Application of Neural-Fuzzy System in Data Processing of Hydraulic Torque Converter’s Performance Test

Guo Fu Tian; Shi Jie Wang; Shu Hui Sun; Zhong Wei Ren

doi:10.4028/www.scientific.net/AMR.308-310.1782

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Application of Neural-Fuzzy System in Data Processing of Hydraulic Torque Converter’s Performance Test
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 308-310Application of Neural-Fuzzy System in Data...

Application of Neural-Fuzzy System in Data Processing of Hydraulic Torque Converter’s Performance Test

Abstract:

Aimed at the need of data processing and analysis in the performance test of hydraulic torque converter, we put forward a way of test 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 test data analysis and the analytical conclusion is accurate too.

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Periodical:

Advanced Materials Research (Volumes 308-310)

Pages:

1782-1787

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.308-310.1782

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Online since:

August 2011

Authors:

Guo Fu Tian, Shi Jie Wang, Shu Hui Sun, Zhong Wei Ren

Keywords:

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

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