Transactions of Materials and Heat Treatment

Title：Research on condition monitoring and fault diagnose expert system in hydraulic control system of rolling mill looper

Authors： Qiao Wengang Zhao Jingsi Wang Lei

Unit： Inner Mongolia University of Science and Technology

KeyWords： fault diagnosis looper hydraulic system of rolling mill expert system knowledge base reasoing machine online monitoring

ClassificationCode：TG333.1

year,vol(issue):pagenumber：2017,42(6):122-125

Abstract：

In the rolled steel production line, the looper hydraulic system is a quite important part, and its failure will directly affect the quality of products and result in economic losses. Based on the hydraulic system failure of rolling mill looper having the characteristics of concealment, complexity and difficulty in exclusion, the fault diagnosis expert system was developed by Visual Basic 6.0 software. The expert diagnosis system adept the forward reasoning mechanism, and its knowledge base and reasoning machine were independent. Then, combining the expert system with the fuzzy set theory, the looper hydraulic system troubleshooting was carried out, and its accuracy was improved. Furthermore, according to the failure factors provided by the system, prioritize troubleshooting sequence can save time. The expert system is simple to handle with good practicability and good humanmachine interface.

Funds：

企业横向课题(2016123)

乔文刚（1961-），男，硕士，副教授

Reference：

［1］王学孔, 陈章位, 陈家焱. 轧机液压设备远程监测与故障诊断系统研究[J]. 机床与液压, 2010, 38(9):135-138.

Wang X K, Chen Z W, Chen J Y. Research on remote monitoring and fault diagnosis system of hydraulic equipment of rolling mill[J].Machine Tool & Hydraulics,2010, 38(9):135-138.

［2］乔文刚, 汪友龙, 李宣,等. 液压系统故障监测与诊断专家系统研究[J]. 液压与气动, 2007,(11):40-43.

Qiao W G, Wang Y L, Li X, et al.The research of monitoring and diagnose expert system in hydraulic system[J].Chinese Hydraulics & Pneumatics,2007,(11):40-43.

［3］李金刚, 聂宇峰. 基于模糊理论的铣刨机液压系统状态监测与故障诊断[J]. 建设机械技术与管理, 2006, 19(1):91-93.

Li J G, Nie Y F. Condition monitoring and trouble diagnosis for hydraulic system of miller planer based on the fuzzy theory[J]. Construction Machinery Technology & Management,2006, 19 (1):91-93.

［4］安向东, 刘芳. 工程机械液压故障诊断系统[J]. 机电产品开发与创新, 2015, 28(2):51-52.

An X D, Liu F. The hydraulic breakdown diagnosis system to construction machinery [J].Development & Innovation of Machinery & Electrical Products, 2015, 28(2):51-52.

［5］王礼军. 模糊神经网络专家系统在发动机故障诊断中的应用研究[D]. 重庆：重庆交通大学,2012.

Wang L J. Fuzzy Neural Network Expert System Application Research on Electronic Control Engine Fault Diagnosis[D]. Chongqing: Chongqing Jiaotong University, 2012.

Service：

【This site has not yet opened Download Service】【Add Favorite】