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Research on Load Spectrum Reconstruction Method of Exhaust System Mounting Bracket of a Hybrid Tractor Based on MOPSO-Wavelet Decomposition Technique

Author

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  • Liming Sun

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
    State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang 471039, China
    First Tractor Co., Ltd., Luoyang 471039, China)

  • Mengnan Liu

    (State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang 471039, China
    First Tractor Co., Ltd., Luoyang 471039, China)

  • Zhipeng Wang

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
    State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang 471039, China
    First Tractor Co., Ltd., Luoyang 471039, China)

  • Chuqiao Wang

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Fuqiang Luo

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

To overcome the limitations of the hybrid tractor bumping tests, which include extended cycle times, high costs, and impracticality for single-part reliability verification, this study focuses on the exhaust system mounting bracket of a hybrid tractor. A novel approach that combines multi-objective particle swarm optimization (MOPSO) and wavelet decomposition algorithms was employed to enhance the reconstruction of shock vibration signals. This approach aims to enable the efficient acquisition of input signals for subsequent shaker table testing. The methodology involves a systematic evaluation of the spectral correlation between the original signal and the reconstructed signal at the stent’s response position, along with signal compression time. These parameters collectively constitute the objective function. The multi-objective particle swarm optimization algorithm is then deployed to explore a range of crucial parameters, including wavelet basic functions, the number of wavelet decomposition layers, and the selection of wavelet components. This exhaustive exploration identifies an optimized signal reconstruction method that accurately represents shock vibration loads. Upon rigorous screening based on our defined objectives, the optimal solution vector was determined, which includes the utilization of the dB10 wavelet basic function, employing a 12-layer wavelet decomposition, and selecting wavelet components a12 and d3~d11. This specific configuration enables the retention of 95% of the damage coefficients while significantly compressing the test time to just 46% of the original signal duration. The implications of our findings are substantial as the reconstructed signal obtained through our optimized approach can be readily applied to shaker excitation. This innovation results in a notable reduction in test cycle time and associated costs, making it particularly valuable for engineering applications, especially in tractor design and testing.

Suggested Citation

  • Liming Sun & Mengnan Liu & Zhipeng Wang & Chuqiao Wang & Fuqiang Luo, 2023. "Research on Load Spectrum Reconstruction Method of Exhaust System Mounting Bracket of a Hybrid Tractor Based on MOPSO-Wavelet Decomposition Technique," Agriculture, MDPI, vol. 13(10), pages 1-18, September.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:1919-:d:1251497
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    References listed on IDEAS

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    1. Zhen Zhu & Lingxin Zeng & Long Chen & Rong Zou & Yingfeng Cai, 2022. "Fuzzy Adaptive Energy Management Strategy for a Hybrid Agricultural Tractor Equipped with HMCVT," Agriculture, MDPI, vol. 12(12), pages 1-21, November.
    2. Meng Yang & Xiaoxu Sun & Xiaoting Deng & Zhixiong Lu & Tao Wang, 2023. "Extrapolation of Tractor Traction Resistance Load Spectrum and Compilation of Loading Spectrum Based on Optimal Threshold Selection Using a Genetic Algorithm," Agriculture, MDPI, vol. 13(6), pages 1-20, May.
    3. Dong Dai & Du Chen & Shumao Wang & Song Li & Xu Mao & Bin Zhang & Zhenyu Wang & Zheng Ma, 2023. "Compilation and Extrapolation of Load Spectrum of Tractor Ground Vibration Load Based on CEEMDAN-POT Model," Agriculture, MDPI, vol. 13(1), pages 1-20, January.
    4. Yu Wang & Ling Wang & Jianhua Zong & Dongxiao Lv & Shumao Wang, 2021. "Research on Loading Method of Tractor PTO Based on Dynamic Load Spectrum," Agriculture, MDPI, vol. 11(10), pages 1-14, October.
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    Cited by:

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    2. Yuanyuan Gao & Yifei Yang & Yongyue Hu & Xing Han & Kangyao Feng & Peiying Li & Xinhua Wei & Changyuan Zhai, 2024. "Study on Operating Vibration Characteristics of Different No-Tillage Planter Row Units in Wheat Stubble Fields," Agriculture, MDPI, vol. 14(11), pages 1-18, October.

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