In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution could be predictive maintenance. This is an approach that uses sensors and software to analyse equipment performance in real time and predict when it might fail.
Edward Khomotso Nkadimeng, a lecturer and researcher in artificial intelligence and data systems in nuclear/particle physics at Stellenbosch University, has researched how a predictive maintenance model can help keep critical systems running – from research equipment to national infrastructure. He explains why this approach could be a practical tool for resilience across Africa.
