Rotating Machinery Remaining Useful Life Prediction Scheme Using Deep-Learning-Based Health Indicator and a New RVM

Table 5

The RUL prediction results of different methods.

	Current time (s)	Actual RUL (s)	Predicted RUL (s)	Er (%)
				Sutrisno	Hong	Lei	Guo	Yoo	Wang	Proposed method
1_3	18010	5730	5600	37	−1.04	−0.35	43.28	1.05	−1.05	2.27
1_4	11380	339	320	80	−20.94	5.6	67.55	20.35	−17.99	5.60
1_5	23010	1610	1410	9	−278.26	100	−22.98	11.18	21.74	12.42
1_6	23010	1460	1300	−5	19.18	28.08	21.23	34.93	6.16	10.96
1_7	15010	7570	9270	−2	−7.13	−19.55	17.83	29.19	7.79	-22.46
2_3	12010	7530	7460	64	10.49	−20.19	37.84	57.24	43.03	0.99
2_4	6110	1390	1310	10	51.8	8.63	−19.42	−1.44	1.44	5.76
2_5	20010	3090	2290	−440	28.8	23.3	54.37	-0.65	18.77	25.89
2_6	5710	1290	1430	49	−20.93	58.91	−13.95	-42.64	2.33	-10.85
2_7	1710	580	570	−317	44.83	5.17	−55.17	8.62	-3.45	1.72
3_3	3510	820	850	90	−3.66	40.24	3.66	−1.22	13.41	-3.66
Mean				100.27	44.28	28.18	32.48	18.96	12.47	9.32
SD				173.28	90.29	35.41	37.57	25.59	15.90	12.57
Score				0.31	0.36	0.43	0.26	0.57	0.62	0.64