The table "predictive_maintenance.csv" contains data on various parameters related to machinery maintenance, such as temperature, speed, torque, and tool wear. This data can be used to predict and prevent failures in the machinery, improving efficiency and reducing downtime. (AI-generated)
UDI, Product ID, Type, Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min], Target, Failure Type