Asides

Robots left the lab to try their hands in the underground world

Last week was a very intense time for DMC. Directly after Festival of Knowledge, robots, drones and measurement equipment got packed and prepared to be taken for an underground adventure in the corridors of the former gold and arsenic mine in Złoty Stok (meaning ‘golden hillside’). Researchers from the Faculty of Geoengineering, Mining and Geology, hand in hand with young scientists from the Faculty of Mechanical Engineering tried their best, facing the problems that await electronic devices in mines.

Wheeled, tracked or legged undercarriage: what is the best choice for an underground challenge?
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Zaproszenie na Dolnośląski Festiwal Nauki

Zespół Digital Mining Center Wydziału Geoinżynierii, Górnictwa i Geologii Politechniki Wrocławskiej w ramach Dolnośląskiego Festiwalu Nauki serdecznie zaprasza na warsztaty on-line na temat:

Górnictwo – maszyny i roboty – rzeczywistość i świat wirtualny.

Przygotujcie się na przygodę z cyfrowym górnictwem. Opowiemy o tym jak roboty i drony pomagają górnikom w pracy i jak pozwalają pracować bezpieczniej. Pokażemy prawdziwą kopalnię dzięki możliwościom technologii filmowania 360. Pokażemy testy nowoczesnych urządzeń na co dzień wspierających pracę pod ziemią. Opowiemy o ciekawych międzynarodowych projektach, współfinansowanych przez EIT KIC Raw Materials, które realizuje DMC.

Warsztaty są otwarte dla wszystkich chętnych uczestników bez limitu miejsc i bez wcześniejszych zapisów.

Odbędą się on-line na platformie ZOOM w 3 terminach do wyboru:

• 21. września 2020r. o godz. 10.00 – 11.00

• 22. września 2020r. o godz. 10.00 – 11.00

• 23. września 2020r. o godz. 10.00 – 11.00

https://pwr-edu.zoom.us/j/92677353422

New research published

As always we are very happy to announce that members of DMC have published another research paper. This time it is related to dynamic modeling of vibrating sieving screen used in the mining industry. The paper has been published in the special issue of Shock and Vibration journal entitled “Advances in Fault Diagnosis and Defect Detection in Mechanical and Civil Engineering”. The work presented in this paper has been funded by OPMO project. Full citation can be found on the research page.

Krot, Pavlo; Zimroz, Radoslaw; Michalak, Anna; Wodecki, Jacek; Ogonowski, Szymon; Drozda, Michal; Jach, Marek

Development and Verification of the Diagnostic Model of the Sieving Screen Journal Article

In: Shock and Vibration, vol. 2020, pp. 1–14, 2020.

Links

Two new articles published in MSSP

We are happy to announce that members of DMC recently published two articles in Mechanical Systems and Signal Processing journal. Both of them present newly developed vibration signal processing techniques mainly aimed for machine diagnostics purposes (see references below). The work presented in those papers has been funded by MAMMA and OPMO projects. Full citations can be found on the research page.

Wodecki, Jacek; Michalak, Anna; Zimroz, Radoslaw; Wylomanska, Agnieszka

Separation of multiple local-damage-related components from vibration data using Nonnegative Matrix Factorization and multichannel data fusion Journal Article

In: Mechanical Systems and Signal Processing, vol. 145, pp. 106954, 2020.

Links

Hebda-Sobkowicz, Justyna; Zimroz, Radoslaw; Pitera, Marcin; Wylomanska, Agnieszka

Informative frequency band selection in the presence of non-Gaussian noise - a novel approach based on the conditional variance statistic with application to bearing fault diagnosis Journal Article

In: Mechanical Systems and Signal Processing, vol. 145, pp. 106971, 2020.

Links

DMC member awarded!

We are very happy to announce that our member Justyna Hebda-Sobkowicz has been awarded a diploma of prof. Ludwik Muller for the best presentation about “Conditional variance statistic in application to the local damage detection in mining machine” on the Machine Diagnostics Symposium (XLVII Ogólnopolskie Sympozjum DIAGNOSTYKA MASZYN) that we have recently attended.

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Article published in Signal Processing Journal

We are pleased to report that the Signal Processing Journal recently published an article written by Radosław Zimroz and Agnieszka Wyłomańska in collaboration with their common Ph.D. student Piotr Kruczek, see reference below. Full citation can be found on the research page.

Kruczek, Piotr; Zimroz, Radoslaw; Wylomanska, Agnieszka

How to detect the cyclostationarity in heavy-tailed distributed signals Journal Article

In: Signal Processing, vol. 172, pp. 107514, 2020.

Links