Application and Research of SVM in Coal Mine Fan Condition Monitoring
Guo Xiucai, Wang Kaixuan
Available Online June 2015.
- https://doi.org/10.2991/kam-15.2015.38How to use a DOI?
- coal mine; fan; support vector machine; state prediction.
- In order to real time control of coal mine fan equipment running status, A kind of mine fan state monitoring system based on ZigBee has been designed, Through collect and processing the fan operation parameters, such as temperature, vibration, realize the function that real-time monitoring the fan’s state. For mine fan condition monitoring in the process of the character of sample data is limited, support vector machine will be used to predict the trend of fan vibration signal, realize the prediction of running status of fan, provide a reference basis to Fan maintenance person. The experimental results show that support vector machine (SVM) model to predict the correctness and feasibility of fan vibration signal.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Guo Xiucai AU - Wang Kaixuan PY - 2015/06 DA - 2015/06 TI - Application and Research of SVM in Coal Mine Fan Condition Monitoring BT - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling PB - Atlantis Press SP - 136 EP - 139 SN - 1951-6851 UR - https://doi.org/10.2991/kam-15.2015.38 DO - https://doi.org/10.2991/kam-15.2015.38 ID - Xiucai2015/06 ER -