AI4I2020 Metadata & Documentation
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资源简介：
The AI4I 2020 Predictive Maintenance Dataset (located in `Artifacts & Workflow/data/`) consists of 10,000 observations of a simulated milling machine. - Structure: Tabular data with 14 features. - Size: 10,000 rows. - Key Features: - Process Variables: Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min]. - Product Information: Type (Low/Medium/High quality variants). - Target Variable: `Machine failure` (Binary: 0 or 1). - Failure Modes: Five specific failure types (TWF, HDF, PWF, OSF, RNF) tracked as binary flags.
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Zenodo创建时间：
2025-12-11
