Search results for "AUTOMOTIVE"

Robust Composite Nonlinear Feedback Path-Following Control for Independently Actuated Autonomous Vehicles With Differential Steering

2016

This paper investigates utilizing the front-wheel differential drive-assisted steering (DDAS) to achieve the path-following control for independently actuated (IA) electric autonomous ground vehicles (AGVs), in the case of the complete failure of the active front-wheel steering system. DDAS, which is generated by the differential torque between the left and right wheels of IA electric vehicles, can be utilized to actuate the front wheels as the sole steering power when the regular steering system fails, and thus avoids dangerous consequences for AGVs. As an inherent emergency measure and an active safety control method for the steering system of electric vehicles, DDAS strategy is a valuabl…

Feasibility study of electromechanical cylinder drivetrain for offshore mechatronic systems

2017

Currently, there is an increasing focus on the environmental impact and energy consumption of the oil and gas industry. In offshore drilling equipment, electric motors tend to replace traditionally used hydraulic motors, especially in rotational motion control applications. However, force densities available from linear hydraulic actuators are still typically higher than those of electric actuators. Therefore, usually the remaining source of hydraulic power is thereby the hydraulic cylinder. This paper presents a feasibility study on the implementation of an electromechanical cylinder drivetrain on an offshore vertical pipe handling machine. The scope of this paper is to investigate the fea…

Analysis of Linear Feedback Position Control in Presence of Presliding Friction

2016

Conceptual Key Competency Model for Smart Factories in Production Processes

2020

Abstract Background and Purpose: The aim of the study is to develop a conceptual key competency model for smart factories in production processes, focused on the automotive industry, as innovation and continuous development in this industry are at the forefront and represent the key to its long-term success. Methodology: For the purpose of the research, we used a semi-structured interview as a method of data collection. Participants were segmented into three homogeneous groups, which are industry experts, university professors and secondary education teachers, and government experts. In order to analyse the qualitative data, we used the method of content analysis. Results: Based on the anal…

Heat Pump Induction Motor Faults Caused by Soft Starter Topology — Case Study

2021

This paper presents a case study of electrical machine faults, emerging in heat pump systems. In Nordic countries, heat pumps have been gaining popularity during the past years and have become one of the leading ways of heating in households and smaller public buildings. Although not a very complicated setup, the devices used are still prone to unexpected failures, especially if wrongly chosen, installed or maintained. The paper presents a study conducted on five real-life cases with very similar outcomes and failure modes. The setup of the systems is explained, faults are listed and presented, causes of the faults including modeling and measurement data are provided. The suggestions are gi…

Ensuring the Reliability of an Autonomous Vehicle

2017

International audience; In automotive applications, several components, offering different services, can be composed in order to handle one specific task (autonomous driving for example). Nevertheless, component composition is not straightforward and is subject to the occurrence ofbugs resulting from components or services incompatibilities for instance. Hence, bugs detection in component-based systems at thedesign level is very important, particularly, when the developed system concerns automotive applications supporting critical services.In this paper, we propose a formal approach for modeling and verifying the reliability of an autonomous vehicle system, communicatingcontinuously with of…

Investigación clínica en 2016: artículos destacados

2017

Resumen En el ano 2016, se han publicado numerosos articulos de calidad sobre la enfermedad de Crohn (EC) y la colitis ulcerosa (CU). La importancia de la dieta o de los germenes en la enfermedad inflamatoria intestinal (EII), la repercusion de la EII en la calidad de vida, el papel de la calprotectina o la posibilidad de usar el PET en el seguimiento de la EII son algunos de los temas a destacar. El tratamiento ha sido foco de numerosos ensayos, consolidando el infliximab (sugiriendo niveles en la semana 2), el adalimumab y el golimumab, como tratamientos de primera linea, apoyando el uso de ustekinumab en EC, y dejando el metotrexato como ultimo recurso en la CU, salvo en artropatia. Por …

Manejo práctico de la intensificación del tratamiento biológico en los pacientes con enfermedad inflamatoria intestinal

2016

Resumen El tratamiento biologico con anticuerpos frente al factor de necrosis tumoral alfa (anti-TNF) ha mejorado las posibilidades terapeuticas de la enfermedad inflamatoria intestinal (EII). Estos farmacos han mostrado una elevada eficacia clinica, asociada fundamentalmente a la curacion de la mucosa intestinal y a la mejora de la calidad de vida de los pacientes. Sin embargo, un porcentaje considerable de pacientes no responden inicialmente al tratamiento o pierden la respuesta conseguida a lo largo del tiempo. Con vistas a resolver el fracaso del tratamiento anti-TNF, se han empleado varias estrategias en una actitud conocida como intensificacion del tratamiento. Estas estrategias inclu…

The best way to assess visually induced motion sickness in a fixed-base driving simulator

2017

Abstract Objective Driving simulator usage is becoming more widespread, yet many users still experience substantial motion sickness-like symptoms induced by optical flow, called visually induced motion sickness (VIMS). The Fast Motion sickness Scale (FMS) allows for continuous on-line assessment of VIMS. Using mixed models for ordinal data, this study investigated how to optimally analyze FMS data, and then used the resulting models to examine the development of symptoms over time in detail. Additionally, the study explored the impact of specific VIMS-inducing road elements. Methods Twenty-eight healthy young adults without prior simulator experience completed six courses on two days in a f…

Impact of decision horizon on post-prognostics maintenance and missions scheduling: a railways case study

2021

International audience; In this paper, we propose a study of the decision horizon duration for rolling stock mission assignment and maintenance planning in a prognostics and health management (PHM) context. The aim is to determine the best decision horizon duration that allows the con- struction of a suitable schedule that assigns railway vehicles to missions and integrates required maintenance operations accord- ing to the current and future health of the vehicles. A genetic algorithm is used to minimize the overall cost of the joint schedule as a function of the decision horizon. The results are compared to three proposed heuristics to study the influence of the resolution method on the d…