Perceiving Excitation Characteristics from Interactions between Field Road and Vehicle via Vibration Sensing

Table 4

Regression analysis of effective roughness peak point frequency and original roughness excitation point and vibration signal main frequency band peak point frequency.

Depth (cm)	Peak point	Frequency regression analysis of effective roughness and original roughness			Regression analysis of effective roughness and main frequency band of vibration signal
		Regression equation	Standard error	R^2	Regression equation	Standard error	R^2
10	First peak point	y = 1.0009x − 0.0482	0.027790	0.964080	y = 0.9730x + 0.0174	0.012979	0.992165
	Second peak point	y = 1.0619x − 0.1499	0.034771	0.987183	y = 0.9772x + 0.0309	0.007792	0.999356
	Third peak point	y = 1.0736x − 0.2628	0.057738	0.983743	y = 0.9639x + 0.0704	0.025687	0.996959
	Fourth peak point	y = 0.8164x + 0.1873	0.095525	0.976495	y = 1.0134x − 0.0394	0.034624	0.996912
20	First peak point	y = 0.8768x + 0.0110	0.007053	0.996882	y = x	0	1
	Second peak point	y = 0.8730x + 0.0407	0.032586	0.983410	y = 0.9867x + 0.0124	0.003107	0.999849
	Third peak point	y = 0.9124x − 0.0119	0.035318	0.992006	y = 0.9872x + 0.0177	0.004976	0.999841
	Fourth peak point	y = 0.6540x + 0.5266	0.047584	0.991348	y = 0.9846x + 0.0364	0.02293	0.997991
30	First peak point	y = 0.8768x + 0.0110	0.007053	0.996882	y = x	0	1
	Second peak point	y = 0.9117x − 0.0033	0.036182	0.981283	y = x	0	1
	Third peak point	y = 0.9431x − 0.0654	0.035183	0.992572	y = x	0	1
	Fourth peak point	y = 0.7153x + 0.3941	0.035697	0.995736	y = x	0	1