Nonintrusive pressure measurement with capacitance method based on FLANN

Nonintrusive pressure measurement has the crucial role to failure diagnosis and detection of hydraulic system where the conventional measurement instruments fail to make the necessary pressure readings within the sealed pipelines. The relationship between hydraulic oil's dielectric constant, temperature, and pressure was studied, and the feasibility of pressure measurement with capacitance method was demonstrated. In order to make the capacitance method be suit for the hydraulic system where pipeline's enhancement layer was made of tinsel, a capacitive transducer device (CTD) was designed. The functional link artificial neural network (FLANN) has been applied for analyzing the input-output characteristics of the CTD. Also, the FLANN-based modeling of the CTD was built. To verify the validity of the proposed method, an experimental platform was developed. The results indicate that the capacitance method is feasible for nonintrusive pressure measurement.