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Item details URL: http://open-repository.kisti.re.kr/cube/handle/open_repository/473470.do

Title: A BAYESIAN VIRTUAL METROLOGY FOR QUALITY INSPECTION OF MOBILE REPEATERSYSTEMS

Description: We thank the referees who helped us gain substantial improvements in themanuscript. This work was supported by Basic Science Research Programthrough the National Research Foundation of Korea funded by the Ministryof Education (No. 2015R1D1A1A01059799). This work was supported by theHuman Resources Program in Energy Technology of the Korea Institute ofEnergy Technology Evaluation and Planning (KETEP), granted financialresource from the Ministry of Trade, Industry & Energy, Republic ofKorea (No. 20154030200900).

abstract: The technology of wideband code division multiple access (WCDMA) has been applied to band selective interference cancellation system (ICS) repeaters. To inspect the telecommunication quality of the systems, quality engineers must check the shape of the signals at the corresponding frequency band of the repeaters. However, measuring the signal quality is a repetitive manual task which requires much inspection time and high costs. In the case of small-sized samples, such as the example of an ICS repeater system, Bayesian approaches have been employed to improve the estimation accuracy by incorporating prior information on the parameters of the model in consideration. This research proposes a virtual method of quality inspection for products using a correlation structure of measurement data, mainly in a Bayesian regression framework. The Bayesian regression model derives prior information from historical measurement data to predict measurements of other frequency bandwidths by exploiting the correlation structure of each measurement data. Empirical results show the potential for reducing inspection costs and time by predicting the values of adjoining frequency bandwidths through measured data of a frequency bandwidth in the course of quality inspections of ICS repeater systems.

provenance: Made available in Cube on 2018-09-28T10:20:27Z (GMT). No. of bitstreams: 0

uri: http://open-repository.kisti.re.kr/cube/handle/open_repository/473470.do

Project Name: Development of decision support architecture for condition-based predictive maintenance

subject: Bayesian approach; regression; conjugate priors; ICS repeater; Markovchain Monte Carlo

A BAYESIAN VIRTUAL METROLOGY FOR QUALITY INSPECTION OF MOBILE REPEATERSYSTEMS