A Bayesian Virtual Metrology for Quality Inspection of Mobile Repeater Systems

Journal title

Management and Production Engineering Review




No 4

Publication authors


Management of Technology and Innovation ; Management Science and Operations Research ; Industrial and Manufacturing Engineering ; Business and International Management ; Organizational Behavior and Human Resource Management

Divisions of PAS

Nauki Techniczne


<jats:title>Abstract</jats:title><jats:p>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.</jats:p>


Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management




ISSN 2080-8208 ; eISSN 2082-1344