Research of Energy Consumption Pattern Classification Based on Fuzzy Logic and RBF Networks in Hydraulic Systems
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 se...
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IFSA Publishing, S.L.
2016-10-01
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| Series: | Sensors & Transducers |
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| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/october_2016/Vol_205/P_RP_0215.pdf |
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doaj-2312b7243d8348739927b5b4daa15cfc2020-11-25T00:13:59ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792016-10-01205105862 Research of Energy Consumption Pattern Classification Based on Fuzzy Logic and RBF Networks in Hydraulic SystemsXiangyu He0 Shanghong He1College of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha, Hunan, 410004, ChinaCollege of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha, Hunan, 410004, ChinaBased 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. http://www.sensorsportal.com/HTML/DIGEST/october_2016/Vol_205/P_RP_0215.pdfHydraulic systemEnergy consumption patternFuzzy logicAuto-regressive with extra outputs (ARX) model. |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Xiangyu He Shanghong He |
| spellingShingle |
Xiangyu He Shanghong He Research of Energy Consumption Pattern Classification Based on Fuzzy Logic and RBF Networks in Hydraulic Systems Sensors & Transducers Hydraulic system Energy consumption pattern Fuzzy logic Auto-regressive with extra outputs (ARX) model. |
| author_facet |
Xiangyu He Shanghong He |
| author_sort |
Xiangyu He |
| title |
Research of Energy Consumption Pattern Classification Based on Fuzzy Logic and RBF Networks in Hydraulic Systems |
| title_short |
Research of Energy Consumption Pattern Classification Based on Fuzzy Logic and RBF Networks in Hydraulic Systems |
| title_full |
Research of Energy Consumption Pattern Classification Based on Fuzzy Logic and RBF Networks in Hydraulic Systems |
| title_fullStr |
Research of Energy Consumption Pattern Classification Based on Fuzzy Logic and RBF Networks in Hydraulic Systems |
| title_full_unstemmed |
Research of Energy Consumption Pattern Classification Based on Fuzzy Logic and RBF Networks in Hydraulic Systems |
| title_sort |
research of energy consumption pattern classification based on fuzzy logic and rbf networks in hydraulic systems |
| publisher |
IFSA Publishing, S.L. |
| series |
Sensors & Transducers |
| issn |
2306-8515 1726-5479 |
| publishDate |
2016-10-01 |
| description |
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.
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| topic |
Hydraulic system Energy consumption pattern Fuzzy logic Auto-regressive with extra outputs (ARX) model. |
| url |
http://www.sensorsportal.com/HTML/DIGEST/october_2016/Vol_205/P_RP_0215.pdf |
| work_keys_str_mv |
AT xiangyuhe researchofenergyconsumptionpatternclassificationbasedonfuzzylogicandrbfnetworksinhydraulicsystems AT shanghonghe researchofenergyconsumptionpatternclassificationbasedonfuzzylogicandrbfnetworksinhydraulicsystems |
| _version_ |
1725392155059421184 |