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Intelligent diagnostic system for conveyor belt maintenance

Radosław Zimroz 1  ,  
 
1
Politechnika Wrocławska: Zakład Systemów Maszynowych
2
Centrum im. Hugona Steinhausa, Instytut Matematyki i Informatyki
3
KGHM CUPRUM sp. z o.o.
Mining Science 2014;21(Special Issue 2):99–109
ABSTRACT:
The paper deals with the concept of an intelligent system for the damage detection, diagnosis and computer-aided maintenance management system for conveyor belts using the Condition Based Maintenance approach. The structure of the system and some key elements are described in the paper. Some modules of the system have been already completed, while others are under construction. Hence the article deals with the concept rather than a finished product. Holistic view to the problem is necessary because ultimately the wider context of the conveyor system maintenance management system is expected. A Diag Manager, precursor of proposed intelligent system, has been developed several years ago for transmissions used in conveyor drives. Our intent is to exploit experience with Diag Manager and to extend this idea to belts and other components of the conveyor in future. A key element of this article is to use the elements of artificial intelligence (AI) and machine learning to support maintenance management. AI might relate to data validation, determining the decision thresholds, the decision regarding release to continue service or exchange the belt. Application of artificial intelligence seems to be necessary due to necessary development of objective knowledge in a formalized form regarding the operation of conveyor belts.
CORRESPONDING AUTHOR:
Radosław Zimroz   
Politechnika Wrocławska: Zakład Systemów Maszynowych, ul. Na Grobli 15, 50-421 Wrocław
 
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