Data-driven wear monitoring for sliding bearings using acoustic emission signals and long short-term memory neural networks

Driven by the potential applications of sliding bearings in planetary gearboxes for wind turbines, the wear prognosis of heavy loaded sliding bearings under low rotational speeds is an important aspect. The aims of this study are to identify an adequate condition monitoring technique and demonstrate...

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