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A Comprehensive Approach for Detecting Brake Pad Defects Using Histogram and Wavelet Features with Nested Dichotomy

Sakthivel Gnanasekaran1,2, Lakshmi Pathi Jakkamputi2, Jegadeeshwaran Rakkiyannan2

  • 1School of Mechanical Engineering, Vellore Institute of Technology, Chennai 600127, India.

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Summary
This summary is machine-generated.

Continuous monitoring of hydraulic brake systems is vital for commercial vehicle safety. This study demonstrates a 99.45% accurate method using vibration signals and advanced algorithms to detect brake defects.

Keywords:
class-balanced nested dichotomydata-near-balanced nested dichotomyhistogram featurenested dichotomywavelet feature

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Area of Science:

  • Mechanical Engineering
  • Automotive Engineering
  • Signal Processing

Background:

  • The hydraulic brake system is a critical safety component in commercial vehicles.
  • Continuous monitoring is essential to ensure reliable brake system performance.
  • Vibration analysis offers a promising non-invasive method for condition monitoring.

Purpose of the Study:

  • To develop and evaluate a method for monitoring the hydraulic brake system using vibration signals.
  • To accurately categorize brake conditions (good vs. defective) based on extracted features.
  • To identify the most effective classification algorithm for this application.

Main Methods:

  • Experimental capture of vibration signals from commercial vehicle brake pad assemblies under normal and defective conditions.
  • Extraction of relevant features, including histograms and wavelet features.
  • Classification of extracted features using Nested dichotomy family algorithms.

Main Results:

  • Wavelet features combined with the class-balanced nested dichotomy algorithm achieved the highest accuracy.
  • A maximum classification accuracy of 99.45% was obtained.
  • The proposed method effectively distinguishes between healthy and defective brake systems.

Conclusions:

  • Vibration signal analysis, particularly using wavelet features and advanced classification, provides a highly accurate method for hydraulic brake system monitoring.
  • This approach ensures the reliability and safety of commercial vehicle braking systems.
  • Implementation of this monitoring technique enhances overall vehicle safety and operational efficiency.