Dataset and MATLAB Scripts for Recurrence-Based Diagnostics of Electric Parking Brake (EPB) Modules

This dataset contains vibration-based diagnostic data and MATLAB scripts used in the study: "Non-Destructive Diagnostics of Electric Parking Brake Modules Using Recurrence Analysis of Piezoelectric Sensor Data". The dataset includes: - Data corresponding to five predefined failure modes of the EPB system: (1) missing gear (lower row), (2) missing gear (upper row), (3) tooth damage, (4) timing belt damage, (5) incorrect gear installation. - Extracted Recurrence Quantification Analysis (RQA) features (DET, LAM, Lmax, L, TT, Vmax) for multiple sensor locations. - MATLAB scripts used for computation of RQA statistics and generation of plots presented in the manuscript. The RQA feature files correspond directly to the defined failure modes and allow reproduction of the statistical results reported in the study.本数据集包含用于下述研究的基于振动的诊断数据与MATLAB脚本：《基于压电传感器数据递归分析的电子驻车制动模块无损诊断》。 本数据集涵盖如下内容： - 对应电子驻车制动（Electric Parking Brake, EPB）系统五种预设故障模式的数据：(1) 齿轮下排缺失、(2) 齿轮上排缺失、(3) 齿面损伤、(4) 正时带损伤、(5) 齿轮安装不正。 - 多传感器位置处提取的递归定量分析（Recurrence Quantification Analysis, RQA）特征，涵盖DET、LAM、Lmax、L、TT、Vmax。 - 用于计算RQA统计量并生成研究论文中呈现的图表的MATLAB脚本。 该RQA特征文件与预设故障模式一一对应，可复现该研究中报道的统计分析结果。