Journal bearings are used in industrial equipment at high rotational speed. Normal and also fault operations of bearing increase the temperature of the bearing. Estimation of heat flux on the inner surface of the bearing and prediction of temperature of the bearing can prevent the damage to the bearing. In this research, these quantities are estimated in normal operation by an inverse method. The sequential function specification method is applied and the best number of temperature sensors and their positions are obtained. The temperature sensors are embedded in the bearing. The results show that the accuracy of heat flux estimation has a district relation with the number and the position of the sensors and also with the measurement frequency.

轴颈轴承以高转速用于工业设备。轴承的正常运行和故障运行都会导致轴承温度升高。估计轴承内表面上的热通量和预测轴承温度可以防止损坏轴承。在这项研究中，这些量是通过反演方法在正常运行中估算的。应用顺序功能指定方法，并获得最佳数量的温度传感器及其位置。温度传感器嵌入轴承中。结果表明，热通量估计的精度与传感器的数量和位置以及测量频率有区域关系。