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液压门式起重机受力及稳定性监测系统研究与应用

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提出了一种液压门式起重机受力及稳定性预测监测系统。根据实际参数建立了起重机结构起升单元有限元模型,分析起升单元在不同步状态下起重机相关结构的受力情况,使用有限元分析得出的数据训练BP神经网络预测模型,最终结合测量数据来快速获取任意状态下起重机相关结构的受力情况。通过实验验证了该系统的可行性,提高了液压门式起重机的安全监测能力。
Research and application of force and stability monitoring system of hydraulic gantry crane
A monitoring system for predicting the force and stability of a hydraulic gantry crane has been proposed.A finite ele-ment model of the crane structure lifting unit was established based on actual parameters to analyze the stress distribution of the crane's relevant structures under various operating conditions.The data obtained from the finite element analysis was used to train a BP neural network prediction model,which was then combined with measurement data to quickly assess the stress distribution of the crane's relevant structures in any given state.The feasibility of the system was verified through experiments,and the safety mo-nitoring capability of the hydraulic gantry crane was improved.

hydraulic gantry cranemonitoring systemfinite elementsneural networks

邓旭、张爱梅

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郑州大学机械与动力工程学院,郑州 450000

液压门式起重机 监测系统 有限元 神经网络

2024

现代制造工程
北京机械工程学会 北京市机械工业局技术开发研究所

现代制造工程

CSTPCD北大核心
影响因子:0.374
ISSN:1671-3133
年,卷(期):2024.(7)
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