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无传感器驱动诊断数据集

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帕依提提2024-03-04 收录
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Owner of database: Martyna Bator (University of Applied Sciences, Ostwestfalen-Lippe, martyna.bator '@' hs-owl.de) Donor of database: Martyna Bator (University of Applied Sciences, Ostwestfalen-Lippe, martyna.bator '@' hs-owl.de) Data Set Information: Features are extracted from electric current drive signals. The drive has intact and defective components. This results in 11 different classes with different conditions. Each condition has been measured several times by 12 different operating conditions, this means by different speeds, load moments and load forces. The current signals are measured with a current probe and an oscilloscope on two phases. Attribute Information: The Empirical Mode Decomposition (EMD) was used to generate a new database for the generation of features. The first three intrinsic mode functions (IMF) of the two phase currents and their residuals (RES) were used and broken down into sub-sequences. For each of this sub-sequences, the statistical features mean, standard deviation, skewness and kurtosis were calculated. Relevant Papers: PASCHKE, Fabian ; BAYER, Christian ; BATOR, Martyna ; M?–NKS, Uwe ; DICKS, Alexander ; ENGE-ROSENBLATT, Olaf ; LOHWEG, Volker: Sensorlose Zustands??berwachung an Synchronmotoren, Bd. 46. In: HOFFMANN, Frank; H??LLERMEIER, Eyke (Hrsg.): Proceedings 23. Workshop Computational Intelligence. Karlsruhe : KIT Scientific Publishing, 2013 (Schriftenreihe des Instituts f??r Angewandte Informatik - Automatisierungstechnik am Karlsruher Institut f??r Technologie, 46), S. 211-225 Citation Request: Please refer to the Machine Learning Repository's citation policy

数据库所有者:玛尔蒂娜·巴托尔(Martyna Bator)(奥斯威斯特伐利亚-利佩应用科技大学,邮箱:martyna.bator@hs-owl.de) 数据库捐赠者:玛尔蒂娜·巴托尔(Martyna Bator)(奥斯威斯特伐利亚-利佩应用科技大学,邮箱:martyna.bator@hs-owl.de) 数据集说明:特征从电驱动电流信号中提取。该驱动包含完好与故障组件,由此形成11种不同工况类别。每种工况均通过12种不同运行条件进行多次测量,涵盖不同转速、负载力矩与负载力。电流信号通过电流探头与示波器在两相上采集。 属性说明:采用经验模态分解(Empirical Mode Decomposition,EMD)生成特征数据库。提取两相电流的前三项本征模函数(Intrinsic Mode Function,IMF)及其残差(RES),并将其拆分为若干子序列。针对每个子序列,计算以下统计特征:均值、标准差、偏度与峰度。 相关文献:PASCHKE, Fabian;BAYER, Christian;BATOR, Martyna;MÖNKS, Uwe;DICKS, Alexander;ENGE-ROSENBLATT, Olaf;LOHWEG, Volker:《同步电机无传感器状态监测》(Sensorlose Zustandsüberwachung an Synchronmotoren),第46卷。收录于:HOFFMANN, Frank;HÖLLERMEIER, Eyke(主编):《第23届计算智能研讨会论文集》。卡尔斯鲁厄:KIT科学出版社,2013年(卡尔斯鲁厄理工学院应用信息学-自动化技术研究所论文集,第46卷),第211-225页。 引用要求:请遵循机器学习仓库的引用政策。
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背景与挑战
背景概述
该数据集是一个用于无传感器驱动诊断的工业制造数据集,由Martyna Bator提供,大小为24.4M。它基于电流驱动信号提取特征,涵盖11个不同组件条件类别,并在12种操作条件下进行测量,旨在通过统计分析方法支持驱动状态监测和故障检测。
以上内容由遇见数据集搜集并总结生成
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