Paper
26 March 2001 Application of wavelets for online laser process observer
Christoph Steiger, Thomas Gruenberger, Arnold Braunsteiner, Markus Bohrer, Manfred Bammer
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Abstract
The online system, plasmo process observer, enables observation of plasma created by e.g. laser welding in two frequency bands, visible and near infrared. The system offers the feature of online detection of failures like pores and enables the user to store the measured data in databases. This paper deals with both aspects. First the application of wavelets for data preprocessing as a first step of online classification of failures is introduced. This time scale-analysis is compared to standard algorithms in frequency or time domain like DFT or digital filters respectively. The second part of this paper shows the capabilities of wavelets for data compression. This is necessary due to the large amount of data generated by the system. It is shown how important data can be extracted of noisy signals by using wavelets. The process observer has been successfully implemented in welding and drilling applications for automotive and aerospace industry with a very high recognition rate of all defects.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christoph Steiger, Thomas Gruenberger, Arnold Braunsteiner, Markus Bohrer, and Manfred Bammer "Application of wavelets for online laser process observer", Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); https://doi.org/10.1117/12.421202
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Wavelets

Digital signal processing

Laser welding

Laser processing

Signal processing

Data compression

Compact discs

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