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Leosuziqi / Fault-Prediction-for-Industrial-Motors-using-Machine-Learning

Predictive Maintenance of Induction Motors using Deep Learning Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network
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Can you upload the CSV data for training? Thank you! #2

Open HBURobot opened 1 year ago

HBURobot commented 1 year ago

Can you upload the CSV data for training? Thank you!

Leosuziqi commented 1 year ago

Sorry, the raw data is confidential for our company, so I can't share it publicly.

HBURobot commented 1 year ago

Okay, thank you, and another question, what parameters, features or labels of the motor are included in the dataset you use for training or deep learning?

Leosuziqi commented 1 year ago

We noraml use industrial AC motors (20HP, 1750RPM, 230/460V, 3PH, 47/23.5A) from BALDOR or WEG. We are trying to extend the ML model to more types of motors.

HBURobot commented 1 year ago

Okay, thank you, I'm referring to what information about the motor is included in the dataset you used to train the model and deep learning, that is, what data you collected about the motor, such as: current, voltage, torque, etc.

HBURobot commented 1 year ago

Can you publish the version number of the environment library package you use for programming and the corresponding library? Thank you!