智能动力单元早期故障测试数据集

本数据为智能动力单元早期故障测试数据集，测试地点为浙江大学机械工程学院，感知采集设备采用自研多通道感知采集设备，测试了智能动力单元在健康状态、关键摩擦副轻度磨损、关键摩擦副中度磨损、关键摩擦副重度磨损工况下的缸体振动数据，该数据集对应考核指标表的“6：动力单元智能诊断和寿命预测系统”之“6.1 状态检测与诊断模块”与“6.2 故障诊断准确率”，且为后续故障诊断方法研究提供了依据和指导。数据量4.49Mb。

This is an early fault test dataset for intelligent power units. The test was conducted at the School of Mechanical Engineering, Zhejiang University, and utilized a self-developed multi-channel sensing and data acquisition device. This dataset collected cylinder block vibration data of intelligent power units under four operating conditions: healthy state, slight, moderate, and severe wear of key friction pairs. It corresponds to the "6.1 Condition Monitoring and Diagnosis Module" and "6.2 Fault Diagnosis Accuracy" under the entry "6: Intelligent Diagnosis and Life Prediction System for Power Units" in the assessment index table, and provides a basis and guidance for subsequent research on fault diagnosis methods. The total size of the dataset is 4.49 Mb.

搜集汇总

背景与挑战

背景概述

该数据集包含智能动力单元在健康状态及不同磨损工况下的缸体振动测试数据，旨在支持动力单元智能诊断和寿命预测系统的状态检测与故障诊断方法研究。数据量约为4.49MB，为后续故障诊断提供了依据和指导。