Failure Probability Modeling of Miniature DC Motors and Its Application in Fault Diagnosis

Table 2

Results of the hypothetical distribution.

Type of fault	Indicators	Hypothetical distribution
		Normal		Exponential		Weibull		Lognormal
		μ, σ		λ		η, β		,
HM	Pdc	893.82, 59.98	0.0667	893.82	0.0009	922.32, 15.07	0.0607	6.79, 0.067	0.0673
	Pf	222.16, 35.44	0.0562	222.16	0.0010	237.08, 7.27	0.0580	5.39, 0.166	0.0531
	A	809.02, 200.36	0.0484	809.02	0.0011	887.39, 4.38	0.0472	6.67, 0.250	0.0487
ISFM	Pdc	2103.8, 84.30	0.0674	2103.8	0.0026	2144.8, 24.6	0.0609	7.65, 0.040	0.0679
	Pf	1050.22, 54.76	0.0669	1050.22	0.0005	1075.34, 21.94	0.0650	6.96, 0.053	0.065
	A	5632.8, 148.47	0.0709	5632.8	0.0011	688.19, 11.09	0.0643	8.64, 0.026	0.0622
OWFM	Pdc	661.78, 56.39	0.0631	659.58	0.0003	679.73, 16.19	0.0546	6.49, 0.084	0.065
	Pf	185.92, 23.38	0.0613	185.92	0.0003	196.12, 8.98	0.0589	5.22, 0.129	0.0599
	A	861.74, 53.19	0.0659	861.74	0.0017	887.19, 15.60	0.0580	6.76, 0.061	0.0647
WDFM	Pdc	915.66, 58.57	0.0657	915.66	0.0021	943.87, 14.56	0.0562	6.82, 0.063	0.0654
	Pf	1355.33, 70.9	0.0686	1355.33	0.0019	1389.57, 18.92	0.0618	7.21, 0.052	0.0696
	A	9780.93, 228.4	0.0701	9780.93	0.0022	9895.76, 39.81	0.0609	9.19, 0.023	0.0648
AMFM	Pdc	1072.4, 97.79	0.0627	1072.4	0.0005	1117, 11.8	0.0607	6.97, 0.092	0.0621
	Pf	380.54, 31.72	0.0629	380.54	0.0004	394.56, 14.60	0.0638	5.94, 0.085	0.0622
	A	2662.9, 139.8	0.0667	2662.9	0.0025	2730.83, 18.72	0.0604	7.89, 0.052	0.063