Synthesis of an Algorithm for Diagnosing the Operation of Drying Chamber Electric Drives According to Temperature Sensors
Purpose of research is the development of a method for assessing the condition of drying chamber electric drives based on historical data from temperature sensors. The method includes the use of historical data, analysis and determination of the correlation between changes in temperature and humidity and the technical condition of fans and air valves. The developed mathematical model of the functional diagnostic unit should work in real time based on the current temperature readings. Methods. The method is based on the study of experimental data using narrow-band filters, averaging blocks and correlation functions to compare the spectral components of the control signal and the response in the form of temperature to the fact of coincidence. Results. Based on the results of the study, a technical solution for the PLC was implemented, which makes it possible to determine the malfunction of the electric drives of the drying chamber without using additional air flow sensors and the position of the dampers. The solution is based only on temperature sensor data. Testing of the operation of the diagnostic unit is performed in manual mode, when the executive elements are not controlled by the controller. Conclusion. The method can be useful for developers of control systems for lumber drying chambers, since it allows obtaining additional diagnostic information about the technological process, increasing the reliability of the control system as a whole.