Title :
Suspension system fault diagnosis method based on fuzzy mathematics
Author :
Liu, Yu-mei ; Cao, Xiao-ning ; Su, Jian ; Guo, Qiang ; Feng-Ying, Lu ; Cui, Li
Author_Institution :
Transp. & Traffic Coll., Jilin Univ. Changchun, Changchun, China
Abstract :
In order to ensure the performance of vehicle suspension always in good condition, the suspension performance should be detected regularly, to identify the fault symptom and fault reason. In view of the complex correlation of the suspension symptom and fault reason, 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.
Keywords :
fault diagnosis; fuzzy set theory; suspensions (mechanical components); vehicles; fault diagnosis method; fuzzy comprehensive evaluation model; fuzzy mathematics; maximum subordination principle; vehicle suspension system; Fault detection; Fault diagnosis; Fuzzy systems; Instruments; Mathematical model; Mathematics; Testing; Vehicle detection; Vehicle safety; Vehicles; Fuzzy matrix; Maximum Subordination Principle; automobile engineering; fault diagnosis; fuzzy mathematics; suspension system;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274890