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Stefan Twieg

Selbstlernende akustische Mustererkennung zur Erfassung von Bauteilfehlern im Automobil

Universität Rostock, 2010

Abstract: The main focus of this doctoral thesis at the Volkswagen Group Research and the Institute of Electronic Appliances and Circuits of University Rostock is on the development of concepts and algorithms for automatic analysis of interior vehicle sound with applications in quality control, production and dealer workshops. The main target, to calculate and analyse the parameters, whether a normal interior sound or a noticeable noise occurs, is reached by neural network algorithms. Self-Organizing Maps are used for the interpretation of acoustic patterns of two research vehicles.

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