安全、健康和环境2025，Vol.25Issue(6)：23-31,9.DOI:10.3969/j.issn.1672-7932.2025.06.004
工业控制系统故障诊断与预知方法研究
Research on Fault Diagnosis and Prognostic Methods of Industrial Control Systems
摘要
Abstract
Industrial Control Systems(ICS)are widely utilized in the field of process industry and is a core component of process industry automation.Regular fault diagnosis of ICS is the key to ensuring that the system can achieve its designed functions.Currently,it is facing the dual challenges of complex failure mechanisms and the lack of universal diagnostic criteria.In response to this current situation,a fault diagnosis method based on failure mode correlation and multi-physics field coupling was proposed,and a controller failure mode map-ping model covering 13 failure scenarios and a hardware degradation quantification model were constructed.The domestic intelligent detection equipment was innovatively developed,which solved the problem of incompatibili-ty in hardware diagnosis among different brands and models,improved the efficiency and accuracy of fault iden-tification,shortened the preventive maintenance cycle,and reduced the risk of unplanned shutdown of the e-quipment.By integrating multi-dimensional diagnostic methods and intelligent detection equipment,a standard-ized assessment system covering the entire life cycle of ICS was formed,providing reusable technical solutions for enhancing the safe operation level of industrial systems.关键词
工业控制系统/失效机理/故障诊断/预知方法/检测装备/预防性维护Key words
industrial control system/failure mechanism/fault diagnosis/prognostic methods/detection e-quipment/preventive maintenance分类
机械工程引用本文复制引用
曹德舜..工业控制系统故障诊断与预知方法研究[J].安全、健康和环境,2025,25(6):23-31,9.基金项目
中国石化科技部课题(320041),罐区安全控制系统国产化开发技术研究 （320041）
中国石化科技部课题(324103),石化仪控关键硬件故障预知与寿命预测研究. （324103）
