Title :
The fault diagnosis of hydraulic pump based on the data fusion of D-S evidence theory
Author_Institution :
Huaiyin Inst. of Technol., Huaian, China
Abstract :
According to D-S evidence theory, build the multiple fault diagnosis system based on the data fusion, using distance method of Manhattan to construct with fault diagnosis characteristic of basic probability assignment function, which ensures the objectification of credibility distribution evaluation. Take the plunger pump as the experimental object, to apply the fault diagnosis system to fault diagnosis of hydraulic pump, examples show that it can effectively improve the reliability of diagnostic, which fully revealed that the diagnosis method is effective.
Keywords :
fault diagnosis; hydraulic systems; inference mechanisms; mechanical engineering computing; probability; pumps; sensor fusion; D-S evidence theory; Manhattan distance method; credibility distribution evaluation objectification; data fusion; hydraulic pump; multiple fault diagnosis system; plunger pump; probability assignment function; Cognition; Fault diagnosis; Indexes; Reliability theory; Uncertainty; Vibrations; D-S evidential theory; basic possibility assignment; fault diagnosis; hydraulic pump;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6201774