An automatic fuzzy monitoring method of underground rock moisture permeation damage based on MAE fractal

Abstract

Moisture permeation would affect the stability of underground rock. It is of great significance to monitoring the moisture states in advance for the engineering safety. In this research, a fuzzy on-line monitoring method of rock moisture permeation was proposed. First, intermittent AE (Acoustic Emission) was acquired and the AW (A Wave) component was separated using sliding scanning PSD (Power Spectrum Decomposition). Then, four modal AE parameters were extracted and recombined. Fractal correlation dimension indicators were calculated to obtain the complexity of each parameter. Finally, the adaptive weight vector and membership matrix were constructed based on the statistics fluctuation of monitoring data. The moisture permeation state was recognized through the fuzzy calculation. Experiment simulated the moisture permeation of underground rock in engineering applicability. The results demonstrated the advantages in terms of real time performance, reliability as well as perceptiveness.