About this document
Gearbox Fault Detection with AutoML by nguyenxuanhai3110 is a document available to read on EtoBox.
The document outlines a project focused on gearbox vibration analysis using AutoML and machine learning techniques to detect faults in gearboxes through vibration data analysis. It details methodologies for data preprocessing, feature engineering, and the application of machine learning models such as SVM and Random Forest for predictive maintenance. Additionally, it discusses outlier detection using the Elliptical Envelope method to enhance data quality and fault detection.
- Author
- nguyenxuanhai3110
- Language
- EN