Researchers propose AI-based approach to contactless machine failure detection

The world’s largest manufacturers lose 1 trillion dollars per year to machine failure. Many problems lie in the noisy factory environment—working equipment and processes produce high sound, consequently, machinery faults are often unheard or for that reason detected too late. Researchers from the Kaunas University of Technology (KTU) have proposed an artificial intelligence-based method for different mechanical failures detection in a noisy environment. The new solution is not only sustainable—equipment can be easily digitalised, without remodeling it—but also relatively low cost.

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