基于小波包分解和C4.5决策树的多路阀阀芯卡死故障诊断方法

A Fault Diagnosis Method for Multi-Way Valve Spool Jamming Based on Wavelet Packet Decomposition and C4.5 Decision Tree

摘要: 本液压系统的恶劣环境会导致多路阀出现各种故障，其会对多路阀结构的完整性和安全性及生产进度产生不利影响，其中阀芯卡死是较为典型的一种故障。然而，在保证系统完整性的前提下，准确判断多路阀卡死的位置是一个具有挑战性的问题。为了解决这一问题，本研究提出了一种创新性的方法，其将小波包分解与C4.5决策树相结合，称之为WPD-C4.5-DT方法。在多路阀实验平台上，进行了11个不同位置的阀芯卡死实验，并使用获得的11组数据对提出的方法进行了验证。实验结果表明，该方法在阀芯卡死位置的预测方面取得了出色的表现，高于本文所述其他方法，准确率高达97.50%。

Abstract: The harsh environment of the hydraulic system will lead to various faults of the multi-way valve, which will adversely affect the integrity and safety of the multi-way valve structure and the production schedule, among which the spool jamming is a typical fault. However, it is a challenging problem to accurately determine the position of the multi-way valve without sacrificing the integrity of the system. In order to solve this problem, this study proposes an innovative method that combines wavelet packet decomposition with a post-pruning C4.5 decision tree, which is called the WPD-C4.5-DT method. On the multi-way valve experimental platform, 11 spool jamming experiments at different positions were carried out, and the proposed method was verified by using 11 sets of data obtained. The experimental results show that the proposed method achieves excellent performance in predicting the stuck position of the spool, which is higher than the other methods described in this paper, and the accuracy is as high as 97.50%.