螺栓失效机理模型数据

对轨道交通动载螺栓的失效机理分析，通过超声无损检测判断轨道交通列车螺栓失效特点，为轨道交通列车的检修工作做指导，进一步保障旅客的人身财产安全。1、数据收集与清洗：对高铁关键部位的螺栓定时的发射收集超声信号测得螺栓失效机理模型，利用对数据集进行清洗，去除调试设备时产生的异常数据并处理缺失值。2、数据分析: 将检测得到的数据进行归集，监测在螺栓使用过程中螺栓预紧力变化量与螺栓温度，分析螺栓状态失效机理。当螺栓预紧力变化量大于0.5，且螺栓温度无突变时认为螺栓达到工作极限即螺栓失效，反之则认为处于正常工作状态3、数据应用：对轨道交通螺栓失效其机理分析，通过超声无损检测其预紧力、温度判断列车失效机理，保障列车正常运行旅客的人身财产安全。

This work focuses on failure mechanism analysis of dynamically loaded bolts for rail transit. Ultrasonic non-destructive testing is adopted to identify the failure characteristics of rail transit train bolts, which provides guidance for the maintenance of rail transit trains and further safeguards the personal and property safety of passengers.
1. Data Collection and Cleaning: For bolts at key positions of high-speed trains, ultrasonic signals are regularly transmitted and collected to establish the bolt failure mechanism model. Subsequently, the dataset is cleaned by removing abnormal data generated during equipment debugging and handling missing values.
2. Data Analysis: The detected data are aggregated and organized. The change in bolt preload and bolt temperature during the service of the bolts are monitored, and the failure mechanism of bolt states is analyzed. A bolt is considered to have reached its working limit (i.e., failed) when the change in preload exceeds 0.5 and no sudden temperature change occurs; otherwise, the bolt is judged to be in normal working condition.
3. Data Application: Based on the failure mechanism analysis of rail transit bolts, ultrasonic non-destructive testing is used to detect preload and temperature to determine the failure mechanism of trains, ensuring the normal operation of trains and the personal and property safety of passengers.

搜集汇总

数据集介绍

特点

螺栓失效机理模型数据是一个包含13325条记录的数据集，用于分析轨道交通动载螺栓的失效机理。数据集通过监测螺栓预紧力变化量和温度来判断螺栓状态，为轨道交通列车的检修工作提供指导。