加工中心组件故障传播影响力评估

doi:10.13229/j.cnki.jdxbgxb20200730

Abstract

Abstract:

In order to evaluate the influence of fault propagation of machining center components， identify the key components of the system quickly and accurately， and control the fault propagation effectively， the fault propagation path between components is characterized by the combination of fault propagation mechanism analysis and directed graph. DWNodeRank algorithm is used to evaluate the fault influence degree among components， and the fault propagation rate of components was calculated based on the failure rate index. Considering the effective reachable path， the influence force value of fault propagation is calculated based on the improved ASP algorithm， and the fault propagation influence is evaluated. An example analysis results show that the DWNodeRank algorithm can reduce iteration complexity effectively and evaluate node influence degree accurately considering the direction and intensity of fault propagation. The fault propagation rate is used as the basis for evaluating the influence of fault propagation， and its dynamic time-varying characteristics make the evaluation results real-time and accurate， which is of great significance to the health maintenance of machining center.

Key words: machining center, fault propagation directed graph, fault propagation rate, fault propagation influence

CLC Number:

TG659

Gui-xiang SHEN,Lan LUAN,Ying-zhi ZHANG,Li-ming MU,Shu-bin LIANG. Fault propagation impact assessment of machining center components[J].Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 63-69.

Figures/Tables 8

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References 15

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前因组件	故障组件	传播次数
主轴S	刀库M	5
主轴S	进给J	2
数控NC	主轴S	1
数控NC	刀库M	1
数控NC	进给J	1
液压D	主轴S	1
液压D	刀库M	1
电气V	主轴S	1
电气V	刀库M	3
电气V	进给J	2
电气V	数控NC	1
电气V	冷却W	1
气动G	主轴S	1
气动G	刀库M	4
润滑L	主轴S	1
润滑L	刀库M	1
润滑L	进给J	4
冷却W	进给J	1
辅助K	进给J	1

组件	影响度值	排序结果
主轴S	0.0917	3
刀库M	0.0792	9
进给J	0.0792	9
数控NC	0.0887	5
液压D	0.0865	6
电气V	0.1461	1
气动G	0.0913	4
润滑L	0.0953	2
冷却W	0.0814	7
辅助K	0.0814	7
工作台T	0.0792	9

有向边	影响度值	排序	有向边	影响度值	排序
S→M	0.997 322	11	V→NC	0.969 659	16
S→J	0.997 322	11	V→W	0.958 707	17
NC→S	0.999 862	4	G→S	0.999 998	1
NC→M	0.998 398	8	G→M	0.997 479	10
NC→J	0.998 398	8	L→S	0.999 815	5
D→S	0.999 574	6	L→M	0.995 735	13
D→M	0.999 029	7	L→J	0.995 735	13
V→S	0.973 482	15	W→J	0.999 906	2
V→M	0.954 897	18	K→J	0.999 906	2
V→J	0.954 897	18

组件	不同组件下的平均故障率
组件	5000 h	6540 h
主轴S	0.0022	0.0021
刀库M	0.0032	0.0029
进给J	0.0014	0.0011
数控NC	0.0006	0.0005
压D	0.0024	0.0020
电气V	0.0016	0.0014
气动G	0.0008	0.0011
润滑L	0.0012	0.0011
冷却W	0.0028	0.0021
辅助K	0.0008	0.0009
工作台T	0.0016	0.0014

有向边	故障传播率值 5000 h	影响传播率值 6540 h
S→M	0.002 194	0.002 094
S→J	0.002 194	0.002 094
NC→S	0.000 600	0.000 500
NC→M	0.000 599	0.000 499
NC→J	0.000 599	0.000 499
D→S	0.002 399	0.001 999
D→M	0.002 398	0.001 998
V→S	0.001 558	0.001 363
V→M	0.001 528	0.001 337
V→J	0.001 528	0.001 337
V→NC	0.001 551	0.001 358
V→W	0.001 534	0.001 342
G→S	0.000 800	0.001 100
G→M	0.000 798	0.001 097
L→S	0.001 200	0.001 100
L→M	0.001 195	0.001 095
L→J	0.001 195	0.001 095
W→J	0.002 800	0.002 100
K→J	0.000 800	0.000 900

Fault propagation impact assessment of machining center components

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系统组件	故障传播影响力（5000 h）/排序	故障传播影响力（6540 h）/排序
主轴S	0.004 388/3	0.004 189/2
刀库M	0/9	0/9
进给J	0/9	0/9
数控NC	0.001 801/6	0.001 500/7
液压D	0.004 807/2	0.004 006/3
电气V	0.007 713/1	0.006 747/1
气动G	0.001 601/7	0.002 202/5
润滑L	0.003 595/4	0.003 295/4
冷却W	0.002 800/5	0.002 100/6
辅助K	0.000 800/8	0.000 900/8
工作台T	0/9	0/9

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