Quality inspection of electroplated materials using planar type micro-magnetic sensors with post-processing from neural network model

Mukhopadhyay, Subhas Chandra

doi:10.1049/ip-smt:20020340

Cited by 24 publications

(15 citation statements)

References 16 publications

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“…In ambient temperature, a HART device [14] or computer calibration action is used for pressures 0, +125, +250, +375, +500 mmh 2 o as the sensor input, to produce 4, 8, 12, 16, 20 mA as the sensor output, respectively.…”

Section: A Collecting Datamentioning

confidence: 99%

Compensation of Capacitive Differential Pressure Sensor using Multi Layer Perceptron Neural Network

Moallem

Abdollahi

Hashemi

2015

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Capacitive differential pressure sensor (CPS), which converts an input differential pressure to an output current, is extremely used in different industries. Since the accuracy of CPS is limited due to ambient temperature variations and nonlinear dependency of input and output, compensation is necessary in industries that are sensitive to pressure measurement. This paper proposes a framework for designing of CPS compensation system based on Multi Layer Perceptron (MLP) neural network. Firstly, a test bench for a sample popular CPS is designed and implemented for data acquisition in a real environment. Then, the gathered data are used to train different MLPs as CPS compensation system which inputs are the output current of CPS and temperature value, and the output is compensated current or computed pressure. The experimental results for an ATP3100 smart capacitive pressure transmitter show the trained three layers MLP with LevenbergMarquardt learning algorithm could effectively compensate the output against variation of temperature as well as nonlinear effects, and reduce the pressure measurement error to about 0.1% FS (Full Scale) , over the temperature range of 5 ~ 60 ° C.

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Section: A Collecting Datamentioning

confidence: 99%

Compensation of Capacitive Differential Pressure Sensor using Multi Layer Perceptron Neural Network

Moallem

Abdollahi

Hashemi

2015

International Journal on Smart Sensing and Intelligent Systems

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“…The inspection and evaluation of the system properties is carried out without destroying them. The use of the planar sensors has been extended to inspection of metal and electroplated materials [8]- [12].…”

Section: Operating Principle Of the Electromagnetic Sensing Technmentioning

confidence: 99%

A Low-Cost Sensing System for Quality Monitoring of Dairy Products

Mukhopadhyay

Gooneratne

Gupta

et al. 2006

IEEE Trans. Instrum. Meas.

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Abstract-The dairy industry is in need of a cost-effective, highly reliable, very accurate, and fast measurement system to monitor the quality of dairy products. This paper describes the design and fabrication works undertaken to develop such a system. The techniques used center around planar electromagnetic sensors operating with radio frequency excitation. Computer-aided computation, being fast, facilitates on-line monitoring of the quality. The sensor technology proposed has the ability to perform volumetric penetrative measurements to measure properties throughout the bulk of the product.

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“…The sensors have been designed, fabricated and employment successfully. These are successfully used in applications such as the printed circuit boards assessment [1,2,3], near surface material properties estimation [4,5], electroplated materials [6,7], saxophone reed examination [8], dairy products inspection [7]. The planar interdigital sensors have been used for the non-invasive monitoring of fat content and bodily fluids [9].…”

Section: Introductionmentioning

confidence: 99%

Modelling of Hexagonal Electromagnetic Sensor

Mapare¹,

Sarate²

2016

IJCA

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This paper introduces hexagonal shape sensors that is a meander and mesh type. Modelling, simulation and development of Hexagonal Sensor and the results are discussed in this paper. The characteristics of hexagonal spiral inductor and interdigital capacitor are determined. The hexagonal spiral inductor is a new electronic sensor that can be used for various measurements that produces magnetic field. The interdigital capacitor has been designed with two different widths of electrode results in electric field generation. This hexagonal spiral inductor and interdigital sensor are combined to form one single hexagonal electromagnetic sensor, interdigital sensor at the centre of the spiral. The developed structure is double sided with hexagonal spiral inductor and interdigital sensor on top and ground on the other side. The sensor is designed using COMSOL Multiphysics software to calculate sensors' characteristics and it has been fabricated on FR4 substrate of thickness 0.8mm.

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Quality inspection of electroplated materials using planar type micro-magnetic sensors with post-processing from neural network model

Cited by 24 publications

References 16 publications

Compensation of Capacitive Differential Pressure Sensor using Multi Layer Perceptron Neural Network

Compensation of Capacitive Differential Pressure Sensor using Multi Layer Perceptron Neural Network

A Low-Cost Sensing System for Quality Monitoring of Dairy Products

Modelling of Hexagonal Electromagnetic Sensor

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