Application of hydraulic system in condition measurement and fault diagnose based on of information fusion

Author

Liang, Guihang ; Mu Chunyan ; Yu Jingnuo ; Feng, Baofu

Author_Institution

Sch. of Traffic, Ludong Univ., Yantai, China

Volume

5

fYear

2010

fDate

27-29 March 2010

Firstpage

86

Lastpage

89

Abstract

A method for fault diagnoses of hydraulic system for construction machinery and equipment based on the information fusion logic theory is put forward. The theory of the method is described. It can get the data of hydraulic system for construction machinery and equipment by various type sensors. The model of hydraulic system for construction machinery and equipment condition measurement and fault diagnoses is set up by using the state data as learning samples. And the hydraulic system for construction machinery and equipment state is identified by the model. The results after tested show that this method has the advantages that various tested information of fault symptoms can be made full use of to diagnose accurately faults of the hydraulic system for construction machinery and equipment. It can improve the veracity for diagnose the fault of hydraulic system.

Keywords

condition monitoring; construction equipment; fuzzy neural nets; hydraulic systems; machinery; production engineering computing; sensor fusion; condition measurement; construction equipment; construction machinery; fault diagnosis; fuzzy neural network; hydraulic system; information fusion logic theory; sensors; Condition monitoring; Data analysis; Educational institutions; Fuzzy neural networks; Hydraulic systems; Information analysis; Machinery; Sensor fusion; Sensor systems; System testing; condition measurement; fault diagnosis; fuzzy neural network; information fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5487291

Filename

5487291