基于BP神经网络的混流式水轮机裂纹声发射源定位方法

基金项目:

国家自然科学基金资助项目(50465002)；广西自然科学基金资助项目(桂科基0448014)

详细信息

Acoustic Emission Source Location for the Crack of Francis Turbine Runner Based on BP Neural Network

摘要: 提出使用基于BP神经网络的智能定位方法，用于混流式水轮机的裂纹声发射源定位。理论和实验证明，该方法较好地解决了声发射源定位问题，为进行混流式水轮机裂纹在线监测提供依据。
- 声发射检测 /
- 源定位 /
- 混流式水轮机转轮 /
- 裂纹 /
- 神经网络
Abstract: Intelligent location model based on BP neural network was proposed, which could serve in AE source location of the crack of francis turbine. Testing proved, theoretically and practically, that it could locate AE source efficiently, and could be used for the online monitoring crack of francis turbine runner.
- Acoustic emission testing /
- Source location /
- Francis turbine runner /
- Crack /
- Neural networks

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