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This article discusses the increasing interest in developing advanced artificial intelligence algorithms for health monitoring and diagnostics of industrial systems. It highlights the use of various AI algorithms such as convolution neural networks, adversarial adaptation networks, and extreme learning machines to address challenges in condition monitoring, anomaly detection, fault prognostics, and diagnostics. The article also invites high-quality research articles, short communications, and reviews on this topic.