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基于神经网络的石油井架损伤定位识别 被引量:1

Identification of Damaged Location in the Derrick Structure Based on Neural Networks
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摘要 神经网络已越来越多地被应用于结构损伤识别方面的研究。通过对JJ160/41-K型井架不同工况下的数值模拟计算,结合BP神经网络进行损伤位置识别。通过研究分析,取得了满意的识别效果,验证了BP神经网络损伤识别方法对于石油井架损伤定位识别的可行性。 Artificial neural network(ANN) is being increasingly used in investigation of structural damage identification. The damaged location is identified through the analysis of numerical simulation of one JJ160/41-K type derrick in different situation and BP Network. It is shown that the result is satisfied, and it is verified that the method that BP Network can be used in the identification of damaged location in the derrick structure is effective.
出处 《石油矿场机械》 2008年第10期23-26,共4页 Oil Field Equipment
基金 黑龙江省自然科学基金资助项目(E200509)
关键词 频率 模态分量 石油井架 损伤识别 BP神经网络 frequency mode vector oil derrick damage detection BP network
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  • 5邹龙庆,付海龙,任国友.JJ160/41-K型井架有限元分析与承载能力研究[J].石油矿场机械,2004,33(6):33-35. 被引量:27

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