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Chair of Electronic Measurement and
Diagnostic Technology
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Publications from the Chair of Electronic Measurement and Diagnostic Technology

Intelligent Signal Processing in an Automated Measurement Data Analysis System
Citation key isernhagen2007
Author Isernhagen, H and Neemann, H and Kühn, S and Gühmann, C
Title of Book Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007), Honolulu, USA
Pages 83-87
Year 2007
Note The poster presentation can be found here: http://www.mdt.tu-berlin.de/forschung/projekte/fahrzeugmessdaten/ciisp07-posterA4.pdf
Publisher IEEE
Abstract In the automotive sector a huge amount of measurement data is recorded for validation and safeguarding of vehicle components. These data has to be automatically evaluated for an effective data analysis. Therefore, we need a sophisticated approach, which offers a flexible and powerful parametrisation and different signal processing algorithms for multiple applications. In this paper software and signal evaluation modules for an automated analysis of vehicle measurement data are presented. The data can be evaluated signal or message based with a parametrisation with reusable XML templates. Exemplary, we describe three evaluation modules integrating different signal processing approaches: signal analysis using an analytical signal description in combination with fuzzy logic, an efficient sliding frequency detection and the detection of predefined patterns using a modified dynamic time warping algorithm. Furthermore, an approach for a connected evaluation in consideration of time correlation is presented. Concluding, we discuss a practical application.
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