Leszek Jurdziak

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associate professor

Wroclaw University of Science and Technology

Poland

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About

Leszek Jurdziak is an associate professor at Wroclaw University of Science and Technology in Poland. His research focuses on conveyor systems, particularly in the areas of energy efficiency, diagnostics, and predictive modeling. Recent publications include studies on the impact of load variability on energy consumption, neural network-based damage classification, and non-destructive diagnostics for conveyor belt assessment.

Recent Grants

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Strategies and scenarios Technological development and utilization of mineral deposits of rock.

Open Date: 2009-10-01

Close Date: 2013-03-31

Articles (16)

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2025

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Collaborators (3)

Ryszard Błażej

dr hab ing/ associate professor

Wroclaw University of Science and Technology

POLAND

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Aleksandra Rzeszowska

Wroclaw University of Science and Technology

POLAND

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Anna Burduk

University of Wrocław

POLAND

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Leszek Jurdziak

Research Interests

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About

Recent Grants

Articles (16)

Balancing Load and Speed: A New Approach to Reducing Energy Use in Coal Conveyor Systems

Feasibility Study of Neural Network-based Classification of Conveyor Belt Damage Using Partial DiagBelt Data

Analysis of Uncertainty in Conveyor Belt Condition Assessment Using Time-Based Indicators

Sensor-Based Diagnostics for Conveyor Belt Condition Monitoring and Predictive Refurbishment

Non-Destructive Diagnostics in the Assessment of Splice Geometry in Steel Cord Conveyor Belts

Electric Energy Needs of Belt Conveyors in One of the Polish Lignite Mines - Method of Analysis

Impact of Monthly Load Variability on the Energy Consumption of Twin Belt Conveyors in a Lignite Mine

Predictive Modeling of Conveyor Belt Deterioration in Coal Mines Using AI Techniques

Improving the effectiveness of the DiagBelt+ diagnostic system - analysis of the impact of measurement parameters on the quality of signals

Using RES Surpluses to Remove Overburden from Lignite Mines Can Improve the Nation’s Energy Security

Profitability of Conveyor Belt Refurbishment and Diagnostics in the Light of the Circular Economy and the Full and Effective Use of Resources

Innovative diagnostic device for thickness measurement of conveyor belts in horizontal transport

Identification of damage development in the core of steel cord belts with the diagnostic system

Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts

Analysis and risk assessment of the supply of copper ore in the belt conveyor system in an underground mine

Copper Ore Quality Tracking in a Belt Conveyor System Using Simulation Tools

Collaborators (3)

Ryszard Błażej

Aleksandra Rzeszowska

Anna Burduk

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