文章为《Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics》 摘要-近年来,航空、航天、铁路,石油已经从基于状态的纠正/预防性维护(CBM)。 CBM 的推动者之一是预测它主要处理的剩余使用寿命的预测工程资产。除了基于物理学的方法外,数据然而,驱动方法被广泛用于预测目的后一种技术需要运行到失败数据...
Make sure to have the CMAPSS dataset files at data/ncmapss/N-CMAPSS_DS02-006.h5 (you can use other subsets by modifying arguments in bayesful/ncmapss/generate_files.py) Launch the script poetry run python -m bayesrul.ncmapss.generate_files It will create the necessary parquet and lmdb ...
Experiments analysis using the CMAPSS dataset are conducted and the experimental results demonstrate that the predictive performance of the model is better than other existing methods. 展开 会议名称: International conference on the Efficiency and Performance Engineering Network ...