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Fault Diagnosis of Demountable Disk-Drum Aero-Engine Rotor Using Customized Multiwavelet Method

机译:定制多小波方法诊断可拆卸盘鼓式航空发动机转子故障

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摘要

The demountable disk-drum aero-engine rotor is an important piece of equipment that greatly impacts the safe operation of aircraft. However, assembly looseness or crack fault has led to several unscheduled breakdowns and serious accidents. Thus, condition monitoring and fault diagnosis technique are required for identifying abnormal conditions. Customized ensemble multiwavelet method for aero-engine rotor condition identification, using measured vibration data, is developed in this paper. First, customized multiwavelet basis function with strong adaptivity is constructed via symmetric multiwavelet lifting scheme. Then vibration signal is processed by customized ensemble multiwavelet transform. Next, normalized information entropy of multiwavelet decomposition coefficients is computed to directly reflect and evaluate the condition. The proposed approach is first applied to fault detection of an experimental aero-engine rotor. Finally, the proposed approach is used in an engineering application, where it successfully identified the crack fault of a demountable disk-drum aero-engine rotor. The results show that the proposed method possesses excellent performance in fault detection of aero-engine rotor. Moreover, the robustness of the multiwavelet method against noise is also tested and verified by simulation and field experiments.
机译:可拆卸的盘鼓式航空发动机转子是重要的设备,对飞机的安全运行有很大影响。但是,装配松动或裂纹故障导致了一些意外故障和严重事故。因此,需要状态监视和故障诊断技术来识别异常状态。本文利用测量的振动数据,开发了用于航空发动机转子状态识别的定制集成多小波方法。首先,通过对称多小波提升方案构造了具有较强适应性的定制多小波基函数。然后通过定制的集成多小波变换处理振动信号。接下来,计算多小波分解系数的归一化信息熵以直接反映和评估条件。所提出的方法首先应用于实验航空发动机转子的故障检测。最后,所提出的方法在工程应用中得到了应用,该方法成功地确定了可拆卸的盘鼓式航空发动机转子的裂纹故障。结果表明,该方法在航空发动机转子故障检测中具有优异的性能。此外,还通过仿真和现场实验测试和验证了多小波方法对噪声的鲁棒性。

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