Listar ESID_Articles por título
-
A comparative study of three-dimensional printing directions: The degradation and toxicological profile of a PLA/PHA blend
Elsevier (2018)The use of biobased plastics is of great importance for many applications. Blending thermoplastic polylactide (PLA) with polyhydroxyalkanoate (PHA) enables the formulation of a more mechanically powerful material and ... -
A critical approach to Machine Learning forecast capabilities: creating a predictive biography in the age of the Internet of Behaviour (IoB)
Universitat Oberta de Catalunya (2023-01)Based on the notion of the Datacene, understood as the time when data directly affects the social, cultural, economic, political, and even affective structures of the present, in this article we propose how Big Data and ... -
A deep learning model for intra-day forecasting of solar irradiance using satellite-based estimations in the vicinity of a PV power plant
Elsevier (2021-03-25)This work proposes an intra-day forecasting model, which does not require to be trained or fed with real-time data measurements, for global horizontal irradiance (GHI) at a given location. The proposed model uses a series ... -
A framework for concurrent material and process selection during conceptual product design stages
Elsevier (2012)The main aim of this research work is to draw up a framework proposal for integrated materials and process selection in product design. Following an in-depth review of existing studies and the factors that influence ... -
A Markovian jump system approach for the estimation and adaptive diagnosis of decreased power generation in wind farms
The Institution of Engineering and Technology (IET) (2019-08-30)In this study, a Markovian jump model of the power generation system of a wind turbine is proposed and the authors present a closed-loop model-based observer to estimate the faults related to energy losses. The observer ... -
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes
Elsevier (2023)In the current paradigm of Zero Defect Manufacturing, it is essential to obtain mathematical models that express the propagation of manufacturing deviations along Multistage Manufacturing Processes (MMPs). Linear physical-based ... -
A model to prioritise sustainable urban regeneration in vulnerable areas using SWOT and CAME methodologies
Springer (2021-01-21)This work proposes a model for decision-making support to help Administrations to undertake urban regeneration and refurbishment by prioritising vulnerable neighbourhoods and buildings. In order to suggest regeneration ... -
A multilevel modular dc-dc converter topology
Elsevier (2017)A multilevel modular DC-DC power conversion topology based on cascaded H-Bridge converters in a double П configuration is presented. The topology is intended to interconnect large power DC networks. A two level control ... -
A new approach to averaging level control
Elsevier (2011-09)In this paper, a new simple algorithm for averaging level control is presented. The proposed algorithm is based on the use of a static nonlinear controller to improve the input flow filtering by reducing the slope of the ... -
A new approach to optimize the energy efficiency of CO2 transcritical refrigeration plants
Elsevier (2014-06)This paper proposes a model-free real-time optimization and control strategy for CO2 transcritical refrigeration plants that assures covering the cooling demand and continuous tracking of conditions for maximum efficiency. ... -
A new method for experimental tuning of PI controllers based on the step response
Elsevier (2021-09-16)In this paper we present a new method for tuning Proportional Integral (PI) controllers from experimental data obtained through an open loop step test over the process to be controlled. The tuning procedure requires first ... -
A new method for tuning PI controllers with symmetric send-on-delta sampling strategy
Elsevier (2016)In this paper we present a new method for tuning PI controllers with symmetric send-on-delta (SSOD) sampling strategy. First we analyze the conditions that produce oscillations in event based systems considering SSOD ... -
A new methodology for facilitating the design of safety-related parts of control systems in machines according to ISO 13849:2006 standard
Elsevier (2018)Safety is a fundamental requirement of production systems considered throughout all the stages of a machine’s lifecycle. Due to its importance to avoid accidents and injuries, safety specifications have been explicitly ... -
A novel vacuum pressure sensor using a thermoelectric device
Elsevier (2020)We present the proof-of-concept of a new vacuum pressure sensor based on a new operating principle. The new sensor is formed by the simple combination of a thermoelectric (TE) module that is contacted at both sides by ... -
A PID tuning approach to find the optimal compromise among robustness, performance and control effort: implementation in a free software tool
Taylor and Francis (2021-10-20)A PID tuning approach is presented to achieve an optimal compromise among robustness, performance and control effort in terms of measurement noise amplification. The tuning strategy is based on the concept of fixed robustness ... -
A possible use of melatonin in the dental field: Protein adsorption andinvitrocell response on coated titanium
Elsevier (2020)Melatonin (MLT) is widely known for regulating the circadian cycles and has been studied for its role in boneregeneration and inflammation. Its application as a coating for dental implants can condition the local ... -
A review of artificial intelligent approaches applied to part accuracy prediction
Inderscience (2010)Nowadays, despite the large volume of worldwide academic research on various aspects of metal cutting the control of workpiece precision still relies on machine-tool operator's experience and trial and error runs. In order ... -
A review of machining monitoring systems based on artificial intelligence process models
Springer-Verlag (2009)Many machining monitoring systems based on artificial intelligence (AI) process models have been successfully developed in the past for optimising, predicting or controlling machining processes. In general, these monitoring ... -
A Review of the Factors Influencing Surface Roughness in Machining and Their Impact on Sustainability
MDPI (2024)Understanding surface roughness generation in machining is critical to estimate the final quality of the part, optimize cutting conditions, reduce costs and improve manufacturing sustainability in industry. This work ... -
A Sequential Inspection Procedure for Fault Detection in Multistage Manufacturing Processes
MDPI (2021)Fault diagnosis in multistage manufacturing processes (MMPs) is a challenging task where most of the research presented in the literature considers a predefined inspection scheme to identify the sources of variation and ...