrons funcional i estructurals en la regulació del calci en les cèl·lules cardíaques 

Nolla Colomer, Carme (Fecha de defensa: 2021-05-28)

In 2019 the data published by the World Health Organization showed that the cardiac ischemia is the first cause of death worldwide. These diseases are caused by irregularities of the contractile mechanism’s function, ...

A socio-technical approach for assistants in human-robot collaboration in industry 4.0 

Chacón Encalada, Luis Alejandro (Fecha de defensa: 2022-07-08)

The introduction of technologies disruptive of Industry 4.0 in the workplace integrated through human cyber-physical systems causes operators to face new challenges. These are reflected in the increased demands presented ...

Serum potassium concentration monitoring by ECG time warping analysis on the T wave 

Palimeri, Flavio (Fecha de defensa: 2022-05-31)

End-stage renal disease (ESRD) patients demonstrate an increased incidence of sudden cardiac death (SCD) with declining kidney functioning as a consequence of blood potassium ([K+]) homeostasis impairment, which is restored ...

Control adaptativo por modelo de referencia con síntesis de controlador mínima en sistemas con incertidumbre y sujetos a perturbaciones 

Larco Barros, Ciro Mauricio (Fecha de defensa: 2021-12-15)

In this research work, a non-linear technique called Minimum Controller Synthesis (MCS) is presented. This is a variant of the Model Reference Adaptive Control (MRAC), which has the main advantage of requiring very little ...

Guidance, navigation and control of multirotors 

Rubí Perelló, Bertomeu (Fecha de defensa: 2020-12-11)

This thesis presents contributions to the Guidance, Navigation and Control (GNC) systems for multirotor vehicles by applying and developing diverse control techniques and machine learning theory with innovative results. ...

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