ALGORITHMS FOR IN-LINE PRESSURE TRANSMITTERS CONDITION MONITORING

Abstract

In the context of the transition of the world industry to new production technologies, the task of monitoring the technical condition of automatic control systems components, including pressure sensors, is urgent. Despite the existence of research and development aimed at creating systems for diagnostics and self-diagnosis of pressure sensors, the degradation mechanisms of mechanical parts of sensors and diagnostics algorithms during operation remain insufficiently studied.

Aim. Propose algorithms for condition monitoring of the mechanical and hydraulic system of in-line pressure transducers.

Materials and methods. This study is based on tests conducted on pressure modules with defects that simulate the lack of liquid in the separation cavity of the mechanical and hydraulic system of the transducer, manufactured by the industrial partner. The method of fault diagnosis is based on the analysis of statistical characteristics of the ADC signal of the pressure modules.

Results. During the tests, hypotheses were confirmed about the dependence of the standard deviation of the output signal of the pressure module on the volume of liquid-oil in the channel. Based on the obtained data, algorithms for diagnosing the technical condition of the pressure sensor were proposed, which use the values of the sensor signal STD as a diagnostic parameter. The algorithms provide verification of the applicability conditions of the considered method and use additional information about the technological process. The problems that need to be solved for the practical implementation of algorithms in real production are formulated.

Conclusion. The proposed algorithms for condition monitoring of the pressure sensor differ from the known diagnostic algorithms in that they use the results of experimental studies and are aimed at detecting a malfunction of the mechanical part of the sensors. Algorithms can be used to monitor the technical condition of in-line pressure sensors during operation under certain conditions that need to be clarified in the course of further research and field tests.