IEE Proceedings - Science, Measurement and Technology

Issue 1 • 6 Jan. 2003

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Displaying Results 1 - 7 of 7
  • Identification of CO and NO2 using a thermally resistive microsensor and support vector machine

    Publication Year: 2003, Page(s):11 - 14
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (456 KB)

    Levels of carbon monoxide and nitrogen dioxide in air are currently monitored using two different thick-film resistive gas sensors. The resultant high power consumption of thick-film-based gas sensors is problematic for portable multi-gas monitors. The use of a single low-power thermally-modulated resistive gas sensor to monitor simultaneously both gases is reported. The silicon micromachined subs... View full abstract»

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  • Analysis of air termination system of the lightning protection scheme for the Indian satellite launch pad

    Publication Year: 2003, Page(s):3 - 10
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (879 KB)

    Any satellite launch mission is a complex and expensive process and great care and precautions need to be taken for a safe and successful launch. A lightning stroke can be hazardous to the satellite launch system. Therefore extensive care has to be taken to protect the satellite launch pad against lightning. The paper aims at evaluating the efficacy of the aerial receptor system of the lightning p... View full abstract»

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  • Prediction of passive intermodulation arising from corrosion

    Publication Year: 2003, Page(s):30 - 34
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (470 KB)

    Large-signal analysis of a corroded interface subjected to multisinusoidal signals is presented. The special cases of sinusoids with sufficiently small amplitudes and three equal-amplitude sinusoids are considered in detail, and the results are compared, whenever possible, with previously published results. View full abstract»

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  • Fault identification of power transformers using genetic-based wavelet networks

    Publication Year: 2003, Page(s):25 - 29
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (620 KB)

    The paper presents genetic-based wavelet networks (GWNs) for fault identification of power transformers. GWNs are three-layer structures, which contain wavelet, weighting and summing layers. Using a genetic-algorithm (GA) based optimisation process, the GWNs automatically tune the network parameters, translation and dilation in the wavelet nodes and the weighting values in the weighting nodes. The... View full abstract»

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  • Digital capacitive angular-position sensor

    Publication Year: 2003, Page(s):15 - 18
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (587 KB)

    A capacitive angular position sensor capable of covering 360° is presented. It is made up of four quadrants, each of which consists of a parallel plate capacitor whose higher potential plate (HPP) has a specific shape. A grounded semi-circular plate, whose angular position is measured, moves between these capacitors. When these capacitors are supplied with sinusoidal voltages of mutually shift... View full abstract»

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  • Method for close-to-the-carrier phase noise measurement

    Publication Year: 2003, Page(s):35 - 39
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (559 KB)

    A new digital signal-processing method for close-to-the carrier phase noise measurement is proposed. By suitably undersampling the input sinusoidal carrier and exploiting an optimised quadrature demodulation scheme, the method provides accurate phase noise estimates at very low frequency offsets (<1 Hz), thus overcoming a notable limit of other measurement techniques. Moreover, its input frequency... View full abstract»

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  • Condition assessment of power transformers using genetic-based neural networks

    Publication Year: 2003, Page(s):19 - 24
    Cited by:  Papers (23)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (616 KB)

    Genetic-based neural networks (GNNs) for the assessment of the condition of power transformers are presented. The GNNs automatically tune the network parameters, connection weights and bias terms of the neural networks, to yield the best model according to the proposed genetic algorithm. Due to the global search capabilities of the genetic algorithm and the highly nonlinear mapping nature of the n... View full abstract»

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Aims & Scope

Published from 1994-2006, IEE Proceedings - Science, Measurement and Technology contained significant and original contributions on science, measurement and technology, together with topics of general interest to electrical engineers. It included papers in the science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.

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