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Machines whisper before they scream: we built an AI model that predicts expensive problems

By Edward Khomotso Nkadimeng, Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University
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…The Conversation


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