Online monitoring method for operation status of the thermal power generating units based on fusion of limit learning machine and SCADA data

To quickly learn the complex operational patterns of thermal power generating units, this paper proposes an online monitoring method based on extreme learning machine (ELM) and SCADA data. First, health data from normal operations of the thermal power generating set are collected, and outliers unrelated to the unit’s operating conditions are removed from the SCADA data, along with local abnormal points. Using this processed data, an extreme learning machine model is trained and constructed. The