OPMO – Digital Mining Center

DMC articles in IOP Conference Series: Earth and Environmental Science

23-25 June 2021, the Conference of PhD Students and Young Scientists was held. The conference enables young scientists from all over the world to exchange scientific and technical experiences and ideas in four thematic panels – Mining, Earth and Space Sciences, Geoengineering, and Geoinformation. The research results of DMC members have been published as part of the IOP Conference Series: Earth and Environmental Science in 11 articles.

List of articles:
https://iopscience.iop.org/issue/1755-1315/942/1?gridset=show

Banasiewicz, Aleksandra; Wroblewski, Adam; Gola, Sebastian

Preliminary sources identification of nitric oxide (NO) emissions in underground mine Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012019, 2021.

Links

Wroblewski, Adam; Banasiewicz, Aleksandra; Gola, Sebastian

Heat Balance Determination Methods for Mining Areas in Underground Mines - A Review Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012011, 2021.

Links

Goralczyk, Mateusz; Michalak, Anna; Sliwinski, Pawel

Drill bit deterioration estimation with the Random Forest Regressor Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012013, 2021.

Links

Zietek, Bartlomiej; Wodecki, Jacek; Michalak, Anna; Sliwinski, Pawel

Drill bit state-oriented drilling process classification with time-series data for wheeled drilling rigs Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012010, 2021.

Links

Rudzki, Pawel; Krot, Pavlo

Dynamics control of powered hydraulic roof supports in the underground longwall mining complex Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012014, 2021.

Links

Michalak, Anna; Wodecki, Jacek

Parametric simulator of cyclic and non-cyclic impulsive vibration signals for diagnostic research applications Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012015, 2021.

Links

Wodecki, Jacek; Michalak, Anna

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012016, 2021.

Links

Zimroz, Pawel; Shiri, Hamid; Wodecki, Jacek

Analysis of the vibro-acoustic data from test rig -comparison of acoustic and vibrational methods Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012017, 2021.

Links

Zimroz, Pawel; Wroblewski, Adam; Trybala, Pawel

Detection of a predefined acoustic pattern by a measurement system on a drone and its application to search for a missing man in an underground mine Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012018, 2021.

Links

Shiri, Hamid; Wodecki, Jacek

Analysis of the sound signal to fault detection of bearings based on Variational Mode Decomposition Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012020, 2021.

Links

Trybala, Pawel

LiDAR-based Simultaneous Localization and Mapping in an underground mine in Złoty Stok, Poland Journal Article

In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012035, 2021.

Links

Innovation in the copper industry

On 18 November 2021, an interdisciplinary scientific conference entitled: “Innovation in the copper industry” was held, organized by Jan Wyżykowski University and Centrum Badań Jakości sp. z. o.o. The theme of the conference concerned the presentation of research and project work related to the development of the copper industry. During the event, Professor Radosław Zimroz in his presentation “Interdisciplinary research and technology development at the GGG PWR Department for sustainable use of raw materials on the example of KGHM Polska Miedź S.A.”, presented innovative solutions from the project: OPMO, AMICOS, and SafeMe4Mine.

Lower-Silesian Festival of Knowledge with DMC

And once again DMC organised a worshop on digitisation and robotics in mining for university-, school-students, and others interested in innovations in the raw materials sector. For three days Adam Wróblewski and I (Mateusz Góralczyk) held virtual meetings to tell our visitors what is happening in our labs, how digital transformation of raw materials industry progresses, what robots, drones, IoT and cloud computing has to do with mining – all in the form of case-studies from AMICOS, SafeMe4Mine, OPMO, MEITIM, and MOIRA.

Some of the fascinating topics undertaken during our meetings were: how smart apps will help inspectors to ensure productivity and safety in open-pit, and underground mines, how a 3D model of a belt conveyor or an underground corridor can be created with the help of a drone carrying a digital camera or LIDAR, how we can use remotely controlled robots to identify damages of mechanical components, or to find a human in case of emergency.

Article of the year award for DMC-members and our friends!

We are proud to share the information that the winner of the inaugural Article of the Year Award in the Hindawi Publishing House for Shock and Vibration is: Development and Verification of the Diagnostic Model of the Sieving Screen written by: Pavlo Krot, Radoslaw Zimroz, Anna Michalak, Jacek Wodecki, Szymon Ogonowski, Michal Drozda, and Marek Jach.

We are very thankful for the appreciation and remain motivated to pursue with our research efforts to bring useful methods and tools to help maintain machinery in the raw materials industry (and not only) in a healthy condition ensuring efficiency and safety on-site.

If you haven’t read it yet, find our article here:

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

The work presented above has been funded by the OPMO project.

Brand new research work published!

We are proud to announce that our colleague Dr. Jacek Wodecki has just published a single-author work presenting his achievements in the generalization of a very valuable diagnostic tool used in vibration-based local damage detection, which is spectral kurtosis.

To mitigate the problems associated with the selector of such type, (namely: the accumulation of noise and other background content of signals, and its time-invariance – and in turn – its lack of adaptivity), Dr. Jacek Wodecki generalized the approach by employing a time-varying selector. Generalization of spectral kurtosis by introducing time-variance has enabled precise localiziation of impulses both: in time, and frequency domain. The selector’s performance has been proven on simulated, and real-world data, which showed its potential in increasing selectivity – crucial in highly noisy conditions.

We encourage You to get acquainted with this valuable work to be accessed by clicking below!

Wodecki, Jacek

Time-Varying Spectral Kurtosis: Generalization of Spectral Kurtosis for Local Damage Detection in Rotating Machines under Time-Varying Operating Conditions Journal Article

In: Sensors, vol. 21, no. 11, pp. 3590, 2021.

Abstract | Links

@article{wodecki2021time,

title = {Time-Varying Spectral Kurtosis: Generalization of Spectral Kurtosis for Local Damage Detection in Rotating Machines under Time-Varying Operating Conditions},

author = {Jacek Wodecki},

url = {https://www.mdpi.com/1424-8220/21/11/3590/htm},

doi = {https://doi.org/10.3390/s21113590},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Sensors},

volume = {21},

number = {11},

pages = {3590},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Vibration-based local damage detection in rotating machines (i.e., rolling element bearings) is typically a problem of detecting low-energy cyclic impulsive modulations in the measured signal. This can be challenging as both the amplitude of a single damage-related impulse and the distance between impulses might be changing in time. From the signal processing point of view, this means time varying regarding the the signal-to-noise ratio, location of information in the frequency domain, and loss of periodicity (this remains cyclic but not periodic). One of the many attempted approaches to this problem is filtration using custom filters derived in a data-driven fashion. One of the methods to obtain such filters is a selector approach, where the value of a certain statistic is calculated for individual frequency bands of a signal that results in the magnitude response of a filter. In this approach, each chosen statistic will yield different results, and the obtained filter will be focused on different frequency bands focusing on different behaviors. One of the most popular and powerful selectors is spectral kurtosis as popularized by Antoni, which uses kurtosis as an operational statistic. Unfortunately, after closer inspection, it is easy to notice that, although selectors can significantly enhance the signal, they accumulate a great deal of noise and other background content of signals, which occupies the space (or rather time) in between the impulses. Another disadvantage is that such filters are time-invariant, because, in the principle of their construction, they are not adaptive, and even slight changes in the signal yield suboptimal results either by missing relevant data when the conditions in the signal change (i.e., informative impulses widen in bandwidth), or by accumulating unnecessary noise when the relevant information is not present (in between impulses or in frequency bands that impulses no longer occupy). To address this issue, I propose generalization of the selector approach using the example of spectral kurtosis. This assumes creating a time-varying selector that can be seen as a spatial filter in the time-frequency domain. The time-varying SK (TVSK) is estimated for segments of the signal, and, instead of a vector of SK-based filter coefficients, one obtains a TVSK-based matrix of coefficients that takes into account the time-varying properties of the signal. The obtained structure is then binarized and used as a filter. The presented method is tested using a simulated signal as well as two real-life signals measured on heavy-duty bearings in two different types of machine.},

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Vibration-based local damage detection in rotating machines (i.e., rolling element bearings) is typically a problem of detecting low-energy cyclic impulsive modulations in the measured signal. This can be challenging as both the amplitude of a single damage-related impulse and the distance between impulses might be changing in time. From the signal processing point of view, this means time varying regarding the the signal-to-noise ratio, location of information in the frequency domain, and loss of periodicity (this remains cyclic but not periodic). One of the many attempted approaches to this problem is filtration using custom filters derived in a data-driven fashion. One of the methods to obtain such filters is a selector approach, where the value of a certain statistic is calculated for individual frequency bands of a signal that results in the magnitude response of a filter. In this approach, each chosen statistic will yield different results, and the obtained filter will be focused on different frequency bands focusing on different behaviors. One of the most popular and powerful selectors is spectral kurtosis as popularized by Antoni, which uses kurtosis as an operational statistic. Unfortunately, after closer inspection, it is easy to notice that, although selectors can significantly enhance the signal, they accumulate a great deal of noise and other background content of signals, which occupies the space (or rather time) in between the impulses. Another disadvantage is that such filters are time-invariant, because, in the principle of their construction, they are not adaptive, and even slight changes in the signal yield suboptimal results either by missing relevant data when the conditions in the signal change (i.e., informative impulses widen in bandwidth), or by accumulating unnecessary noise when the relevant information is not present (in between impulses or in frequency bands that impulses no longer occupy). To address this issue, I propose generalization of the selector approach using the example of spectral kurtosis. This assumes creating a time-varying selector that can be seen as a spatial filter in the time-frequency domain. The time-varying SK (TVSK) is estimated for segments of the signal, and, instead of a vector of SK-based filter coefficients, one obtains a TVSK-based matrix of coefficients that takes into account the time-varying properties of the signal. The obtained structure is then binarized and used as a filter. The presented method is tested using a simulated signal as well as two real-life signals measured on heavy-duty bearings in two different types of machine.

The work presented above has been funded by the OPMO project.

Scientists from WUST work on innovations in the processing of raw materials

As a new week began we had a guest from the ESKA Radio and a Lower-Silesian newspaper – Gazeta Piastowska, who came to ask some questions about the OPMO project. Our leader – Professor Radosław Zimroz explained how mathematicians and mining engineers work together to develop solutions making ore processing more and more efficient.

Professor Radosław Zimroz giving an interview for ESKA Radio.

DMC team-members on the first “International Workshop on MOdelling and Simulation of COmplex Systems for Sustainable Energy Efficiency”

Dr. Pavlo Krot and Dr. Jacek Wodecki presented their research achievements at the MOSCOSSE’2021 workshop organized by The Laboratory of Mechanics, Modelling and Production (LA2MP) from the University of Sfax, Tunisia, and the Department of Mechanical and Aeronautical Engineering, Centre of Asset Integrity Management (C-AIM) from University of Pretoria, South Africa.

Dr. Pavlo Krot explaining the application of the Ince-Strutt diagram of parametric stability.
Dr. Jacek Wodecki showing his approach to the separation of fault-related impulsive components from vibration signals.

It was a pleasure to see our colleagues presenting case studies and findings in such fields of complex systems studies related to three of our projects (MaMMa, OPMO, and SafeMe4Mine) as:

On-line dynamical analysis of the driveline regimes to be used as a part of mill control or a separate monitoring system,
developing remedies against torsional vibrations and cobbles in high-speed wire rod rolling mills based on dynamical models to improve product geometry and equipment durability,
Separation of fault-related impulsive components from vibration signal.

We have all broadened our horizons and learned some new valuable things thanks to the exchange of knowledge with a very interdisciplinary and skilled group of workshop participants. Thank you!

New year – new publications

Our team worked hard until the very end of 2020, and we can see the fruits of this effort as the new year begins. Part of our articles, which have been submitted at the end of December to the: Energies, Sensors, and Remote Sensing journals by MDPI, together with Elsevier’s Measurement is now ready for you to read!

In the article published in the special issue of Energies journal: “Modelling and Calculation of Raw Material Industry” Dr Pavlo Krot and Prof. Radosław Zimroz, together with co-authors from the Institute of Engineering Mechanics and Transport of the Lviv Polytechnic National University propose a design of a dual-frequency vibrating drive, that can allow achieving better energy efficiency of vibrating machines.

Gursky, Volodymyr; Kuzio, Igor; Krot, Pavlo; Zimroz, Radoslaw

Energy-Saving Inertial Drive for Dual-Frequency Excitation of Vibrating Machines Journal Article

In: Energies, vol. 14, no. 1, pp. 71, 2021.

Links

The work of MSc. Anna Michalak, Dr. Jacek Wodecki, Dr. Agnieszka Wyłomańska, Prof. Radosław Zimroz in cooperation with the engineer Michał Drozda from the Polkowice ore beneficiation plant has been published in the Sensors’ special issue: “Sensing Technology and Data Interpretation in Machine Diagnosis and Systems Condition Monitoring”. The authors presented the initial approach to constructing the signal model of the industrial vibrating sieving screen suspension vibrations, which can be used for condition monitoring purposes.

DMC is on a roll!

We are exceedingly happy to announce that the Digital Mining Center team has published a record number of journal articles at the end of this year. In the last two months of 2020, as many as 11 new papers appeared. The studies present the progress of the research conducted in the scope of all the four projects (MEITIM, AMICOS, OPMO, SafeMe4Mine) in which the team is currently involved and some more. We invite the reader to get acquainted with these works listed below:

Adach-Pawelus, Karolina; Gogolewska, Anna; Gorniak-Zimroz, Justyna; Herbert, Juan Herrera; Hidalgo, Arturo; Kielczawa, Barbara; Krupa-Kurzynowska, Joanna; Lampinen, Matti; Mamelkina, Maria A.; Paszkowska, Gabriela; Szyszka, Danuta; Tuunila, Ritva; Worsa-Kozak, Magdalena; Wozniak, Justyna

Towards Sustainable Mining in the Didactic Process—MEITIM Project as an Opportunity to Increase the Attractiveness of Mining Courses (A Case Study of Poland) Journal Article

In: Sustainability, vol. 12, no. 23, 2020.

Abstract | Links

@article{Adach-Pawelus2020,

title = {Towards Sustainable Mining in the Didactic Process—MEITIM Project as an Opportunity to Increase the Attractiveness of Mining Courses (A Case Study of Poland) },

author = {Karolina Adach-Pawelus and Anna Gogolewska and Justyna Gorniak-Zimroz and Juan Herrera Herbert and Arturo Hidalgo and Barbara Kielczawa and Joanna Krupa-Kurzynowska and Matti Lampinen and Maria A. Mamelkina and Gabriela Paszkowska and Danuta Szyszka and Ritva Tuunila and Magdalena Worsa-Kozak and Justyna Wozniak},

url = {https://www.mdpi.com/2071-1050/12/23/10138},

doi = {10.3390/su122310138},

year  = {2020},

date = {2020-12-04},

journal = {Sustainability},

volume = {12},

number = {23},

abstract = {Mining has been embedded in the public consciousness as a dirty, non-innovative, outdated and environmentally harmful industry. Proper education, especially the academic one, becomes crucial to successfully change this image. This article depicts the initial assumptions of the international project Master in Entrepreneurship, Innovation and Technology Integration in Mining (MEITIM), co-financed by EIT Raw Materials, that aims to diagnose the current state of Polish higher education in the field of mining at, among others, the Wroclaw University of Science and Technology (WUST), concerning the experience of the Technical University of Madrid (UPM) and Lappeenranta University of Technology (LUT). The MEITIM project allowed identifying the directions of necessary changes in the didactic process as an indispensable set of skills and knowledge for a future mining graduate. Such activities are dictated by many guidelines and arrangements, among others, at the level of the European Commission or key industry institutions such as the International Council on Mining and Metals. These are key competencies that require significant changes in university curricula supporting sustainable development goals in innovative mining. The authors show that there is a link between the condition of the mining industry in Poland, its reputation, and the number of people who want to study mining},

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This article depicts the initial assumptions of the international project Master in Entrepreneurship, Innovation and Technology Integration in Mining (MEITIM), co-financed by EIT Raw Materials, that aims to diagnose the current state of Polish higher education in the field of mining at, among others, the Wroclaw University of Science and Technology (WUST), concerning the experience of the Technical University of Madrid (UPM) and Lappeenranta University of Technology (LUT). The MEITIM project allowed for identifying the directions of necessary changes in the didactic process so as to provide an indispensable set of skills and knowledge for a future mining graduate.

New article published

Once again, we are proud and happy to announce that members of DMC have just published another scientific article. In the new work a procedure for vibration analysis of the sieving screens used in the raw materials industry is presented. The paper has been published in the special issue of Sensors journal entitled “Sensing Technology and Data Interpretation in Machine Diagnosis and Systems Condition Monitoring”.

The research that led to the publication of this paper has been funded by OPMO project.

For full citation – click below:

Gasior, Karolina; Urbanska, Hanna; Grzesiek, Aleksandra; Zimroz, Radoslaw; Wylomanska, Agnieszka

Identification, Decomposition and Segmentation of Impulsive Vibration Signals with Deterministic Components—A Sieving Screen Case Study Journal Article

In: Sensors, vol. 20, no. 19, pp. 5648, 2020.

Links