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Modelling total weighted vibration of a trailer seat pulled by a two-wheel tractor consumed diesel–biodiesel fuel blends using ANFIS methodology

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Abstract

The application of adaptive neural-fuzzy inference system (ANFIS) to predict the total weighted vibration acceleration of a trailer seat pulled by a two-wheel tractor is set out in the present paper. The vibration acceleration signals were obtained in a field experiment using a 9.5 kW two-wheel tractor. Three accelerometers were installed at three orthogonal directions according to ISO 2631-1 standard on the trailer seat for measuring and recording the vibration acceleration signals. The two-wheel tractor consumed diesel–biodiesel fuel blends, and the engine speed and gear ratio were varied to cover normal range of operation in transportation conditions on asphalt rural road. The digital recorded vibration acceleration signals in time domain were converted to the frequency domain using Fast Fourier Transform algorithm, and the one-third octave frequency bands were obtained. The one-third octave frequencies were weighted according to the ISO standard. Altogether, 100 patterns were generated for training and evaluation of ANFIS. The input parameters of ANFIS were the tractor engine speed, transmission gear ratio of the tractor and fuel blend type, and the output parameter was the trailer seat total weighted vibration acceleration. The ANFIS structure was designed based on the grid partition, fuzzy c-means clustering and subtractive clustering. The results revealed that the ANFIS with subtractive clustering method was the best for accurate prediction of the total weighted vibration acceleration of the trailer seat. The number of rules, root-mean-square error (RMSE) of train, RMSE of test, correlation coefficient (R) of train and R of test values for the optimized structure were 5, 0.1479, 0.2141, 0.9175 and 0.8804, respectively.

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References

  1. Najafi G, Ghobadian B, Yusaf TF (2011) Algae as a sustainable energy source for biofuel production in Iran: a case study. Renew Sustain Energy Rev 15:3870–3876

    Article  Google Scholar 

  2. Salokhe VM, Majumder B, Islam MS (1995) Vibration characteristics of a power tiller. J Terramechanics 32:181–196

    Article  Google Scholar 

  3. Hassan-Beygi SR, Ghobadian B (2005) Noise attenuation characteristics of different road surfaces during power tiller transport. Agric Eng Int CIGR J 7:1–12 (Manuscript PM 04 009)

    Google Scholar 

  4. Taghizadeh A (2005) Practical evaluation of vibration power tiller on user. MSc Thesis, Tarbiat Modares University, Tehran, Iran

  5. Taghizadeh A, Hashjin T, Ghobadian B, Nikbakht A (2007) Evaluation of vibration in power tiller on the asphalt surface, International Agricultural Engineering Conference (IAEC2007). Bangkok, Thailand

    Google Scholar 

  6. Dewangan KN, Tewari VK (2009) Characteristics of hand transmitted vibration of a hand tractor used in three operational modes. Int J Ind Ergon 39:239–245

    Article  Google Scholar 

  7. Sam B, Kathrivel K (2009) Development and evaluation of vibration isolators for reducing hand transmitted vibration of walking and riding type power tillers. Biosyst Eng 103:427–437

    Article  Google Scholar 

  8. Ahmadian H, Hassan-Beygi SR, Ghobadian B (2013) Power tiller vibration acceleration envelope curves on transportation mode. J Vibroengineering 15:1431–1441

    Google Scholar 

  9. Heidary B, Hassan-Beygi SR, Ghobadian B (2013) Investigating a power tiller vibration transmissibility using diesel-biodiesel fuel blends on stationary conditions. Tech J Eng Appl Sci 3:877–884

    Google Scholar 

  10. Heidary B, Hassan-Beygi SR, Ghobadian B (2013) Ergonomic characteristics and operator body fatigue against two-wheel tractor vibration. Int J Agric Crop Sci 5:370–376

    Google Scholar 

  11. Ahmadian H, Hassan-Beygi SR, Ghobadian B (2014) Investigating a power tiller handle and seat vibration on transportation mode. Agric Eng Int CIGR J 16:194–206

    Google Scholar 

  12. Heidary B, Hassan-Beygi SR, Ghobadian B (2014) Investigating operator vibration exposure time of 13 hp power tiller fuelled by diesel and biodiesel blends. Res Agric Eng 60:134–141

    Google Scholar 

  13. Taghavifar H, Mardani A (2014) Use of artificial neural networks for estimation of agricultural wheel traction force in soil bin. Neural Comput Appl 24:1249–1258

    Article  Google Scholar 

  14. Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  MATH  Google Scholar 

  15. Dubois D, Prade H (1980) Fuzzy sets and systems, theory and applications. Academic Press, New York

    MATH  Google Scholar 

  16. Passino KM (1993) Bridging the gap between conventional and intelligent control. IEEE Control Syst Mag 13:12–18

    Article  Google Scholar 

  17. Passino KM (1996) Towards bridging the perceived gap between conventional and intelligent control. IEEE Press, Piscataway

    Google Scholar 

  18. Zumberge J, Passino KM (1998) A case study in intelligent vs. conventional control for a process control experiment. Control Eng Pract 6:1055–1075

    Article  Google Scholar 

  19. Kuswadi S (2001) Review on intelligent control: its historical perspective and future development. IECI Jpn Ser 3:38–46

    Google Scholar 

  20. Jang JSR (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23:665–685

    Article  Google Scholar 

  21. Vieira J, Dias FM, Mota A (2004) Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study. Eng Appl Artif Intell 17:265–274

    Article  Google Scholar 

  22. Denai MA, Palis F, Zeghbib A (2007) Modelling and control of non-linear systems using soft computing techniques. Appl Soft Comput 7:728–738

    Article  Google Scholar 

  23. Banakar A, Fazle Azeem M (2011) Parameter identification of TSK neuro-fuzzy models. Fuzzy Sets Syst 179:62–82

    Article  MathSciNet  MATH  Google Scholar 

  24. ASTM D6751 (2009) Standard specification for biodiesel fuel blend stock (B100) for middle distillate fuels. ASTM International. Philadelphia, USA

  25. ISO 2631-1 (1997) Mechanical vibration and shock- evaluation of human exposure to whole-body vibration- Part 1: General requirements. International Standards Organization, Geneva, Switzerland

  26. Bezdec JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum Press, New York

    Book  Google Scholar 

  27. Chiu SL (1994) Fuzzy model identification based on cluster estimation. J Int Fuzzy Syst 2:267–278

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to express their appreciation to University of Tehran, Iran and Renewable Energy Research Institute authorities for their full support.

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Authors and Affiliations

  1. Department of Agro-Technology, College of Abouraihan, University of Tehran, Tehran, Iran

    Seyed Vahid Mirnezami & Seyed Reza Hassan-Beygi

  2. Department of Biosystems Engineering, Tarbiat Modares University, Tehran, Iran

    Ahmad Banakar & Barat Ghobadian

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  1. Seyed Vahid Mirnezami
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  2. Seyed Reza Hassan-Beygi
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  3. Ahmad Banakar
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  4. Barat Ghobadian
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Correspondence to Seyed Reza Hassan-Beygi.

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Mirnezami, S.V., Hassan-Beygi, S.R., Banakar, A. et al. Modelling total weighted vibration of a trailer seat pulled by a two-wheel tractor consumed diesel–biodiesel fuel blends using ANFIS methodology. Neural Comput & Applic 28 (Suppl 1), 1197–1206 (2017). https://doi.org/10.1007/s00521-016-2440-3

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  • DOI: https://doi.org/10.1007/s00521-016-2440-3

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