Reconfiguration Using a Virtual Sensor

2005 ◽  
pp. 69-79 ◽  
Author(s):  
Thomas Steffen
Keyword(s):  
Virtual Sensor

Virtual Sensor Idea-Based Geolocation Using RF Multipath Diversity

2016 ◽  
Vol E99.A (10) ◽  
pp. 1799-1805
Author(s):  
Zhigang CHEN ◽  
Lei WANG ◽  
He HUANG ◽  
Guomei ZHANG
Keyword(s):  
Virtual Sensor ◽  
Multipath Diversity

scholarly journals Design of a neural virtual sensor for the air and charging system in a Diesel engine

2020 ◽  
Vol 53 (2) ◽  
pp. 14061-14066
Author(s):  
Vincenzo Alfieri ◽  
Carmen Pedicini ◽  
Corrado Possieri
Keyword(s):  
Diesel Engine ◽  
Virtual Sensor ◽  
Charging System

scholarly journals Development of a wind turbine gearbox virtual load sensor using multibody simulation and artificial neural networks

2021 ◽  
Author(s):  
Baher Azzam ◽  
Ralf Schelenz ◽  
Björn Roscher ◽  
Abdul Baseer ◽  
Georg Jacobs
Keyword(s):  
Time Series ◽  
Wind Turbine ◽  
High Speed ◽  
Time Series Data ◽  
Development Trend ◽  
Series Data ◽  
Ann Model ◽  
Wind Turbine Gearbox ◽  
Virtual Sensor ◽  
Artificial Neural

AbstractA current development trend in wind energy is characterized by the installation of wind turbines (WT) with increasing rated power output. Higher towers and larger rotor diameters increase rated power leading to an intensification of the load situation on the drive train and the main gearbox. However, current main gearbox condition monitoring systems (CMS) do not record the 6‑degree of freedom (6-DOF) input loads to the transmission as it is too expensive. Therefore, this investigation aims to present an approach to develop and validate a low-cost virtual sensor for measuring the input loads of a WT main gearbox. A prototype of the virtual sensor system was developed in a virtual environment using a multi-body simulation (MBS) model of a WT drivetrain and artificial neural network (ANN) models. Simulated wind fields according to IEC 61400‑1 covering a variety of wind speeds were generated and applied to a MBS model of a Vestas V52 wind turbine. The turbine contains a high-speed drivetrain with 4‑points bearing suspension, a common drivetrain configuration. The simulation was used to generate time-series data of the target and input parameters for the virtual sensor algorithm, an ANN model. After the ANN was trained using the time-series data collected from the MBS, the developed virtual sensor algorithm was tested by comparing the estimated 6‑DOF transmission input loads from the ANN to the simulated 6‑DOF transmission input loads from the MBS. The results show high potential for virtual sensing 6‑DOF wind turbine transmission input loads using the presented method.

scholarly journals Force-Sensor-Based Estimation of Needle Tip Deflection in Brachytherapy

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Thomas Lehmann ◽  
Mahdi Tavakoli ◽  
Nawaid Usmani ◽  
Ronald Sloboda
Keyword(s):  
Force Sensor ◽  
Needle Insertion ◽  
Interstitial Brachytherapy ◽  
Control Technique ◽  
Torque Sensor ◽  
Treatment Efficiency ◽  
Treatment Procedure ◽  
Virtual Sensor ◽  
Needle Deflection ◽  
Mechanical Models

A virtual sensor is developed for the online estimation of needle tip deflection during permanent interstitial brachytherapy needle insertion. Permanent interstitial brachytherapy is an effective, minimally invasive, and patient friendly cancer treatment procedure. The deflection of the needles used in the procedure, however, undermines the treatment efficiency and, therefore, needs to be minimized. Any feedback control technique to minimize the needle deflection will require feedback of this quantity, which is not easy to provide. The proposed virtual sensor for needle deflection incorporates a force/torque sensor, mounted at the base of the needle that always remains outside the patient. The measured forces/torques are used by a mathematical model, developed based on mechanical needle properties. The resulting estimation of tip deflection in real time during needle insertion is the main contribution of this paper. The proposed approach solely relies on the measured forces and torques without a need for any other invasive/noninvasive sensing devices. A few mechanical models have been introduced previously regarding the way the forces are composed along the needle during insertion; we will compare our model to those approaches in terms of accuracy. In order to conduct experiments to verify the deflection model, a custom-built, 2-DOF robotic system for needle insertion is developed and discussed. This system is a prototype of an intelligent, hand-held surgical assistant tool that incorporates the virtual sensor proposed in this paper.

scholarly journals Fault Estimation and Accommodation For Virtual Sensor Bias Fault in Image-Based Visual Servoing Using Particle Filter

2018 ◽  
Vol 14 (4) ◽  
pp. 1312-1322 ◽  
Author(s):  
Mien Van ◽  
Shuzhi Sam Ge ◽  
Dariusz Ceglarek
Keyword(s):  
Particle Filter ◽  
Visual Servoing ◽  
Fault Estimation ◽  
Virtual Sensor

Analysis of Air Pollution Utilizing Virtual Sensor Models

2021 ◽  
Author(s):  
Gabriel Oliveira Campos ◽  
Leandro Aparecido Villas ◽  
Felipe Domingos Da Cunha
Keyword(s):  
Air Pollution ◽  
Virtual Sensor ◽  
Sensor Models
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