MapReduce based preprocessing on vibration data of wind turbine

DOI

10.2991/mce-14.2014.76How to use a DOI?

Keywords

pretreatment;cloud computing; parallel filtering; MapReduce;

Abstract

Analysis of the running state of the equipment is obtained from the vibration data acquisition of wind power plant ,which is very important to discover the critical wind turbine fault, and the driving end is one of the vibration data. The vibration data comes through multiple sensors by frequency 1.2KHz .Testing a 1~2 day will be more than GB of data. However, pretreatment with the traditional filtering method were used to be the single way of dealing, the efficiency is low, can not meet the actual demand. Cloud computing is a key technology to solve the above problem, which can be used for MapReduce model in large-scale data parallel operation. Based on the existing vibration data preprocessing method and MapReduce mechanism, realizes the parallel processing algorithm,consistency and also designed experiments to verify the validity of the method and the parallelresults on the platform of Hadoop.

Copyright

© 2014, 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  - Jiming Yang
AU  - Zhiguang Zhen
PY  - 2014/03
DA  - 2014/03
TI  - MapReduce based preprocessing on vibration data of wind turbine
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 343
EP  - 347
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.76
DO  - 10.2991/mce-14.2014.76
ID  - Yang2014/03
ER  -