Self-similarity analysis of Coal or Rock Electromagnetic Emission signal

Coal or rock electromagnetic emission is a new perspective of predicting rock burst, but most present researches have been investigated into physical properties. This paper analyzes coal or rock electromagnetic emission (coal or rock EME) with self-similarity by rescaled range method from fractal characteristic and validates the feasibility and applicability of prediction model based on chaos theory. According to EME signal from two sides of railway lane and transportation lane from Dongtan coal mine respectively, we compute hurst exponent and fractal dimension D, and verify hurst exponent by the standard of S. Our experiments in this domain show that the signal has significant statistical self-similarity. Consequently, we conclude that Coal or rock EME has a favorable fractal feature. Moreover, we can utilize non-linear method to make prediction further.