Machine Learning For Bearing Fault Detection | Feature Extraction | Data Preprocessing | PART-1

Опубликовано: 11 Февраль 2025
на канале: Intelligent Machines

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#machinelearningtutorial #machinelearning #DatadrivenPrognostics #DatadrivenFaultDiagnosis

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This video series demonstrates the use of a machine-learning algorithm to predict the faults in a bearing. This first section will see the data preprocessing part and how we can read the data from the given text file and do the feature extraction from the obtained data to get meaningful features. In this case, we have extracted time domain features from the given acceleration data and saved them in a CSV file. In the later part of this series, we will use the preprocessed data to train machine learning algorithms that will be able to predict the faults in a Bearing.

github-
https://github.com/mohan696matlab/IMS...

dataset-
https://www.kaggle.com/datasets/vinay...

reference-
https://github.com/biswajitsahoo1111

LinkedIn - / balyogi-mohan-dash