Development of a Real-Time Fault Detection Model for Hydraulic Brake Systems Using Vibration Analysis and Machine Learning With Wavelet Features

Development of a Real-Time Fault Detection Model for Hydraulic Brake Systems Using Vibration Analysis and Machine Learning With Wavelet Features

Advancements in automotive technology have led to a steady increase in vehicle usage, making it crucial to monitor various control systems, particularly the brake system. This study focuses on using feature-based analysis and various algorithmic approaches to diagnose faults in the hydraulic braking...

Full description

Saved in:
Bibliographic Details
Main Authors: G. Sakthivel, D. Saravanakumar, R. Jegadeeshwaran, R. Rajakumar, T. M. Alamelu Manghai, S. Abirami
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Wavelet feature
machine learning
CHIRP
ForestPA
SysFor
Hoeffding tree
Online Access:https://ieeexplore.ieee.org/document/10766590/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items