DocumentCode
1800950
Title
Neural network identifying system for the gapping of main journal bearing of engine
Author
Xuejun, Jiang ; Fei, Tang ; Zhimin, Li ; Baohui, Qi
Author_Institution
Inst. of Manage. Sci. & Eng., Dalian Univ. of Technol., China
fYear
1999
fDate
1999
Firstpage
232
Abstract
This paper presents a neural network system-GTNN for identifying the gapping of the main journal bearing of engines. Calculation results are compared with the experiment data, and the error of them is acceptable. Finally the explanation of the calculation result is given
Keywords
feedforward neural nets; identification; internal combustion engines; mechanical engineering computing; multilayer perceptrons; internal combustion engine; main journal bearing gapping; multilayer feedforward neural network; neural network identifying system; Fault diagnosis; Feedforward neural networks; Internal combustion engines; Multi-layer neural network; Neural networks; Paper technology; Signal analysis; Signal processing; Signal processing algorithms; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location
Changchun
Print_ISBN
0-7803-5296-3
Type
conf
DOI
10.1109/IVEC.1999.830672
Filename
830672
Link To Document