Title :
Intelligent Arithmetic for the State Evaluation Feature Selection and Optimize
Author :
Qiu, Jinshui ; Liu, Boyun ; Zhang, Xiaodong
Author_Institution :
Power Eng. Coll., Naval Univ. of Eng., Wuhan, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
Feature selection is the basic of the state evaluation and fault diagnosis, and it is difficult to get the reasonable token feature. In the paper, an intelligence method of state feature system establishment and optimize has been studied. Diesel engine was illustrated in the paper, the signal of diesel engine has been collected when the piston ring and airtight ring working at different state, then with the intelligent algorithm, an optimum parameter combination has been received. Example shows this intelligent feature selection and optimize method is sample and efficiency, furthermore, this method is valuable for the virtual state evaluation of similar complex system.
Keywords :
diesel engines; fault diagnosis; mechanical engineering computing; testing; airtight ring; diesel engine; fault diagnosis; intelligent arithmetic; piston ring; state evaluation feature selection; state feature system establishment; virtual state evaluation; Arithmetic; Diesel engines; Employee welfare; Engine cylinders; Fault diagnosis; Optimization methods; Piezoelectric transducers; Pistons; Pressure measurement; System testing; bootstrap; feature selection; genetic algorithm;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.154
