CIVILICA We Respect the Science
Publisher of Iranian Journals and Conference Proceedings
Paper
title

Genetic programming for prediction a power tiller vibration transmitted to driver during pulling a trailer at rural asphalt road

Credit to Download: 1 | Page Numbers 8 | Abstract Views: 1082
Year: 2012
COI code: ISAV02_135
Paper Language: English

How to Download This Paper

For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.

Authors Genetic programming for prediction a power tiller vibration transmitted to driver during pulling a trailer at rural asphalt road

  Rahman Abdolahzadeh - Dept. Agro-technology, College of Aouraihan, University of Tehran, 3391653755, Tehran
Seyed Reza Hassan-Beygi -
Hossein Ahmadian -
Mohammad Aboonajmi -

Abstract:

Power tillers are the main sources of power supply in small and medium size farms. These machines generate high levels of vibrations due to lack of suspension system. Harmful ma-chine vibration has been widely reported and has become a serious problem due to its nega-tive impacts to human health. A capability to predict the occurrence of machine vibration with an acceptable accuracy would, clearly, be beneficial to machinery manufacturers. The vibration acceleration signals were obtained in a field experiment using a 13-hp power tiller. Experiments were conducted at five levels of engine speed (1400, 1600, 1800, 2000 and 2200 rpm), four levels of transmission gear ratio (2 heavy, 2 light, 3 heavy and 3 light), four posi-tion of accelerometer (wrist, arm, chest and head) and in the lateral, longitudinal and vertical directions in transportation conditions for the asphalt rural road. In scope of this study, we have introduced a data driven evolutionary algorithm (i.e. Genetic Programming) for predict-ing the machine vibration values. A detailed analysis of the results, obtained from the GP models, shows that the vibration acceleration increases by an increasing in engine speed at all gear ratios and, it achieves the highest value at vertical direction in all tests. The allowable exposure time, also, was higher in heavy gear ratio and lower engine speed. The acceptable performance of the new GP model in present study, in terms of the statistical criteria, proves the accurate predicting capability of the new developed model for predicting the machine vi-bration values.

Keywords:

Genetic programming, power tiller, prediction, transportation mode

Perma Link

https://www.civilica.com/Paper-ISAV02-ISAV02_135.html
COI code: ISAV02_135

how to cite to this paper:

If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Abdolahzadeh, Rahman; Seyed Reza Hassan-Beygi; Hossein Ahmadian & Mohammad Aboonajmi, 2012, Genetic programming for prediction a power tiller vibration transmitted to driver during pulling a trailer at rural asphalt road, 2nd International Conference on Acoustics and Vibration, تهران, دانشگاه صنعتي شريف, https://www.civilica.com/Paper-ISAV02-ISAV02_135.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Abdolahzadeh, Rahman; Seyed Reza Hassan-Beygi; Hossein Ahmadian & Mohammad Aboonajmi, 2012)
Second and more: (Abdolahzadeh; Hassan-Beygi; Ahmadian & Aboonajmi, 2012)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)

Scientometrics

The University/Research Center Information:
Type: state university
Paper No.: 55358
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.

Research Info Management

Export Citation info of this paper to research management softwares

New Related Papers

Iran Scientific Advertisment Netword

Share this paper

WHAT IS COI?

COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.