Machine Learning For Bearing Fault Detection | Data Preprocessing and Visualization | PART-2

#machinelearningtutorial #machinelearning #DatadrivenPrognostics #DatadrivenFaultDiagnosis This video series demonstrates the use of a machine-learning algorithm to predict the faults in a bearing. In this PART-2, data is visualized and Fault-labels are created to convert this problem as a classification task. Total 4 fault categories are created i.e. Normal, Outer Race Fault, Inner Race Fault and Rolling Element Fault. Github- https://github.com/mohan696matlab/IMS-Bearing-Fault-Diagnosis/blob/main/IMS%20bearing%20Data%20Visualization.ipynb dataset- https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/ reference- https://github.com/biswajitsahoo1111 Linkedin - https://www.linkedin.com/in/b-mohan-dash-91013a155/