A.4 Characteristics of experiments from the learning dataset A.5 Characteristics of experiments from the test dataset 注:全文翻译自IEEE PHM 2012 Prognostic challenge Outline, Experiments, Scoring of results, Winners
1.2 Challenge datasets PHM 挑战数据集由 FEMTO-ST 研究所（法国贝桑松，http://www.femto-st.fr/...
This is a dataset that was used for the PHM IEEE 2012 Data Challenge. It used to be online athttp://www.femto-st.fr/en/Research-departments/AS2M/Research-groups/PHM/IEEE-PHM-2012-Data-challenge.php, but isn't anymore. The set contains a training set of 6 rolling bearings that were ...
This is a dataset that was used for the PHM IEEE 2012 Data Challenge. It used to be online athttp://www.femto-st.fr/en/Research-departments/AS2M/Research-groups/PHM/IEEE-PHM-2012-Data-challenge.php, but isn't anymore. The set contains a training set of 6 rolling bearings that were ...
This branch is1 commit behindLucky-Loek/ieee-phm-2012-data-challenge-dataset:master. README IEEE PHM 2012 Data Challenge Dataset This is a dataset that was used for the IEEE PHM 2012 Data Challenge. It used to be online athttp://www.femto-st.fr/en/Research-departments/AS2M/Research-group...
Since the estimated RUL values for PHM08 data challenge can only be submitted once and there are no information to pre-validate the dataset with true RUL [2], the model in [1] is first experiment by reconstructed secondary test databases extracted from the multi-dimensional degradation patterns...
7、PHM08 Challenge Data Set(PHM08 挑战赛数据集) 数据描述 Data from the data challenge competition held at the 1st international conference on Prognostics and Health Management (PHM08) is being made publicly available. The dataset is similar to the one posted above (see Turbofan engine degradation...
Data-Challenge-2021 数据挑战:2021年 在本届年度PHME数据挑战赛中,邀请参与者演示最新算法和模型的应用,以对制造生产线进行故障检测,分类和根本原因识别。 与瑞士电子和微技术中心(CSEM)合作,为此次比赛提供了对真实工业测试台生成的丰富数据集的专有访问权。 有关数据挑战及其注册的更多信息,请访问网页。 在这里,...
Finally, the effectiveness of the proposed method is proved by the IEEE PHM 2012 data challenge dataset. Compared with the multiscale convolutional neural ... X Song,Q Zhang,R Sun,... - 《International Journal of Intelligent Systems》 被引量: 0发表: 2023年 ...
data/ 目录下存放的是原始传感器数据,通常为CSV或MAT文件格式。 labels/ 目录下存放的是对应的标签数据,通常为CSV文件格式。 标签类型: 故障类型 故障程度 其他相关特征 数据增广:数据集未做数据增广,用户可以根据需要自行进行数据增广。 无需预处理:数据集已经过处理,可以直接用于训练,无需额外的数据预处理步骤。