Can I read Sound-Based Fault Detection in UAV Motors on EtoBox?

Sound-Based Fault Detection in UAV Motors by fong jeff is a document available to read on EtoBox.

What is Sound-Based Fault Detection in UAV Motors about?

This document describes a study that developed a sound-based method for fault detection in unmanned aerial vehicle (UAV) motors using statistical feature extraction and machine learning. The researchers created propeller, eccentric, and bearing failures in three different UAV motors and collected sound data. They applied signal preprocessing, statistical feature extraction, and machine learning algorithms like decision trees, support vector machines, and k-nearest neighbors to classify the fault types. For

Author

fong jeff

Language

EN