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Pre-processing of load data of agricultural tractors during major field operations

  • Ryu, Myong-Jin (Innovative Agricultural Machinery R&D Center, LS Mtron Ltd.) ;
  • Kabir, Md. Shaha Nur (Dept. of Biosystems Machinery Engineering, Chungnam National University) ;
  • Choo, Youn-Kug (Dept. of Biosystems Machinery Engineering, Chungnam National University) ;
  • Chung, Sun-Ok (Dept. of Biosystems Machinery Engineering, Chungnam National University) ;
  • Kim, Yong-Joo (Dept. of Biosystems Machinery Engineering, Chungnam National University) ;
  • Ha, Jong-Kyou (Research Institute, Kukje Machinery Co., Ltd.) ;
  • Lee, Kyeong-Hwan (Dept. of Rural & Bio-Systems Engineering, Chonnam National University)
  • Received : 2015.02.27
  • Accepted : 2015.03.23
  • Published : 2015.03.31

Abstract

Development of highly efficient and energy-saving tractors has been one of the issues in agricultural machinery. For design of such tractors, measurement and analysis of load on major power transmission parts of the tractors are the most important pre-requisite tasks. Objective of this study was to perform pre-processing procedures before effective analysis of load data of agricultural tractors (30, 75, and 82 kW) during major field operations such as plow tillage, rotary tillage, baling, bale wrapping, and to select the suitable pre-processing method for the analysis. A load measurement systems, equipped in the tractors, were consisted of strain-gauge, encoder, hydraulic pressure, and radar speed sensors to measure torque and rotational speed levels of transmission input shaft, PTO shaft, and driving axle shafts, pressure of the hydraulic inlet line, and travel speed, respectively. The entire sensor data were collected at a 200-Hz rate. Plow tillage, rotary tillage, baling, wrapping, and loader operations were selected as major field operations of agricultural tractors. Same or different farm works and driving levels were set differently for each of the load measuring experiment. Before load data analysis, pre-processing procedures such as outlier removal, low-pass filtering, and data division were performed. Data beyond the scope of the measuring range of the sensors and the operating range of the power transmission parts were removed. Considering engine and PTO rotational speeds, frequency components greater than 90, 60, and 60 Hz cut off frequencies were low-pass filtered for plow tillage, rotary tillage, and baler operations, respectively. Measured load data were divided into five parts: driving, working, implement up, implement down, and turning. Results of the study would provide useful information for load characteristics of tractors on major field operations.

Keywords

References

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