MapReduce based preprocessing on vibration data of wind turbine
Jiming Yang, Zhiguang Zhen
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.76How to use a DOI?
- pretreatment;cloud computing; parallel filtering; MapReduce;
- 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.
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 -