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New Christian Doppler Laboratory for Signal Processing and Machine Learning in the Steel Industry
The Christian Doppler (CD) laboratory at the Johannes Kepler University (JKU), Linz, Austria, is being implemented together with voestalpine Stahl GmbH. Headed by Dr. techn. Oliver Lang (Institute of Signal Processing at the JKU), the laboratory will be working on the development of theoretical principles and algorithms to improve signal processing for monitoring steel manufacturing processes for the next few years. Production processes – such as those at voestalpine Stahl GmbH – are monitored by sensors whose signals are processed by specialized algorithms. This step is supposed to help detect defects and unexpected conditions at an early stage. There area various kinds of signals.
“One type of signal that occurs frequently are so-called approximate periodic signals”, Oliver Lang explains. “There has been very little research on these signals in the past and we only have very few algorithms that are able to process them. The reason they occur so often in the manufacturing plants at voestalpine is because of the many continuous processes that are required when manufacturing steel bands. The rotations and oscillations this generates create these almost periodic signals, but they also cause a lot of critical interfering signals.”
By jointly developing know-how in the area of signal processing, this cooperation will make an important contribution to optimizing process monitoring. The algorithms will be developed to be as versatile as possible, so that they can also be used in other areas of the entire voestalpine Group. This will maximize voestalpine’s long-term benefits from CD lab’s results. The CD Laboratory for Signal Processing and Machine Learning in the Steel Industry will run until 2032 and is endowed with EUR 2,7 million. CD labs are financed by the public sector and the participating companies. Funded by the Austrian Federal Ministry of Economy, Energy and Tourism (BMWET), Christian Doppler Laboratories conduct applied basic research at the highest level by bringing together outstanding scientists with innovative companies.
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