Application of Neural Network for Testing Selected Specification Parameters of Voltage-Controlled Oscillator

• Autorzy: Grzechca D. , Temich S.

Identyfikatory

DOI

10.24425/119371

• Języki publikacji: EN

Abstrakty

EN

In this paper, the application of the Artificial Neural Network (ANN) algorithm has been used for testing selected specification parameters of voltage-controlled oscillator. Today, mixed electronic circuits specification time is an issue. An analog part of Phase Locked Loop is a voltage-controlled oscillator, which is very sensitive to variation of the technology process. Fault model for the integrated circuit voltage control oscillator (VCO) in ring topology is introduced and the before test stage classificatory is designed. In order to reduce testing time and keep the specification accuracy (approximation) on the high level, an artificial neural network has been applied. The features selection process and output coding for specification parameters are described. A number of different ANN have been designed and then compared with real specification of the VCO. The results obtained gives response in short time with high enough accuracy.

Słowa kluczowe

EN

specification driven testing; voltage controlled oscillator; ring oscillator; artificial neural network

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2018
• Tom: Vol. 64, No. 2
• Strony: 203--207
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Grzechca D.

• Institute of Electronics, Silesian University of Technology, Poland

autor

Temich S.

• Institute of Electronics, Silesian University of Technology, Poland

Bibliografia

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• [8] M. J. Burbidge and A. Richardson, “Phase-locked loop test methodologies: Current characterization and production test practices,” pp. 99-136, Jan. 2008.
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• [10] O.-R. J. Manuel, M.-B. M. del Rosario, G. Eduardo, and V.-C. H. Rene, “Artificial Neural Networks Modeling Evolved Genetically, a New Approach Applied in Neutron Spectrometry and Dosimetry Research Areas,” in Proceedings of the 2008 Electronics, Robotics and Automotive Mechanics Conference, Washington, DC, USA, 2008, pp. 387-392.
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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).