基于不同故障传播路径差异化的故障诊断方法

谭帅; 王一帆; 姜庆超; 侍洪波; 宋冰

doi:10.16383/j.aas.c240151

基于不同故障传播路径差异化的故障诊断方法

doi: 10.16383/j.aas.c240151 cstr: 32138.14.j.aas.c240151

谭帅^1,,
王一帆^1,,
姜庆超^1,,
侍洪波^1,,
宋冰^1,

1.
华东理工大学控制科学与工程学院能源化工过程智能制造教育部重点实验室上海 200237

基金项目: 国家自然科学基金(62273147), 上海市自然科学基金(22ZR1417000)资助

详细信息

作者简介:
谭帅：华东理工大学副教授. 2012年获得东北大学博士学位. 主要研究方向为复杂过程运行状态评价及故障诊断, 多源数据融合. 本文通信作者. E-mail: tanshuai@ecust.edu.cn

王一帆：2024年获得华东理工大学硕士学位. 主要研究方向为故障检测与诊断. E-mail: fan@mail.ecust.edu.cn

姜庆超：华东理工大学教授. 2015年获得华东理工大学博士学位. 主要研究方向为复杂过程建模与状态监测, 机器视觉与图像处理. E-mail: qchjiang@ecust.edu.cn

侍洪波：华东理工大学教授. 2000年获得华东理工大学博士学位. 主要研究方向为安全环境足迹监控, 溯源诊断. E-mail: hbshi@ecust.edu.cn

宋冰：华东理工大学副教授. 2017年获得华东理工大学博士学位. 主要研究方向为故障诊断, 智能监控. E-mail: songbing@ecust.edu.cn

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出版历程
- 收稿日期: 2024-03-25
- 录用日期: 2024-08-07
- 网络出版日期: 2024-09-10

Fault Propagation Path-aware Network: A Fault Diagnosis Method

1.
Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237

Funds: Supported by the National Natural Science Foundation of China (62273147) and Shanghai Natural Science Foundation (22ZR1417000)

More Information

Author Bio:
TAN Shuai　Associate professor at East China University of Science and Technology. She received her Ph.D. degree from Northeastern University in 2012. Her research interest covers complex process operation state evaluation and fault diagnosis, multi-source data fusion. Corresponding author of this paper

WANG Yi-Fan　Received her master degree from East China University of Science and Technology in 2024. Her research interest covers fault detection and diagnosis

JIANG Qing-Chao　Professor at East China University of Science and Technology. He received his Ph.D. degree from East China University of Science and Technology in 2015. His research interest covers complex process modeling and condition monitoring, machine vision and image processing

SHI Hong-Bo　Professor at East China University of Science and Technology. He received his Ph.D. degree from East China University of Science and Technology in 2000. His research interest covers security and environmental footprint monitoring, traceability and diagnosis

SONG Bing　Associate professor at East China University of Science and Technology. He received his Ph.D. degree from East China University of Science and Technology in 2017. His research interest covers fault diagnosis and intelligent monitoring

摘要

摘要: 针对工业过程中故障发生源与故障信息在传播过程中的差异性问题, 提出了一种基于不同故障传播路径差异化的故障诊断方法. 该方法分别从故障源邻域信息关系和故障信息传播两个角度出发, 设计了基于k近邻筛选和基于剪枝的k跳可达路径选择的两种故障源图的构建方式, 构建“故障源图”. 从故障在变量间的差异化表现着手, 将基于特征的分类问题转换为基于结构关系的图匹配问题, 利用该结构化信息优化过程特征, 提升模型故障诊断性能. 最后, 通过田纳西−伊斯曼过程和某海底盾构掘进施工过程进行仿真验证, 实验结果证明了所提方法的有效性.
- 故障诊断 /
- 图神经网络 /
- 故障源图 /
- 故障根源 /
- 故障传播路径
Abstract: In order to address the issue of variability of fault sources and fault information in the propagation process in industrial processes, this paper proposes a fault diagnosis method based on Fault Propagation Path-Aware Network. The method is based on two perspectives of fault source neighbourhood information relationship and fault information propagation, and designs two ways of constructing fault source graphs based on k-nearest-neighbour filtering and pruning-based k-hop reachable path selection to construct a “fault source graph”. Based on the differentiation of faults among variables, the feature-based classification problem is viewed as a graph matching problem based on structural relationships, and the structural information is used to optimise the process features and improve the fault diagnosis performance of the model. Finally, the simulation is verified by the Tennessee-Eastman process and a submarine shield boring construction process, and the experimental results prove the effectiveness of the proposed method.
- Fault diagnosis /
- graph neural network /
- fault source graph /
- fault root cause /
- fault propagation path

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图 1 FPPAN的网络结构

Fig. 1 Network architecture of FPPAN

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图 2 k-NN故障源图构建过程

Fig. 2 Construction process of k-NN fault source graph

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图 3 k-PHop故障源图构建过程

Fig. 3 Construction process of k-PHop fault source graph

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图 4 故障1的故障源图

Fig. 4 Fault source graphs for fault 1

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图 5 故障4的故障源图

Fig. 5 Fault source graphs for fault 4

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图 6 故障11的故障源图

Fig. 6 Fault source graphs for fault 11

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图 7 故障4的传播路径

Fig. 7 Propagation path for fault 4

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图 8 不同k值下的FPPAN-k-NN的性能

Fig. 8 Performance of FPPAN-k-NN with different k values

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图 9 不同k值和p值下的FPPAN-k-PHop的性能

Fig. 9 Performance of FPPAN-k-PHop with different k values and p values

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图 10 不同ρ值下的FPPAN的性能

Fig. 10 Performance of FPPAN with different ρ values

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图 11 盾构机内部结构示意图

Fig. 11 Schematic diagram of the internal structure of shield tunneling machine

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图 12 故障1的故障源图

Fig. 12 Fault source graphs for fault 1

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表 1 TE过程故障信息

Table 1 Fault information for the TE process

序号	故障描述	类型
1	$A/C $进料流量比值变化, B含量不变	阶跃
2	B含量变化, $A/C $进料流量比值不变	阶跃
3	物料D温度发生变化	阶跃
4	反应器冷却水入口温度变化	阶跃
5	冷凝器冷却水入口温度变化	阶跃
6	物料A损失	阶跃
7	物料C压力损失	阶跃
8	物料A、B、C的组成成分变化	随机
9	D进料温度变化	随机
10	C进料温度变化	随机
11	反应器冷却水入口温度变化	随机
12	冷凝器冷却水入口温度变化	随机
13	反应器动力学常数变化	缓慢漂移
14	反应器冷却水阀门	粘滞
15	冷凝器冷却水阀门	粘滞

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表 2 不同方法在TE过程上的故障诊断表现

Table 2 Fault diagnosis performance of different methods on TE process

序号	PCA + LDA	SVM	DCNN	GCN	GAT	PTCN	IAGNN-CON	IAGNN-AT	FPPAN-k-NN	FPPAN-k-PHop
1	1.000	1.000	0.997	0.973	0.983	1.000	0.960	0.880	1.000	1.000
2	1.000	1.000	1.000	0.864	1.000	1.000	0.987	0.997	1.000	1.000
3	0.103	0.541	0.439	0.355	0.362	0.329	0.280	0.319	0.331	0.561
4	0.747	1.000	0.997	0.997	0.963	1.000	0.917	0.953	1.000	1.000
5	0.547	0.938	0.970	0.613	0.240	0.963	0.346	0.452	0.975	0.961
6	1.000	1.000	1.000	0.973	1.000	1.000	1.000	1.000	1.000	1.000
7	1.000	1.000	1.000	0.678	0.924	1.000	0.960	0.983	1.000	1.000
8	0.464	0.613	0.674	0.243	0.452	0.681	0.465	0.475	0.731	0.728
9	0.139	0.159	0.073	0.206	0.021	0.050	0.342	0.213	0.199	0.262
10	0.084	0.047	0.792	0.352	0.472	0.498	0.508	0.375	0.827	0.694
11	0.046	0.284	0.967	0.967	0.781	0.977	0.960	0.970	1.000	1.000
12	0.269	0.853	0.714	0.595	0.664	0.867	0.631	0.671	0.883	0.869
13	0.450	0.362	0.621	0.173	0.011	0.794	0.090	0.123	0.711	0.739
14	0.058	0.997	1.000	1.000	1.000	0.967	1.000	1.000	1.000	1.000
15	0.151	0.177	0.212	0.276	0.193	0.301	0.282	0.279	0.312	0.196
平均值	0.471	0.665	0.764	0.618	0.604	0.762	0.649	0.646	0.798	0.801

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表 3 盾构施工故障信息

Table 3 Fault information for the shield tunneling construction

序号	故障描述
1	刀盘结泥饼
2	泥浆管路漏浆
3	刀盘驱动故障
4	推进系统故障

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表 4 不同方法在盾构施工上的故障诊断表现

Table 4 Fault diagnosis performance of different methods for the shield tunneling construction

序号	PCA + LDA	SVM	DCNN	GCN	GAT	PTCN	IAGNN-CON	IAGNN-AT	FPPAN-k-NN	FPPAN-k-PHop
1	0.853	1.000	1.000	0.751	0.976	1.000	0.835	0.923	1.000	1.000
2	0.741	0.802	1.000	0.664	0.936	1.000	0.785	0.889	1.000	1.000
3	0.579	0.631	0.931	0.875	0.756	0.944	0.823	0.845	1.000	1.000
4	0.601	0.629	0.900	0.520	0.892	0.961	0.717	0.803	0.994	0.996
平均值	0.694	0.770	0.958	0.703	0.890	0.976	0.790	0.865	0.999	0.999

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