Abstract:Prognostics and Health Management occupies an important place in modern industrial maintenance to increase the reliability of systems. Maintenance of critical parts in the system is vital for successful prognostics and health management. For this reason, the determining remaining useful life of the parts should be accurate. This study proposes a data-based remaining useful life prediction method with a network consisting of a cascade-connected Self-Attention and Residual Network layer. The network is fed by mu… Show more
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