Research of load spectrum of mechanical drive train by non-parametric statistical engineering extrapolation

DOI

10.2991/icmmcce-15.2015.120How to use a DOI?

Keywords

Engineering Machinery; Transmission; Load Spectrum; Rainflow Counting; Non-parametric Extrapolation; Kernel Function.

Abstract

This article elaborates the wheel loader transmission load spectrum during the preparation of the key issues - how to determine the shape of the kernel function, chosing three typical operating conditions to illustrate the non-parametric statistical extrapolation of this process. Before sample loading spectrum is pushed forward, of the signal de-noising of time-domain signal load testing should be completed. Thus, samples of the load cycle and the corresponding kernel function shape is obtained by using rain flow counting method, proposing rain flow matrix non-parametric statistical extrapolation lifetime load spectrum estimation. Because it can achieve a good estimate of the load cycle, it does not appear in the sample load cycle, but may be present in the life course of load. It can be easily seen that the extrapolation is valid and reliable.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming Ni
PY  - 2015/12
DA  - 2015/12
TI  - Research of load spectrum of mechanical drive train by non-parametric statistical engineering extrapolation
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 594
EP  - 598
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.120
DO  - 10.2991/icmmcce-15.2015.120
ID  - Ni2015/12
ER  -