A Software Sensor for Motorcycle Suspension Stroke

2015 ◽  
pp. 445-448 ◽  
Author(s):  
Domenico Capriglione ◽  
Consolatina Liguori ◽  
Vincenzo Paciello ◽  
Antonio Pietrosanto ◽  
Paolo Sommella
Keyword(s):  
Software Sensor

scholarly journals Neural network-based software sensor: training set design and application to a continuous pulp digester

2005 ◽  
Vol 13 (2) ◽  
pp. 135-143 ◽  
Author(s):  
Pascal Dufour ◽  
Sharad Bhartiya ◽  
Prasad S. Dhurjati ◽  
Francis J. Doyle III
Keyword(s):  
Neural Network ◽  
Set Design ◽  
Training Set ◽  
Software Sensor ◽  
Pulp Digester ◽  
Design And Application

ON-LINE ESTIMATION AND DETECTION OF ABNORMAL SUBSTRATE CONCENTRATIONS IN WWTPS USING A SOFTWARE SENSOR: A BENCHMARK STUDY

2007 ◽  
Vol 28 (8) ◽  
pp. 871-882 ◽  
Author(s):  
F. Benazzi ◽  
K.V. Gernaey ◽  
U. Jeppsson ◽  
R. Katebi
Keyword(s):  
Software Sensor ◽  
Benchmark Study ◽  
On Line ◽  
Substrate Concentrations

scholarly journals Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process

2019 ◽  
Vol 33 (1) ◽  
pp. 141-151 ◽  
Author(s):  
Pavel Hrnčiřík ◽  
Tomáš Moucha ◽  
Jan Mareš ◽  
Jan Náhlík ◽  
Dagmar Janáčová
Keyword(s):  
Linear Regression ◽  
Heat Production ◽  
Process Model ◽  
Biomass Concentration ◽  
Main Process ◽  
Software Sensor ◽  
Enthalpy Balance ◽  
Filamentous Microorganisms ◽  
Software Sensors ◽  
On Line

In this study, the potential of two software sensors for on-line estimation of biomass concentration during cultivation of filamentous microorganisms is examined. The first sensor is based on common bioreactor off-gas analyses, and uses the assumption of the biomass concentration linear dependence on the square root of cumulative O2 consumption. Parameters of the semi-empirical data-driven software sensor based on off-gas analysis were calculated from experimental cultivation data using linear regression. The second sensor is based on biocalorimetry, i.e., the on-line calculation of metabolic heat flux from general enthalpy balance of the bioreactor. The software sensor based on biocalorimetry thus essentially represents a model-driven approach, making use of a fundamental process model based on the enthalpy balance around the bioreactor. This approach has been combined with the experimental identification of the specific biomass heat production, which represents the main process-specific parameter of the software sensor based on biocalorimetry. For this sensor, the accuracy requirements on the process variable on-line measurements were also analysed. The experimental data from the pilot-scale antibiotics Nystatin production by a bacterium Streptomyces noursei were used to calculate the specific bioprocess heat production value using linear regression. The achieved results enabled us to propose a new on-line indicator calculated as the ratio of the outputs of both sensors, which can serve as a timely warning of the risk of undesired nutritional conditions of a culture characterized as underfeeding.

scholarly journals Software Sensor for Airflow Modulation and Noise Detection by Cyclostationary Tools

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2414
Author(s):  
Mohamad Alkoussa Dit Albacha ◽  
Laurent Rambault ◽  
Anas Sakout ◽  
Kamel Abed Meraim ◽  
Erik Etien ◽  
...  
Keyword(s):  
Flow Rate ◽  
Physical Phenomenon ◽  
Experimental Setup ◽  
Noise Detection ◽  
Air Flow Rate ◽  
Audio Signals ◽  
Software Sensor ◽  
Low Speed ◽  
Speed Flow ◽  
Noise Disturbances

The paper presents tools to model low speed airflow coming from a turbulent machine. This low speed flow have instabilities who generate noise disturbances in the environment. The aim of the study proposed in this paper, is the using of cyclostationary tools with audio signals to model this airflow and detect the noisy frequencies to eliminate this noise. This paper also deals with the extraction in real time of the frequency corresponding to the noise nuisance. This extraction makes it possible to build a software sensor. This software sensor can be used to estimate the air flow rate and also to control a future actuator which will reduce the intensity of the noise nuisance. This paper focuses on the characteristic of the sound signal (property of cyclostationarity) and on the development of a software sensor. The results are established using an experimental setup representative of the physical phenomenon to be characterised.

Robust software sensor design for the state estimation in a sulfate-reducing bioreactor

2016 ◽  
Vol 50 (1) ◽  
pp. 67-75 ◽  
Author(s):  
R. V. Gómez-Acata ◽  
M. I. Neria-González ◽  
R. Aguilar-López
Keyword(s):  
State Estimation ◽  
The State ◽  
Sensor Design ◽  
Software Sensor ◽  
Sulfate Reducing ◽  
Sulfate Reducing Bioreactor

Flight Control System improvement based on a software sensor derived from Partial Least Squares Algorithm

2012 ◽  
Vol 45 (20) ◽  
pp. 1041-1046
Author(s):  
Florian Cazes ◽  
Marie Chabert ◽  
Corinne Mailhes ◽  
Patrice Michel ◽  
Philippe Goupil ◽  
...  
Keyword(s):  
Control System ◽  
Least Squares ◽  
Partial Least Squares ◽  
Flight Control ◽  
Flight Control System ◽  
Software Sensor ◽  
System Improvement ◽  
Least Squares Algorithm

Software sensor design based on empirical data

1999 ◽  
Vol 120 (2-3) ◽  
pp. 131-139 ◽  
Author(s):  
Marie H. Masson ◽  
Stéphane Canu ◽  
Yves Grandvalet ◽  
Anders Lynggaard-Jensen
Keyword(s):  
Empirical Data ◽  
Sensor Design ◽  
Software Sensor
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