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This article discusses the use of artificial intelligence in fault detection, diagnosis, and prognosis applications in the fourth industrial revolution. It highlights the potential of deep learning in enhancing equipment’s ability to perceive its own health state and predict future behavior. The article also mentions current innovations and engineering achievements in this area and invites submissions for a special issue on the topic.
