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Vol. 205, Issue 10, October 2016, pp. 58-62

 

Bullet

 

Research of Energy Consumption Pattern Classification Based on Fuzzy Logic
and RBF Networks in Hydraulic Systems
 

Xiangyu He, Shanghong He

College of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha, Hunan, 410004, China

E-mail: hexiangyu2014@163.com

 

Received: 13 October 2016 /Accepted: 28 October 2016 /Published: 31 October 2016

Digital Sensors and Sensor Sysstems

 

Abstract: Based on fuzzy logic theory and RBF networks, an energy consumption pattern classification approach for the hydraulic systems was proposed in this paper. First, the energy consumption pattern features are extracted from a fuzzy auto-regressive with extra outputs (FARX) model. Second, RBF networks serve as a classifier and the work condition and energy consumption patterns of the hydraulic systems are identified. Several typical energy consumption patterns of hydraulic systems were used to verify the classification approach.

 

Keywords: Hydraulic system, Energy consumption pattern, Fuzzy logic, Auto-regressive with extra outputs (ARX) model.

 

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