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Comparison of energy saving and recovery systems for hydraulic mobile machines
Author(s) -
A Bonavolontà,
Cesare Dolcin,
Pietro Marani,
Emma Frosina,
Adolfo Senatore
Publication year - 2019
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5138758
Subject(s) - excavator , boom , computer science , ranging , margin (machine learning) , energy (signal processing) , actuator , hydraulic machinery , power (physics) , control engineering , automotive engineering , engineering , mechanical engineering , telecommunications , statistics , physics , mathematics , quantum mechanics , machine learning , environmental engineering , artificial intelligence

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