Compilation and Extrapolation of Load Spectrum of Tractor Ground Vibration Load Based on CEEMDAN-POT Model

Dong Dai, Du Chen, Shumao Wang, Song Li, Xu Mao (), Bin Zhang, Zhenyu Wang and Zheng Ma
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Dong Dai: College of Engineering, China Agricultural University, Beijing 100083, China
Du Chen: College of Engineering, China Agricultural University, Beijing 100083, China
Shumao Wang: College of Engineering, China Agricultural University, Beijing 100083, China
Song Li: College of Engineering, China Agricultural University, Beijing 100083, China
Xu Mao: College of Engineering, China Agricultural University, Beijing 100083, China
Bin Zhang: College of Engineering, China Agricultural University, Beijing 100083, China
Zhenyu Wang: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Zheng Ma: Key Laboratory for Theory and Technology of Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China

Agriculture, 2023, vol. 13, issue 1, 1-20

Abstract: Effective indoor testing on a four-poster rig of agricultural machinery should mimic the real-world environment while the machinery is in farming and transportation. The emerging load spectrum extrapolation and compilation are capable of speeding up the use of the indoor vibration testing of tractors. However, most ground load spectrum studies consider a particular type of ground rather than all the rough farmland conditions that tractors experience daily. Such a problem inevitably raises doubts about validating the load spectrum-based fatigue durability and reliability testing of tractors. For a remedy, this article proposes a CEEMDAN-POT (Peak Over Threshold) model to comprehensively build a full life-cycle ground load spectrum of tractor vibration with six ground conditions and different field operations. The study acquires the real four vertical acceleration signals from the front and rear axles of the tractor to collect representative vibration load data. Furthermore, the study refines the measured load data by proposing a CEEMDAN-Wavelet threshold method, which is proved to be effective for the load signal decomposition and denoising. Lastly, the study presents a time domain extrapolation method, integrating the sample principle of the POT model, the proper parameter estimation with the Generalized Pareto Distribution (GPD) function, and the POT super-threshold model. The statistical analysis implies that the produced load spectrum fully preserves the statistical features observed in the original one. After extrapolation, the overall distribution of the rainflow matrix becomes more consistent while the mean and amplitude of the spectrum data increase. This study unifies a load spectrum of tractors operating and transporting on various farm ground conditions, providing the real load data of the indoor four-poster rig test.

Keywords: tractor vibration; ground load spectrum; CEEMDAN decomposition; wavelet threshold denoising; time-domain extrapolation; POT super-threshold model; data acquisition (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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