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This paper investigates fully automated condition monitoring of belt splices within operational belt conveyor systems, using IoT devices to predict and inform on potential belt breakage or tearing. Such events cause production stops and potentially harm workers. Belt splices are laminated belt connections subject to deterioration during operation and are usually weak spots. The proposed scheme circumvents manual inspection efforts and uses the HOSCHiris DISCOVER IoT device for sensing and data acquisition. Each belt conveyor is equipped with one individual IoT device acquiring the motion signal of the scraper which is used to learn signal patterns of the pulley and the belt to identify both location and deterioration of the individual splices. Deterioration is characterized from an initial healthy condition to a severe condition of the splice to inform on the potential need for action. To assess the feasibility of the scheme, several tests are designed and performed in an industrial belt conveyor system. The results indicate that the scheme can provide valuable insights into the splice condition and its degradation.
Lindström et al. (Thu,) studied this question.