Acoustic-based diagnostics of belt conveyor idlers in real-life mining conditions by mobile inspection robot
Acoustic-based diagnostics of belt conveyor idlers in real-life mining conditions by mobile inspection robot
Belt conveyors are commonly used for the transportation of bulk materials, mainly in mining industry. Due to the number of idlers to be monitored, the size of the conveyor, and the risk of accidents when dealing with rotating elements and moving belts, monitoring of all idlers (i.e. using vibration sensors) is impractical regarding scale and connectivity. The application of the inspection robot can "replace" the classical measurement done by maintenance crews. In this paper, a method based on application of mobile inspection robot for capturing acoustic signals instead of commonly used vibrations is proposed. Furthermore, the authors show that damage detection in bearings of idlers using acoustic data is possible, even in the presence of a significant amount of background noise. Influence of the sound disturbance due to the belt joints and other factors can be minimized by appropriate signal processing methods.
535-543
Departement Werktuigkunde, KU Leuven
Wodecki, J.
bed412ce-c860-4637-9aee-34685199239d
Shiri, H.
7a4304e3-a4bc-4007-961b-29530af225fd
Siami, M.
e73d49d1-b89d-44e8-825e-7a3b44d83786
Zimroz, R.
d3d00d36-da1f-411b-8f02-22871182ff08
2022
Wodecki, J.
bed412ce-c860-4637-9aee-34685199239d
Shiri, H.
7a4304e3-a4bc-4007-961b-29530af225fd
Siami, M.
e73d49d1-b89d-44e8-825e-7a3b44d83786
Zimroz, R.
d3d00d36-da1f-411b-8f02-22871182ff08
Wodecki, J., Shiri, H., Siami, M. and Zimroz, R.
(2022)
Acoustic-based diagnostics of belt conveyor idlers in real-life mining conditions by mobile inspection robot.
Desmet, W., Pluymers, B., Moens, D. and Neeckx, S.
(eds.)
In Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics.
Departement Werktuigkunde, KU Leuven.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Belt conveyors are commonly used for the transportation of bulk materials, mainly in mining industry. Due to the number of idlers to be monitored, the size of the conveyor, and the risk of accidents when dealing with rotating elements and moving belts, monitoring of all idlers (i.e. using vibration sensors) is impractical regarding scale and connectivity. The application of the inspection robot can "replace" the classical measurement done by maintenance crews. In this paper, a method based on application of mobile inspection robot for capturing acoustic signals instead of commonly used vibrations is proposed. Furthermore, the authors show that damage detection in bearings of idlers using acoustic data is possible, even in the presence of a significant amount of background noise. Influence of the sound disturbance due to the belt joints and other factors can be minimized by appropriate signal processing methods.
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Published date: 2022
Venue - Dates:
30th International Conference on Noise and Vibration Engineering, ISMA 2022 and 9th International Conference on Uncertainty in Structural Dynamics, USD 2022, , Leuven, Belgium, 2022-09-12 - 2022-09-14
Identifiers
Local EPrints ID: 508697
URI: http://eprints.soton.ac.uk/id/eprint/508697
PURE UUID: 1b478621-459d-412c-acbe-e856eb96d522
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Date deposited: 30 Jan 2026 17:39
Last modified: 30 Jan 2026 17:39
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Contributors
Author:
J. Wodecki
Author:
H. Shiri
Author:
M. Siami
Author:
R. Zimroz
Editor:
W. Desmet
Editor:
B. Pluymers
Editor:
D. Moens
Editor:
S. Neeckx
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