Research on safety detection method of mining coal mining machinery transmission mechanism based on optical sensor

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Principal component analysis - neural network diagnosis results

Label		Diagnostic tag						Single recognition rate %	Total recognition rate %
		N	S	A	OF	IF	PC
Actual label	N	857	1	5	19	1	7	95.22	97.05
	S	3	884	3	2	4	4	98.22
	A	4	6	876	1	3	10	97.33
	OF	10	2	4	859	13	12	95.44
	IF	4	2	2	3	886	3	98.44
	PC	7	5	3	3	3	879	97.66

Static characteristics of each input channel

Name	Temperature channel	Vibration channel	Current channel	Voltage channel
Precision (%)	1.153	0.724	1.228	0.502
Nonlinearity (%)	0.613	0.246	0.529	0.145
Return error (%)	0.527	0.519	0.638	0.349
Sensitivity	10.88°C/m A	1.163g/mA	7.411A/mA	29.98V/mA

Fault sample information in high-speed area

Name	Dimensionality	Fault type	Fault label	Number of training set samples	Sample number of test set
Sample set B	100	Normal	N	900	300
		Broken tooth	S	900	300
		Gear wear	A	900	300
		Bearing outer ring failure	OF	900	300
		Bearing inner ring failure	IF	900	300
		Cage fault	PC	900	300

Feature vector of training sample after normalization of dataset B (part)

Fault type	Eigenvector
N	0.21297	0.09486	0.15887	0.05221	0.12594	0.19261	0.08235	0.08019
	0.19350	0.05898	0.00920	0.20118	0.13347	0.04698	0.20777	0.14892
	0.13955	0.08009	0.03191	0.03989	0.03725	0.28475	0.34406	0.04251
	0.01305	0.10234	0.11987	0.19075	0.22947	0.07749	0.04374	0.22329
	……	……	……	……	……	……	……	……
S	0.10640	0.19461	0.03478	0.09344	0.15602	0.11345	0.15131	0.15017
	0.08421	0.11199	0.01849	0.12870	0.24908	0.23716	0.03560	0.13476
	0.06391	0.15841	0.11829	0.13883	0.14232	0.14104	0.10088	0.13631
	0.02974	0.00868	0.22907	0.18728	0.08128	0.03611	0.15264	0.27520
	……	……	……	……	……	……	……	……
A	0.18162	0.00291	0.11185	0.14562	0.06085	0.14046	0.17560	0.18108
	0.00371	0.00313	0.15036	0.08802	0.30294	0.14026	0.18726	0.12434
	0.17718	0.09656	0.04656	0.12148	0.06901	0.18654	0.15177	0.15091
	0.05261	0.09379	0.07688	0.06932	0.09981	0.15608	0.40113	0.05037
	……	……	……	……	……	……	……	……
OF	0.14586	0.00953	0.18761	0.09874	0.17834	0.02008	0.19397	0.16587
	0.00831	0.20659	0.00456	0.12871	0.10217	0.17141	0.20007	0.17819
	0.02537	0.18603	0.17760	0.13276	0.00998	0.17779	0.19473	0.09574
	0.10479	0.26374	0.04873	0.19917	0.18575	0.03318	0.09768	0.06696
	……	……	……	……	……	……	……	……
IF	0.15064	0.11488	0.10280	0.00115	0.29822	0.28111	0.02561	0.02558
	0.17500	0.13032	0.05111	0.06726	0.17448	0.09867	0.14768	0.15549
	0.00614	0.19556	0.21277	0.18643	0.02283	0.15349	0.21853	0.00425
	0.15921	0.17282	0.01871	0.13709	0.12010	0.10896	0.25875	0.02435
	……	……	……	……	……	……	……	……
PC	0.07364	0.07512	0.17163	0.01588	0.20185	0.04662	0.18855	0.22673
	0.12080	0.17375	0.08984	0.07633	0.02941	0.23047	0.16039	0.11902
	0.09992	0.06173	0.14177	0.17507	0.17365	0.14793	0.15515	0.04477
	0.19252	0.12325	0.13163	0.08673	0.06063	0.12587	0.15646	0.12292
	……	……	……	……	……	……	……	……

Temperature input channel experimental data

N	Standard current(mA)	Theoretical temperature (°C)	Measured temperature (°C)
1	4.6	16.3	15.6
2	5.1	25.7	25.5
3	5.9	63.8	64
4	6	68.3	67.9
5	6.5	74.4	74.7
6	10.1	74.9	75.7
7	10.5	91.8	90.8
8	12	97.4	96.2
9	13.1	98.3	97.6
10	13.3	113.6	114.8
11	14.5	124.2	123
12	14.9	130.9	132.9
13	16.1	135.1	133.6
14	17	141.1	140
15	18.1	141.3	140.3
16	19.6	149	148.7
17	19.8	181.3	181.2

Traditional support vector machine diagnosis results

Label		Diagnostic tag						Single recognition rate %	Total recognition rate %
		N	S	A	OF	IF	PC
Actual label	N	825	11	23	14	13	14	91.67	88.63
	S	16	792	28	21	30	13	88.00
	A	15	13	801	33	22	16	89.00
	OF	13	34	12	798	22	21	88.67
	IF	29	17	18	15	783	38	87.00
	PC	51	26	17	14	5	787	87.44

Diagnosis results of supervised BPDBN network model

Label		Diagnostic tag						Single recognition rate %	Total recognition rate %
		N	S	A	OF	IF	PC
Actual label	N	837	7	13	16	14	13	93.00	91.98
	S	19	816	15	16	22	12	90.66
	A	36	14	829	5	10	6	92.11
	OF	18	22	11	818	20	11	90.89
	IF	17	13	9	17	829	15	92.11
	PC	16	5	12	8	21	838	93.11

Fault sample information in the low-speed zone

Name	Dimensionality	Fault type	Fault label	Number of training set samples	Sample number of test set
Sample set C	100	Normal	N	900	300
		Broken tooth	S	900	300
		Gear wear	A	900	300
		Bearing outer ring failure	OF	900	300
		Bearing inner ring failure	IF	900	300
		Cage fault	PC	900	300

Current input channel experimental data

N	Standard current(mA)	Theoretical current(A)	Measured current(A)
1	4.6	3.8	4
2	5.1	3.9	4.2
3	5.9	11.7	12.4
4	6	23.1	23.3
5	6.5	29.8	30
6	10.1	35.4	35.4
7	10.5	46.8	46.6
8	12	52.5	52.5
9	13.1	69.7	69.4
10	13.3	93.7	94
11	14.5	104.2	104.7
12	14.9	125.3	126
13	16.1	140.4	140.6
14	17	142.6	143.1
15	18.1	146.6	146.8
16	19.6	168.9	169.2
17	19.8	173.4	173.8

Vibration input channel experimental data

N	Standard current(mA)	Theoretical value(g)	Measured value(g)
1	4.6	2.6	2.9
2	5.1	3.7	3.6
3	5.9	4.2	4.8
4	6	5.6	6.1
5	6.5	6.5	5.8
6	10.1	9.6	10.5
7	10.5	9.9	9.3
8	12	10.6	10.4
9	13.1	11.2	11.4
10	13.3	11.3	11.6
11	14.5	12.2	12.4
12	14.9	13.7	13.4
13	16.1	14.6	14
14	17	14.7	14.3
15	18.1	14.9	15
16	19.6	15.2	15.4
17	19.8	17.8	17.7

Voltage input channel experimental data

N	Standard current(mA)	Theoretical voltage(V)	Measured voltage (V)
1	4.6	12.1	15.3
2	5.1	30.7	31.1
3	5.9	57.3	55.6
4	6	71.8	70.3
5	6.5	80.6	81.5
6	10.1	126.2	127.5
7	10.5	130	129.3
8	12	243.7	241.9
9	13.1	267.5	267.7
10	13.3	280.3	278.2
11	14.5	289.3	287.9
12	14.9	298.9	300.5
13	16.1	319.6	319.8
14	17	361.8	364.4
15	18.1	452	450.2
16	19.6	483.5	482.1
17	19.8	490.1	487.4