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Fuzzy transition probability: A new method for monitoring progressive faults. Part 2: Application examples

机译:模糊转移概率:一种监测渐进式故障的新方法。第2部分:应用示例

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摘要

This is the second part of our study on condition monitoring using fuzzy transition probability (FTP). In the first paper, the theory of FTP is presented. In this paper, in order to validate the theory, two practical examples are given. The first one is a material tensile strength test and the second one was tool condition monitoring in boring. The experiment results indicate that the new method is effective. It outperforms the popular artificial neural network method (feed-forward network with back propagation training) by as much as 9%.
机译:这是我们使用模糊转移概率(FTP)进行状态监控的研究的第二部分。在第一篇论文中,介绍了FTP的理论。为了验证该理论,本文给出了两个实际的例子。第一个是材料抗拉强度测试,第二个是镗孔中的工具状态监控。实验结果表明,该方法是有效的。它比流行的人工神经网络方法(带有反向传播训练的前馈网络)的性能高出9%。

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