The reliability of brake systems for key mining components is crucial to maintain peak productivity and throughput. Svendborg shares how clients can upgrade their systems to reduce the time and cost associated with on-site inspections and maintenance activities. Their solution combines IIoT and data analytics technologies to offer remote, real-time monitoring and predictive maintenance to their braking systems.

A great example of one of the world’s largest gold miner integrating an asset optimization system with IIOT wireless sensors to monitor critical assets throughout their operations. The wireless Predictive Maintenance program paid for itself within six months and demonstrated increases in asset reliability, personnel efficiency and production. Discover how asset data is automatically collected and analysed with machine learning algorithms to predict equipment problems.