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Fault diagnosis of 40TM liquid-gas hammer based on BP algorithm: Artificial Neural Network

机译:基于BP算法的40TM液化气锤故障诊断:人工神经网络

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摘要

The basic principle of Artificial Neural Networks and BP algorithm was introduced in this paper. The application of BP algorithm Artificial Neural Networks in fault diagnosis of 40TM liquid-gas hammer was studied. The superiority of BP algorithm Artificial Neural Networks in fault diagnosis was proved by the MATLAB simulation and the training. The causes of faults were determined by BP algorithm Artificial Neural Networks.
机译:介绍了人工神经网络的基本原理和BP算法。研究了BP算法人工神经网络在40TM液化气锤故障诊断中的应用。通过MATLAB仿真和训练证明了BP算法人工神经网络在故障诊断中的优越性。故障原因由BP算法人工神经网络确定。

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