Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

MapReduce based preprocessing on vibration data of wind turbine

Authors
Jiming Yang, Zhiguang Zhen
Corresponding Author
Jiming Yang
Available Online March 2014.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.76How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 343
EP  - 347
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.76
DO  - https://doi.org/10.2991/mce-14.2014.76
ID  - Yang2014/03
ER  -