轴承性能时间序列的概率信息求取及退化分析

该数据源自对轴承振动、温度、摩擦力矩 3 种性能时间序列进行概率信息求取及退化分析过程中产生的相关数据，主要包括振动序列、温度序列、摩擦力矩序列、灰自助数据、概率密度函数、预报上下限、退化系数。振动序列在ABLT-1A型轴承寿命强化试验机上试验得到；温度序列在ABLT-3型轴承寿命强化试验机上试验得到；摩擦力矩序列在轴承组件试验机上试验得到；其他数据由数学模型计算得到。

This dataset is derived from relevant data generated during the extraction of probabilistic information and degradation analysis of three types of performance time series: bearing vibration, temperature, and frictional torque. It mainly includes vibration series, temperature series, frictional torque series, grey bootstrap data, probability density functions, prediction upper and lower bounds, and degradation coefficients. The vibration series was obtained through tests on an ABLT-1A type bearing life accelerated testing machine; the temperature series was obtained through tests on an ABLT-3 type bearing life accelerated testing machine; the frictional torque series was obtained through tests on a bearing assembly testing machine; and the remaining data were calculated using mathematical models.

搜集汇总

背景与挑战

背景概述

该数据集聚焦轴承性能退化分析，包含振动、温度和摩擦力矩三种时间序列数据，以及通过数学模型计算得到的概率密度函数和退化系数等衍生数据，用于支持轴承状态评估和寿命预测研究；数据来源于特定型号的轴承试验机实验，属于精密仪器制造领域，适用于机械工程和故障诊断应用场景。