Sophisticated predictive maintenance based on AI is more the exception than the norm right now. As this technology and its benefits become established, that is set to change. In the future machine learning and maintenance will become ever more entwined, which will reduce reliance on personnel, cut costs, and promise more accurate and efficient predictive techniques.
The future of machine learning itself will see engineers looking to develop algorithms that can work with smaller samples of data. They are also keen to explore the potential of machine learning to analyse a wider range of types of information – images as well as sensor data, for example – to improve maintenance.
Once predictive maintenance using AI is widely established, machine learning may be used to run complex workflows for an entire facility or even oversee machine operations completely independently of workers. For now, engineers will continue to exploit the growing potential of the technology to predict machinery failure well in advance.
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