Hydraulic Torque Converter’s Performance Analysis Based on Neural-Fuzzy System

Guo Fu Tian; Ke Qiang Feng; Shu Hui Sun

doi:10.4028/www.scientific.net/AMM.71-78.2002

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 71-78Hydraulic Torque Converter’s Performance Analysis...

Hydraulic Torque Converter’s Performance Analysis Based on Neural-Fuzzy System

Abstract:

Aimed at the need of data processing and analysis in the performance experiment of hydraulic torque converter, we put forward a way of experiment data analysis using neural-fuzzy system. It can reduce manual participation, improve the data processing ability, accelerate computing velocity and realize data handling automation. We can judge product’s performance by this method. The use in experiment data indicates that it can express the relation of original data nicely. The identifying accuracy of data is good. It can satisfy the request of experiment analysis and the analytical conclusion is accurate too.

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Periodical:

Applied Mechanics and Materials (Volumes 71-78)

Pages:

2002-2005

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.71-78.2002

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Online since:

July 2011

Authors:

Guo Fu Tian, Ke Qiang Feng, Shu Hui Sun

Keywords:

Analysis, Data Processing, Hydraulic Torque Converter, Neural-Fuzzy System, Performance

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