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Vibration-Based Fault Diagnosis Study on a Hydraulic Brake System Using Fuzzy Logic with Histogram Features

Alamelu Manghai T Marimuthu1, Jegadeeshwaran Rakkiyannan2,*, Lakshmipathi Jakkamputi1, Sugumaran Vaithiyanathan1, Sakthivel Gnanasekaran2

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, 600127, India
2 Centre for Automation, School of Mechanical Engineering, Vellore Institute of Technology, Chennai, 600127, India

* Corresponding Author: Jegadeeshwaran Rakkiyannan. Email: email

Structural Durability & Health Monitoring 2022, 16(4), 383-396. https://doi.org/10.32604/sdhm.2022.011396

Abstract

The requirement of fault diagnosis in the field of automobiles is growing higher day by day. The reliability of human resources for the fault diagnosis is uncertain. Brakes are one of the major critical components in automobiles that require closer and active observation. This research work demonstrates a fault diagnosis technique for monitoring the hydraulic brake system using vibration analysis. Vibration signals of a rotating element contain dynamic information about its health condition. Hence, the vibration signals were used for the brake fault diagnosis study. The study was carried out on a brake fault diagnosis experimental setup. The vibration signals under different fault conditions were acquired from the setup using an accelerometer. The condition monitoring of the hydraulic brake system using the vibration signal was processed using a machine learning approach. The machine learning approach has three phases, namely, feature extraction, feature selection, and feature classification. Histogram features were extracted from the vibration signals. The prominent features were selected using the decision tree. The selected features were classified using a fuzzy classifier. The histogram features and the fuzzy classifier combination produced maximum classification accuracy than that of the statistical features.

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APA Style
Marimuthu, A.M.T., Rakkiyannan, J., Jakkamputi, L., Vaithiyanathan, S., Gnanasekaran, S. (2022). Vibration-based fault diagnosis study on a hydraulic brake system using fuzzy logic with histogram features. Structural Durability & Health Monitoring, 16(4), 383-396. https://doi.org/10.32604/sdhm.2022.011396
Vancouver Style
Marimuthu AMT, Rakkiyannan J, Jakkamputi L, Vaithiyanathan S, Gnanasekaran S. Vibration-based fault diagnosis study on a hydraulic brake system using fuzzy logic with histogram features. Structural Durability Health Monit . 2022;16(4):383-396 https://doi.org/10.32604/sdhm.2022.011396
IEEE Style
A.M.T. Marimuthu, J. Rakkiyannan, L. Jakkamputi, S. Vaithiyanathan, and S. Gnanasekaran, “Vibration-Based Fault Diagnosis Study on a Hydraulic Brake System Using Fuzzy Logic with Histogram Features,” Structural Durability Health Monit. , vol. 16, no. 4, pp. 383-396, 2022. https://doi.org/10.32604/sdhm.2022.011396



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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