Vibration analysis metrics of a ball bearing during different operational states

This labeled dataset is provided in the form of a CSV file and contains vibration analysis metrics (v-RMS, a-RMS, a-Peak, Temperature, Crest Factor) of a 6204 2RS ball bearing by the use of an IFM VVB001 vibration sensor and measurements were captured every two minutes by the sensor device.<br> An experimental assembly was set up comprised by a 0.75kW - 1450rpm Bonfiglioli BN80B4 FD motor with an i=80 reduction gear, a coupler and an axle with the ball bearing mounted on the latter for the purpose of conducting experiments based on three operational states of the bearing in regard to the level of grease applied. Attribute description as per the sensor’s manual and operation instructions: The <strong>v-RMS</strong> (effective value of the vibration velocity) measures the total load of a rotating machine. The most frequent types of overload (unbalance, alignment errors, etc.) are reflected in the v-RMS. An increased load can damage the machine in the long term (fatigue, fatigue strength) or, in extreme cases, destroy it within a short time. It is expressed in m/s. The <strong>a-RMS </strong>(effective value of the acceleration) detects mechanical contact of machine components. This contact typically occurs in case of wear (faulty bearing, worn out toothed wheels, etc.) or problems with lubricants (contaminated grease, water in oil, etc.). It is expressed in m/s². The <strong>a-Peak</strong> monitors the maximum value of the acceleration. Shocks in the acceleration can occur once or periodically, as in a crash, for example in the event of bearing damage. a-Peak is a measure for the forces occurring on the machine. It is expressed in m/s². The <strong>Crest </strong>(or crest factor) is a described characteristic value of the signal analysis. It is defined as the ratio of the maximum value to the effective value (peak/RMS). In condition monitoring the characteristic value is used for the evaluation of the bearing condition. The high-frequency signals with a short pulse duration of a bearing damage generate higher peak values in relation to the effective value. This relation can be read from the crest factor. The <strong>Temperature </strong>attribute is self explanatory and is expressed in degrees of Celsius. Labels of the <strong>Bearing State</strong> regarding the recorded measurements:<br> 1 - sealed ball bearing with recommended amount of industrial grease<br> 2 - unsealed ball bearing with no amount of grease<br> 3 - unsealed ball bearing with excess amount of grease This dataset was produced for the purpose of training an Artificial Neural Network model for the task of multi-class classification in the frames of a Predictive Maintenance strategy.本带标注数据集以CSV文件形式存储，包含采用IFM VVB001振动传感器采集的6204 2RS型球轴承的振动分析指标（v-RMS、a-RMS、a-Peak、温度、波峰因数），传感器每两分钟采集一次测量数据。<br>本次实验搭建了一套试验台，由0.75kW、1450rpm的Bonfiglioli BN80B4 FD型电机、减速比i=80的减速箱、联轴器以及安装有被测球轴承的轴组成，旨在针对轴承的三类润滑脂加注工况开展实验。<br>依据传感器手册与操作指南，各属性说明如下：<br><strong>v-RMS（振动速度有效值）</strong>用于表征旋转机械的总负载。最常见的过载类型（如不平衡、对中误差等）均可通过v-RMS体现。长期过载会逐步损伤机械（引发疲劳、降低疲劳强度），极端情况下甚至会在短时间内损毁设备，该指标单位为米每秒（m/s）。<br><strong>a-RMS（加速度有效值）</strong>用于检测机械部件间的机械接触异常。此类接触通常源于部件磨损（如轴承故障、齿轮磨损等）或润滑液异常（如润滑脂污染、油液进水等），该指标单位为米每二次方秒（m/s²）。<br><strong>a-Peak（加速度峰值）</strong>用于监测加速度的最大值。加速度冲击可能单次或周期性出现，例如轴承损坏时发生的碰撞类冲击。a-Peak可用于表征机械所受的作用力，单位为米每二次方秒（m/s²）。<br><strong>波峰因数（Crest Factor）</strong>是信号分析中的经典特征指标，定义为最大值与有效值的比值（峰值/RMS）。在设备状态监测中，该指标可用于评估轴承运行状态。轴承损坏时产生的短脉冲高频信号，其峰值相较于有效值会显著升高，这一特征可通过波峰因数直观体现。<br><strong>温度（Temperature）</strong>属性含义直观，单位为摄氏度（℃）。<br>本次测量数据对应的<strong>轴承状态（Bearing State）</strong>标签如下：<br>1 - 加注推荐用量工业润滑脂的密封式球轴承<br>2 - 未加注润滑脂的非密封式球轴承<br>3 - 加注过量润滑脂的非密封式球轴承<br>本数据集专为预测性维护（Predictive Maintenance）策略下的多分类任务训练人工神经网络（Artificial Neural Network）模型而构建。