Feature-Based Vibration Monitoring of a Hydraulic Brake System Using Machine Learning

作     者：T.M.Alamelu Manghai R.Jegadeeshwaran 

作者机构：School of Mechanical and Building SciencesVIT University Chennai CampusChennaiTamil NaduIndia-600127 

出 版 物：《Structural Durability & Health Monitoring》 (结构耐久性与健康监测（英文）)

年 卷 期：2017年第11卷第2期

页      面：149-167页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Vibration signals statistical features histogram features wavelet decomposition machine learning decision tree 

摘      要：Hydraulic brakes in automobiles are an important control component used not only for the safety of the passenger but also for others moving on the ***,monitoring the condition of the brake components is *** brake elements can be monitored by studying the vibration characteristics obtained from the brake system using a proper signal processing technique through machine learning *** vibration signals were captured using an accelerometer sensor under a various fault *** acquired vibration signals were processed for extracting meaningful information as *** condition of the brake system can be predicted using a feature based machine learning approach through the extracted *** study focuses on a mechatronics system for data acquisitions and a signal processing technique for extracting features such as statistical,histogram and *** results have been carried out using an experimental study for finding the effectiveness of the suggested signal processing techniques for monitoring the condition of the brake system.