Design and Implementation of an Embedded Remote Electronic Measurement System

Bai, Ying-Wen; Hsu, Cheng-Yu

doi:10.1109/imtc.2006.328520

Cited by 9 publications

(1 citation statement)

References 12 publications

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“…The actually measured insulation resistance values curve and the predicted values curve are shown in Fig. 3, we can see from the picture that the deviation between the predicted value and measured value in November is relatively large, it's that the contaminants on the surface of insulator, the insulation degree of testing tooling or the substance which is exposed to the insulation surface during the process of electrical connection may result in inaccurate measurements [7]. Therefore, we can select the measured values which have big deviation with the predicted values, and then measure the airfield lighting circuit insulation resistance again.…”

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confidence: 95%

Research of Airfield Lighting Insulation Resistance Prediction Based on Gray System Theory

Wang

et al. 2012

AMM

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Airfield lighting circuit is an important part of airfield lighting system, and the insulation resistance value of this circuit is affected by humidity, temperature, the quality and the number of the Isolation Transformers and many other factors, so it is difficult to accurately predict the resistance size by using traditional methods. In the light of insulation resistance values of airfield lighting circuit, this paper put forward adopting Gray System Theory to make the prediction, and then build GM(2,1) model to analyze and forecast the resistance values according to the actually measured values of the insulation resistance at Shanghai Pudong International Airport. Finally, the research shows that there is only a little difference between predicted values and the actually measured values. In other words, the prediction of insulation resistance based on Gray System Theory is viable.

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confidence: 95%

Research of Airfield Lighting Insulation Resistance Prediction Based on Gray System Theory

Wang

et al. 2012

AMM

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Validation system for power supply module part of automotive ECUs

Prutianu

Popescu

Monica

2012

2012 10th International Symposium on Electronics and Telecommunications

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Design and implementation of an embedded network arbitrary signal generator

Bai

Jau

2009

2009 IEEE International Symposium on Industrial Electronics

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In this paper we use an embedded system and an external interface circuit to design and implement an embedded network arbitrary signal generator (ENASG). We build a Web server in the embedded system and use CGI (Common Gateway Interface) as the network interface between the Web server and the embedded system. The user can use a PC, a PDA or a smart phone to login to the remote operation interface. After the user has selected and adj usted the output waveform, it is outputted through the external interface circuit. For the ENASG we design four waveform types: sine, square, triangle and arbitrary. The frequency and the voltage of the output waveform are adjustable. The external interface circuit includes the data buffer, the digitalto-analog converter (DAC), the oscillator and the amplifier. The data buffer receives and stores the output waveform data from the embedded system. The oscillator controls the DAC to load the output waveform data and to convert the data into an analog signal. Finally, the amplifier gains the analog signal which is then outputted.I.

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Design and Implementation of an Embedded Remote Electronic Measurement System

Cited by 9 publications

References 12 publications

Research of Airfield Lighting Insulation Resistance Prediction Based on Gray System Theory

Research of Airfield Lighting Insulation Resistance Prediction Based on Gray System Theory

Validation system for power supply module part of automotive ECUs

Design and implementation of an embedded network arbitrary signal generator

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