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The Research on Life Prediction of the Hoist Shaft Based on BP Neural Network

机译:基于BP神经网络的提升机轴系寿命预测研究。

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To evaluate and forecast lifespan of hoist shaft by ANN (Artificial Neural Networks), an evaluation model based on forecast lifespan is set up. A new theme is proposed to forecast remaining life of hoist shaft in which the mutation in cross-section of the bending stress acts as an input unit and remaining life acts as the output unit on the different condition. In order to forecast remaining life, it is essential to construct 5-9-1 BP (Back Propagation) network models. By studying the specific instance to forecast remaining life of 2JK hoist shaft as well as examine the accuracy of life prediction model.
机译:为了通过ANN(人工神经网络)对提升井的使用寿命进行评估和预测,建立了基于预测寿命的评估模型。提出了一种新的主​​题来预测提升机轴的剩余寿命,其中在不同条件下,弯曲应力的横截面变化充当输入单位,而剩余寿命充当输出单位。为了预测剩余寿命,必须构建5-9-1 BP(反向传播)网络模型。通过研究具体实例来预测2JK提升机轴的剩余寿命以及检查寿命预测模型的准确性。

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