Research Article
Modelling and Prediction of Particulate Matter, NOx, and Performance of a Diesel Vehicle Engine under Rare Data Using Relevance Vector Machine
Table 2
Experimental dataset for model training and validation.
| | Input parameters | Output parameters | Data | Engine | Engine | T
coolant | BSFC | BTE | NOx | PM mass | sets no. | speed (rpm) | load (Nm) | (°C) | (g/kWh) | (%) | concentration (ppm) | concentration (mg/m3) |
| 1 | 1200 | 140 | 80.7 | 233.16 | 36.23 | 665.25 | 3.363 | 2 | 1200 | 210 | 82.8 | 225.23 | 37.51 | 900.50 | 9.501 | 3 | 1200 | 252 | 83.2 | 232.83 | 36.28 | 957.19 | 38.403 | 4 | 1400 | 28 | 79.3 | 478.57 | 17.65 | 199.84 | 1.233 | 5 | 1400 | 70 | 80.2 | 292.57 | 28.88 | 325.21 | 2.049 | 6 | 1400 | 140 | 80.7 | 236.49 | 35.72 | 610.04 | 3.378 | 7 | 1400 | 210 | 83.2 | 227.94 | 37.06 | 818.10 | 11.484 | 8 | 1400 | 252 | 83.7 | 237.09 | 35.63 | 836.57 | 50.906 | 9 | 1600 | 28 | 80.3 | 506.77 | 16.67 | 175.13 | 2.203 | 10 | 1600 | 70 | 80.4 | 300.99 | 28.07 | 303.89 | 3.045 | 11 | 1600 | 140 | 81.5 | 238.77 | 35.38 | 566.38 | 4.880 | 12 | 1600 | 210 | 82.3 | 229.92 | 36.74 | 795.66 | 22.049 | 13 | 1600 | 252 | 84.3 | 244.17 | 34.60 | 814.56 | 72.437 | 14 | 1800 | 28 | 80.2 | 537.04 | 15.73 | 170.97 | 1.936 | 15 | 1800 | 70 | 80.7 | 311.98 | 27.08 | 283.75 | 2.836 | 16 | 1800 | 140 | 81.4 | 248.01 | 34.07 | 526.49 | 5.323 | 17 | 1800 | 210 | 83.1 | 237.34 | 3.60 | 748.64 | 22.093 | 18 | 1800 | 252 | 85.0 | 258.16 | 32.73 | 730.34 | 115.988 | 19 | 2000 | 28 | 80.7 | 570.84 | 14.80 | 171.73 | 1.550 | 20 | 2000 | 70 | 80.8 | 239.71 | 25.62 | 280.93 | 3.418 | 21 | 2000 | 140 | 82.8 | 257.99 | 32.75 | 507.44 | 4.192 | 22 | 2000 | 210 | 83.9 | 247.54 | 34.13 | 683.83 | 26.865 |
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