Researcher at Indian Institute of Technology Indore Releases New Data on Support Vector Machines (Semi-Supervised Approach Using Transductive Support Vector Mac hine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder)
Researcher at Indian Institute of Technology Indore Releases New Data on Support Vector Machines (Semi-Supervised Approach Using Transductive Support Vector Mac hine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on are presented in a new r eport. According to news reporting out of Madhya Pradesh, India, by NewsRx edito rs, research stated, "Hydraulic cylinders with higher stages of extraction are e xtensively used in earthmoving and heavy machines due to their longer stroke, sh orter retracted length, and high-end performance." Our news journalists obtained a quote from the research from Indian Institute of Technology Indore: "The rigorous and long hours of operations make cylinders pr one to internal leakage, which visually remains unnoticeable. This paper present s the conceptualization and realization of a newly developed 210 bar high-pressu re hydraulic test rig actuated by a two-stage hydraulic cylinder. Experiments ha ve been carried out to acquire pressure signals for two different leakage condit ions (3% and 5% for moderate and severe leakages res pectively) in the ramp wave motion of the cylinder. A decline in the working pre ssure and the piston velocity by approximately 10% and 45% for these leakage conditions respectively is noted. The time-frequency analysis infers these signals contain low-frequency components."
Key words
Indian Institute of Technology Indore/M adhya Pradesh/India/Asia/Emerging Technologies/Machine Learning/Support Vec tor Machines/Vector Machines
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