Acoustic Emission Signal Recognition of Different Rocks Using Wavelet Transform and Artificial Neural Network

Table 3

Input parameters and their signal types.

Rise time/	Ring count/	Energy/	Duration time/	Amplitude/	Peak frequency/	CA6 layer of wavelet decomposition/	CD6 layer of wavelet decomposition/	CD5 layer of wavelet decomposition/	CD4 layer of wavelet decomposition/	CD3 layer of wavelet decomposition/
−0.9944	−0.9946	−0.9996	−0.9955	−0.2645	0.1404	0.4449	−0.2088	−0.4542	−0.6116	0.0746
−0.9917	−0.8019	−0.9658	−0.8734	0.4908	−0.7638	−0.5627	−0.3218	0.7551	−1.0000	0.0746
−0.9981	−0.9986	−0.9998	−0.9986	−0.3013	−0.7796	−0.6560	−0.7819	−0.8793	0.6216	0.0746
−0.9907	−0.9813	−0.9981	−0.9847	−0.0919	−0.0960	0.2005	−0.1534	−0.0943	−0.8261	0.2388
−0.9986	−0.9989	−0.9997	−0.9826	−0.3833	−0.1998	−0.0113	−0.2583	−0.5884	−0.2963	0.2388
−0.9954	−0.9774	−0.9968	−0.9811	0.0835	−0.8997	−0.9157	−0.8796	−0.8954	0.8161	0.0000
−0.9995	−0.9739	−0.9961	−0.9304	0.0580	−0.7373	−0.6852	−0.7980	−0.8384	0.6148	0.0746
−0.9801	−0.9766	−0.9971	−0.9245	−0.1372	−0.4244	−0.2463	−0.5013	−0.3729	−0.1488	0.0746
−0.9958	−0.9671	−0.9957	−0.9710	0.0580	−0.2490	−0.0722	−0.2650	−0.5771	−0.2764	−0.0896
−0.9991	−0.9644	−0.9954	−0.8638	−0.1796	−0.4675	−0.3698	−0.5240	−0.7964	0.2235	0.6866
⋯ ⋯ ⋯ ⋯
−0.7740	−0.7066	−0.5099	0.2520	0.9661	−1.0000	−0.9925	−0.9809	−0.2206	0.4489	−0.6567
−0.9092	−0.8845	−0.8938	−0.4225	0.8218	−0.9947	−0.9993	−1.0000	−0.9561	1.0000	−0.8358
−0.8796	−0.8671	−0.7102	−0.1123	0.9123	−0.9911	−0.9945	−0.9418	−0.4143	0.5553	−0.8358
−0.9801	−0.9842	−0.9674	−0.9293	0.7624	−0.9947	−0.9882	−0.8576	0.6103	−0.2624	−0.7015
−0.7032	−0.6484	−0.4425	0.2268	0.9349	−0.9987	−1.0000	−0.9919	−0.9503	0.9891	−0.8507