MATLAB: How to predict course of a graph

forecastmachine learningMATLABpredictive maintenancePredictive Maintenance ToolboxStatistics and Machine Learning Toolbox

I've got measuring data from sensors and the belonging times in an excel table.
Now I want to make a statement when an assumed value could be fall below or exceeds an assumed value. (predictive maintenance)
I want to do this with machine learning methods.
Which toolbox should i use? And whrere can i specify the limits which matlab should use to give me a response of when the case of reaching a limit yould occur?
Are there any possibilities and how can I get there?
Thank you for answers!

Best Answer

Hi,
Statistics and Machine Learning Toolbox and Curve Fitting Toolbox provide apps and functions for fitting curves and surfaces to data, and to describe, analyse and model the data. You could apply linear regression/nonlinear fitting, or you could extract features from data using supervised/unsupervised learning techniques by identifying a subset of features (if your data exhibits some common pattern) and applying machine learning models.
Also, the above told toolboxes provide you with apps as well, information for which can be found here (link1and link2).
Related Question