Findings from Shandong University Reveals New Findings on Networks (Dual-aspect Self-attention Based On Transformer for Remaining Useful Life Prediction)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on Networks. According to news reporting from Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “Remaining useful life (RUL) prediction is one of the key technologies of condition-based maintenance (CBM), which is important to maintain the reliability and safety of industrial equipment. Massive industrial measurement data has effectively improved the performance of the data-driven-based RUL prediction method.”