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/m^3)
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