Research of Electrical Equipment State Identification Based on K-means Clustering Algorithm
Liting Lei, Hui Xu, Rongrong Fan
Available Online August 2016.
- https://doi.org/10.2991/cset-16.2016.46How to use a DOI?
- Electrical equipment, on-line monitoring, current signal, clustering algorithm, state recognition
- For the current heavy manual monitoring work and frequent failure of electrical equipment, an online monitoring scheme for equipment state based on current sensor, WIFI communication module and embedded development board is designed. K-means clustering algorithm is used to analyze the current data set collected from different working status of the equipment, and the corresponding characteristic value is obtained. And then the automatic identification of the equipment working status is realized. The experimental results show that this method can quickly recognize the equipment operation status with high accuracy, and working stability.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Liting Lei AU - Hui Xu AU - Rongrong Fan PY - 2016/08 DA - 2016/08 TI - Research of Electrical Equipment State Identification Based on K-means Clustering Algorithm BT - 2016 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/cset-16.2016.46 DO - https://doi.org/10.2991/cset-16.2016.46 ID - Lei2016/08 ER -