A Method Combining Order Tracking and Fuzzy C-Means for Diesel Engine Fault Detection and Isolation

Table 1

Diagnosis results of sample under test.

Number	Features of the sample data						Approach degree				Classification results
							Normal	Slight	Moderate	Severe
1	4.0400	0.4239	0.7414	2.1345	0.6874	0.4030	0.81	0.55	0.62	0.56	Yes
2	4.3626	0.3592	0.8570	2.2606	0.7641	0.4970	0.90	0.60	0.66	0.59	Yes
3	4.5474	0.6386	1.1611	2.4145	0.3372	0.4678	0.62	0.90	0.55	0.51	Yes
4	4.5546	0.6696	1.0654	2.5060	0.3047	0.4386	0.63	0.93	0.55	0.52	Yes
5	5.9667	0.6100	0.8035	4.4526	0.3446	0.1232	0.69	0.66	0.89	0.43	Yes
6	6.7985	0.7553	0.7659	5.0582	0.4599	0.1558	0.55	0.62	0.83	0.33	Yes
7	2.9669	0.4705	0.4396	1.7863	0.3588	0.1473	0.67	0.65	0.42	0.89	Yes
8	3.1679	0.5943	0.5363	1.6174	0.4891	0.2050	0.61	0.49	0.36	0.87	Yes