吉林大学学报(工学版) ›› 2009, Vol. 39 ›› Issue (增刊2): 220-0224.

• paper • Previous Articles     Next Articles

Study on fault diagnosis methods for automobile suspensions based on fuzzy mathematics

LIU Yu-mei1,SU Jian1,CAO Xiao-ning1,XIONG Wei2,SONG Xue-zhong3   

  1. 1.College of Transportation, Jilin University, Changchun 130022 China;2. Changchun Railway Vehicle CO. LTD, Changchun 130025,China|3.Transit Administration of Jilin Province,Changchun 130021,China
  • Received:2009-03-05 Online:2009-09-30 Published:2009-09-30

Abstract:

This paper puts forward the diagnosis method based on fuzzy mathematics, introduces fuzzy mathematical method into the suspension fault diagnosis, and analysis the ambiguity relationship between the fault symptom and fault reason, establishes a fuzzy comprehensive evaluation model of the suspension fault diagnosis. And by means of the state parameters method, set up the membership function model and evaluate the suspension system comprehensively according to the Maximum Subordination Principle. The typical examples show the accuracy and practicality of the model.

Key words: automobile engineering, suspension system, fault diagnosis, fuzzy mathematics, maximum subordination principle

CLC Number: 

  • U279.3
[1] WANG De-jun, WEI Wei-li, BAO Ya-xin. Actuator fault diagnosis of ESC system considering crosswind interference [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1548-1555.
[2] LI Jing, ZHANG Jia-xu. Integrated control of vehicle chassis system based on robust L2-L/H method [J]. 吉林大学学报(工学版), 2016, 46(6): 1757-1764.
[3] SONG Da-feng, LI Guang-han, ZHANG Lin, PAN Bing, ZENG Xiao-hua, PENG Yu-jun, WANG Qing-nian. Application of fuzzy mathematics in fault diagnosis of motor of hybrid vehicle [J]. 吉林大学学报(工学版), 2016, 46(2): 354-359.
[4] SONG Bao-yu,XIE Zhi-jie,ZHANG Feng,WANG Rui-ze,HAO Ming-hui,SU Dai-zhong. Fault diagnosis algorithm for helical gear rotating at low speed on angular domain synchronous average and order tracking analysis [J]. 吉林大学学报(工学版), 2015, 45(2): 454-459.
[5] OUYANG Dan-tong,CHI Jin-jin,WANG Xiao-yu,ZHAO Xiang-fu ,MENG Xiang-yu. Approach of diagnosis of higher-order discrete event systems [J]. 吉林大学学报(工学版), 2015, 45(2): 562-568.
[6] ZHENG Xue-lian, LI Xian-sheng, REN Yuan-yuan, YANG Meng. Rollover stability analysis of tank vehicle impacted by transient liquid sloshing [J]. 吉林大学学报(工学版), 2014, 44(3): 625-630.
[7] WU Jian, ZHAO Yang, HE Rui. Fault detection and diagnosis of EMB sensor system based on SVR [J]. 吉林大学学报(工学版), 2013, 43(05): 1178-1183.
[8] HAO Yan, WANG Tai-yong, WAN Jian, ZHANG Pan, LIU Lu. Mechanical fault diagnosis based on empirical mode decomposition and generalized dimension [J]. 吉林大学学报(工学版), 2012, 42(02): 392-396.
[9] CHEN Yun-han, QIN Gui-he, YU He, HUANG Yue. In-vehicle network management system complied with OSEK/VDX direct NM [J]. 吉林大学学报(工学版), 2011, 41(05): 1407-1413.
[10] KONG Fan-sen,WU Ya-fu,LI Cong. Assessment of fault diagnosis complexity about electrical fault diagnosis of equipment based on information entropy [J]. 吉林大学学报(工学版), 2011, 41(03): 697-701.
[11] SHAO Ji-ye,WANG Ri-xin,XU Min-qiang. Application of Bayesian network in model-based fault diagnosis [J]. 吉林大学学报(工学版), 2010, 40(01): 234-0237.
[12] ZHENG Rui-rui,ZHAO Ji-yin,WANG Zhi-nan,WU Bao-chun . Power transformer fault diagnosis based on improved gray clustering analysis [J]. 吉林大学学报(工学版), 2008, 38(05): 1237-1241.
[13] Zhao Ji-yin;Zheng Rui-rui;Liu Yu . Power transformer fault diagnosis based on trapezium gray clustering analysis [J]. 吉林大学学报(工学版), 2008, 38(03): 726-0730.
[14] Zhao Yan-ju; Wang Tai-yong; Xu Yue;Cao Kang-ping; Zhang Pan; Deng Hui. Development of portable fault diagnosis instrument based on dual CPU [J]. 吉林大学学报(工学版), 2008, 38(03): 557-0560.
[15] He Xiang-yu,He Qing-hua .

Fault diagnosis for excavator hydraulic system based on auto-regressive with extra inputs model and fuzzy C-means clustering

[J]. 吉林大学学报(工学版), 2008, 38(01): 183-187.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!