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Prof. Radosław Zimroz, DSc, PhD, Eng
Email: radoslaw.zimroz@pwr.edu.pl
Position: Dean
Unit: Faculty of Geoengineering, Mining and Geology » Department of Mining
ul. Na Grobli 15, 50-421 Wrocław
building L-1 (Geocentrum), room 387
phone +48 71 320 6849
Office hours
- Monday 11.00-13.00
- Wednesday 12.00-13.00
- Saturday 9.00-10.00
Research fields
- Condition monitoring; predictive maintenance; gearboxes; bearings; mining machines; signal processing; data analysis;
time varying systems; pattern recognition; process monitoring and analysis; advanced analysis; industrial BigData, IoT; monitoring systems; automation, robotics; inspection robots.
Recent papers
2018
- Żak G., Wyłomańska A., Zimroz R., Periodically impulsive behavior detection in noisy observation based on generalized fractional order dependency map, Applied Acoustics https://doi.org/10.1016/j.apacoust.2017.05.003
- Wodecki J., Michalak A., Zimroz R., Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings Mechanical Systems and Signal Processing (2018), vol. 102, 2018, pp. 102-116.
- Michalak A., Wodecki J., Wyłomańska A., Zimroz R. Application of cointegration to vibration signal for local damage detection in gearboxes Applied Acoustics (2018) https://doi.org/10.1016/j.apacoust.2017.08.024
2017
- Kruczek P., Obuchowski J., Wyłomańska A., Zimroz R., Cyclic sources extraction from complex multiple-component vibration signal via periodically time varying filter Applied Acoustics, (2017), vol 126, pp. 170-181.
- Kucharczyk D., Wyłomańska A., Zimroz R., Structural break detection method based on the Adaptive Regression Splines technique, Physica A: Statistical Mechanics and its Applications (2017), vol 471, pp. 499-511.
- Wyłomańska A., Zimroz R., Janczura J., Obuchowski J., Impulsive Noise Cancellation Method for Copper Ore Crusher Vibration Signals Enhancement, IEEE Transaction on Industrial Electronics, (2017), vol. 63, no. 9, pp. 5612 - 5621.
2016
- Hossa R., Makowski R., Zimroz R., Automatic segmentation of seismic signal with support of innovative filtering, International Journal of Rock Mechanics and Mining Sciences, (2016), vol 91, pp. 29-39.
