Data-driven intermittent connection fault diagnosis for complex topology DeviceNet based on Bayesian inference
Regular Papers|Updated:2025-07-28
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Data-driven intermittent connection fault diagnosis for complex topology DeviceNet based on Bayesian inference
Enhanced Publication
基于贝叶斯推断的数据驱动复杂拓扑DeviceNet间歇性连接故障诊断方法
“In the field of industrial automation systems, a novel data-driven intermittent connection fault diagnosis method based on Bayesian inference is proposed for DeviceNet with complex topologies. This method can accurately and efficiently localize all IC faults in the network without interrupting the normal system operation, providing solutions to solve IC fault diagnosis problems in complex DeviceNet systems.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 7, Pages: 1194-1208(2025)
Affiliations:
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
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Related Institution
School of Automation Engineering, University of Electronic Science and Technology of China
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