Factors influencing conveyor belt service life: A case study based on regression analysis with interaction effects
Abstract
The aim of this study was to analyse the relationships between selected technical and operational parameters and the service life of conveyor belts using data obtained from real operating conditions. A total of 18 conveyor belts were analysed, characterised by belt thickness, belt width, conveyor length, belt speed, specific conveying capacity, and recorded service life. The relationships were evaluated using Pearson correlation analysis, multiple linear regression, and subsequently an interaction model. Conveyor length showed the strongest standardised effect, while significant interactions were identified between belt thickness and conveyor length, belt speed, and specific conveying capacity. The strongest interaction was observed between belt thickness and specific conveying capacity. The results indicate that operating conditions should not be evaluated independently of the structural characteristics of the belt. Given the small sample size, the findings should be considered exploratory; nevertheless, they highlight the importance of interaction effects in service-life assessment and may support conveyor belt selection and maintenance planning.
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