Parameters Estimation of Hydraulic Circuit Head Losses for Virtual Sensor Design

Malan, S.; Greco, Cosimo; Tisseur, Riccardo; Bari, F.

doi:10.1109/tcst.2016.2611567

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Observer is developed by using the measurement from an orifice placed to measure the flow rate at output of control valve. Development of a virtual sensor for measurement of flow rate in the pipes by using mathematical models is reported by Malan et al (2017). A mathematical model between flow rate and head loss was found by measuring state of the valves and flow rate at the inlet.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Flow Rate Through Analysis of Pipe Vibration

Venkata

Navada

2018

Acta Mechanica Et Automatica

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In this paper, implementation of soft sensing technique for measurement of fluid flow rate is reported. The objective of the paper is to design an estimator to physically measure the flow in pipe by analysing the vibration on the walls of the pipe. Commonly used head type flow meter causes obstruction to the flow and measurement would depend on the placement of these sensors. In the proposed technique vibration sensor is bonded on the pipe of liquid flow. It is observed that vibration in the pipe varies with the control action of stem. Single axis accelerometer is used to acquire vibration signal from pipe, signal is passed from the sensor to the system for processing. Basic techniques like filtering, amplification, and Fourier transform are used to process the signal. The obtained transform is trained using neural network algorithm to estimate the fluid flow rate. Artificial neural network is designed using back propagation with artificial bee colony algorithm. Designed estimator after being incorporated in practical setup is subjected to test and the result obtained shows successful estimation of flow rate with the root mean square percentage error of 0.667.

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Section: Introductionmentioning

confidence: 99%