基于长短时记忆的船舶涡轮增压器运行状态趋势预测 / State Trend Prediction of Marine Turbocharger Based on LSTM and Deviation Correction
- Resource Type
- Academic Journal
- Source
- 上海船舶运输科学研究所学报 / Journal of Shanghai Scientific Research Institute of Shipping. 46(2):28-32
- Subject
船舶涡轮增压器 趋势预测 健康管理 长短时记忆(LSTM) - Language
- Chinese
- ISSN
- 1674-5949