锻压技术

基于专家系统的离合器制动器故障诊断

英文标题：Fault diagnosis for clutch and brake based on expert system

作者：李猛曹春平孙宇

单位：南京理工大学

分类号：TG315.5

出版年,卷(期):页码：2017,42(12):163-168

摘要：

为了提高离合器制动器故障诊断的效率，针对离合器制动器故障的特点，设计了一种基于故障树分析和二元决策图的专家系统结构，提出了一种基于专家系统的离合器制动器故障诊断方法。首先利用鱼骨图分析离合器制动器的故障原因，建立故障树；其次利用二元决策图对故障树进行定性分析，获取诊断专家知识，并用产生式规则表示知识，建立故障诊断知识库；随后利用二元决策图对故障树进行定量分析，求解最小割集的重要度，确定规则优先级，从而解决规则冲突问题，提高故障诊断的效率；最后开发了离合器制动器故障诊断专家系统的原型系统，结果证明了该方法的有效性和可行性。

In order to improve the efficiency of fault diagnosis for clutch and brake and aiming at the characteristics of clutch and brake failure, an expert system structure was designed based on fault tree analysis and binary decision diagrams, and a fault diagnosis method for clutch and brake based on expert system was proposed. Firstly, the fault tree was established by analyzing the fault cause of the clutch and brake through fishbone diagram. Secondly, the fault tree was analyzed qualitatively by binary decision diagrams to obtain the knowledge of diagnostic experts, and the fault diagnosis knowledge base was established by production rules. Then, the fault tree was analyzed quantitatively by binary decision diagrams to calculate the importance of the minimum cut set and determine the rule priority, and the problem of rule conflict was solved and the efficiency of fault diagnosis was improved. Finally, the prototype system of the fault diagnosis expert system of clutch and brake was developed. The results show the effectiveness and feasibility of the proposed method.

基金项目：

江苏省重点研发计划——产业前瞻工艺性关键技术（BE2015011-3）

作者简介：李猛（1990-），男，硕士研究生 E-mail：2414519510@qq.com 通讯作者：曹春平（1976-），女，博士，副教授 E-mail：ccp_alice@163.com

参考文献：

［1］李红卫, 杨东升, 孙一兰, 等. 智能故障诊断技术研究综述与展望[J]. 计算机工程与设计, 2013, 34(2): 632-637.

Li H W, Yang D S, Sun Y L, et al. Study review and prospect of intelligent fault diagnosis technique[J]. Computer Engineer and Design, 2013, 34(2): 632-637.

［2］苏畅, 孙勇, 徐超, 等. 人工智能方法在热模锻压力机故障诊断技术中的应用[J].锻压技术，2015, 40(4):102-105.

Su C, Sun Y, Xu C, et al. Application of artificial intelligence methods in fault diagnosis technology of hot die forging press[J]. Forging ＆ Stamping Technology, 2015, 40(4): 102-105.

［3］宗群, 李光宇, 郭萌. 基于故障树的电梯故障诊断专家系统设计[J]. 控制工程, 2013, 20(2): 305-308.

Zong Q, Li G Y, Guo M. Design of diagnostic expert system for elevator system based on FTA[J]. Control Engineering of China, 2013, 20(2): 305-308.

［4］李蒙, 龙伟, 龚莹,等. 专家系统在汽车厂压力机故障诊断中的应用[J]. 南昌大学学报：理科版, 2014，38(1): 36-40.

Li M, Long W, Gong Y, et al. Application of expert system in automobile plant presses fault diagnosis [J]. Journal of Nanchang University: Natural Science, 2014, 38(1): 36-40.

［5］Guo R C, Yang P, Pan X. Design of fault diagnosis expert system for civil aircraft based on FTA-BDD analysis[A]. Chinese Control and Decision Conference[C]. New York:IEEE, 2015.

［6］Hu R, Mi J, Hu T, et al. Reliability research for PV system using BDD-based fault tree analysis [A]. International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering[C]. New York:IEEE, 2013.

［7］陈传海, 杨兆军, 陈菲,等. 基于BDD技术的数控机床故障树分析[J]. 工程与试验, 2010, 50(3): 13-16.

Chen C H, Yang Z J, Chen F, et al. Fault tree analysis on CNC machine tools based on BDD technology [J]. Engineering ＆ Test, 2010, 50(3): 13-16.

［8］赵旭辉. 热模锻压力机的应用现状分析[J]. 金属加工：热加工, 2014,(5): 54-54.

Zhao X H. Application analysis of hot forging press [J]. Metal Processing: Hot Working, 2014, (5): 54-54.

［9］Rmenyte R, Andrews J. A simple component connection approach for fault tree conversion to binary decision diagram [A]. Proceedings of the First International Conference on Availability, Reliability and Security[C]. New York:IEEE, 2006.

［10］苏晓勤. 故障树分析算法改进研究与实现[D]. 天津：河北工业大学, 2005.

Su X Q. Research and Implementation of Improved Fault Tree Analysis Algorithm [D]. Tianjin: Hebei University of Technology, 2005.

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