In algorithm design for predictive maintenance, basic data preprocessing is often necessary to clean the data and perform other preliminary operations such as signal labeling prior to applying more specialized feature-focused processing. You can perform data preprocessing on arrays or tables of measured or simulated data that you manage with Predictive Maintenance Toolbox™ ensemble datastores. For an overview of some common types of data preprocessing, see Data Preprocessing for Condition Monitoring and Predictive Maintenance.
- Data Preprocessing for Condition Monitoring and Predictive Maintenance
Use signal-processing techniques to preprocess data, cleaning it and converting it into a form from which you can extract condition indicators. Knowledge of your system can help you choose an appropriate preprocessing approach.