Transactions of Materials and Heat Treatment

Title：Application of artificial intelligence methods in fault diagnosis technology of hot die forging press

Authors： Su Chang Sun Yong Xu Chao Jiang Peng Liu Bo

Unit： Beijing Research Institute of Mechanical & Electrical Technology

KeyWords： hot die forging press fault diagnosis fault tree case-based reasoning rule-based reasoning

ClassificationCode：

year,vol(issue):pagenumber：2015,40(4):102-105

Abstract：

In order to improve the efficiency of fault diagnosis in the production of hot die forging press, the failure mechanism of hot die forging press was analyzed，the fault diagnosis of hot die forging press was researched by the intelligent methods of rule-based reasoning and case-based reasoning. Combined with the characteristics of the hot die forging press with two kinds of reasoning technology in their respective limitations, an artificial intelligence method, which is suitable for the fault diagnosis of hot die forging press integrated rule-based reasoning and case-based reasoning, was put forward. The fault tree of fault diagnosis in the production of hot die forging press was built, and the minimum cut sets resulting in fault phenomenon were obtained. The five-tuple array describing fault cases were established, and the analysis on case-based reasoning of clutch skid and brake skid was conducted. Therefore, the difficulties of knowledge acquisition were solved to some extent.

Funds：

2014年智能制造装备发展专项(数字化锻造车间系统研制与应用示范)

苏畅（1989-），女，硕士研究生

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