Mathematical Problems in Engineering / 2019 / Article / Tab 4

Research Article

Internal Combustion Engine Fault Identification Based on FBG Vibration Sensor and Support Vector Machines Algorithm

Table 4

Feature vector based on Wavelet decomposition and reconstruction.

Operating stateNo.vibration energy feature vector

129171.56125.61419.31190.47916.02
Fault type I228467.95314.92536.79310.96615.85
329162.03657.911198.32743.291532.70

134728.80157.96446.43203.43305.95
Fault type II237501.9442.93787.90364.83757.68
341248.90604.381035.80783.931459.29

151984.622601.752774.43440.82774.74
Fault type III266161.883606.904286.532143.043459.64
355689.3710129.434527.103965.937854.19

Fault type IV186067.38133.12327.000195.39288.40
(Normal)284843.81267.18464.92343.86844.38
384297.88542.581182.75710.602152.55

170662.03155.80281.01201.87520.20
Fault type V270043.63302.41671.87496.921467.39
370177.78611.641671.62703.101696.39

166528.25338.03491.06398.171325.69
Fault type VI266243.20673.171596.44839.551802.04
367345.94956.431467.581159.192497.36

Fault type VII1187.27824.61876.71328.324278.87
2176.31387.19104.38477.134155.92
3208.67741.50100.80341.363565.39

Fault type VIII1115.19304.61353.27367.064727.75
2173.00608.37891.72459.133843.63
3136.02962.09780.94932.794177.78

Fault type IX1275.42163.24194.65550.575338.03
2200.03109.90118.59400.764896.44
3231.09130.74178.99557.566101.87

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