Abstract:For the difficulty on the determination of open position and the measurement of end face thickness for mechanical seal, the method based on acoustic emission signal end face open condition monitoring technology for mechanical seal was proposed. The direct measurement in the internal of mechanical seal device was performed by fixing the electric eddy current sensor in the stator ring,and the indirect measurement in the outside was performed by fixing the acoustic emission sensor in the stator ring seat. The acoustic emission signals were de noised by wavelet threshold de noising method, and the representative energy features were selected by wavelet packet energy spectrum algorithm. The RBF neural network model was established, and by inputting the extracted wavelet energy features, the mechanical seal opening position was identified. The results were compared with the data detected by electric eddy current sensor, and the acoustic emission identification technology was confirmed to be accurate and effective. The acoustic emission technology can realize the identification of the mechanical seal opening position of main shaft from inside to outside, it is convenient to be used and promoted in industrial field.