Research Article

Vibration Signal Analysis of Roadheader Based on Referential Manifold Learning

Table 3

Time-frequency analysis results of vibration data of sensor 1.

ParametersHealth dataFault data

pk7.067.1307.226.1813.956.4598.8357.22832.2729.5127.5930.7724.2036.6127.0432.67
st1.381.4411.321.242.0041.2651.5091.3234.504.773.754.574.273.573.473.91
me1.141.1911.101.051.5581.0631.2271.1033.203.402.713.223.092.512.502.80
va6.145.9876.555.888.9576.0777.1996.55510.088.6810.179.547.8214.5810.8311.67
Kr6.056.7885.464.3119.204.6278.3595.465101.3109.371.20110.282.0681.3066.6082.48
L6.936.7677.396.6110.376.8468.1937.39212.5510.8512.4411.979.6517.9613.2114.37
C5.114.9495.464.966.9635.1045.8545.4627.188.187.366.735.6710.267.808.35
S1.201.211.201.1851.2861.1901.2301.2001.401.401.381.421.381.421.391.40
E18.387.668.8210.39.88211.266.7098.82010.0010.2410.795.8910.1710.1111.886.66
E26.516.576.295.838.9545.0447.3086.29312.5412.6311.9614.0414.8915.9010.2614.97
E32.121.771.832.523.0023.2541.6581.8376.217.366.156.328.095.215.044.87
E48.248.927.747.559.8336.4519.8347.74012.0711.9810.0511.9711.5010.909.6311.56
E512.613.2612.29.2511.409.18314.4312.2117.7916.7115.9417.5514.2414.5512.1619.54
E637.3733.7239.9146.2131.3046.5229.0639.9112.4511.8920.419.3918.0818.1119.1210.54
E723.0126.6221.5615.8722.8915.9729.7321.5622.8323.2420.8029.9115.9524.2927.0928.08
E81.7321.4391.6142.3592.7252.3031.2641.6146.115.943.904.937.070.924.823.78