Abstract
To effectively extract the characteristics of weak imbalance fault of aircraft hydraulic pump, autocorrelation function (AF) is combined with wavelet transform (AFWT) instead of threshold denoising. Meanwhile, power ratio (PR) was obtained by extracted characteristic frequency and applied to the identification of weak imbalance fault. A contrastive analysis was conducted among different signals, including acceleration and displacement signal. The results indicate that displacement signal, rather than acceleration signal, can effectively identify a weak imbalance fault.
Highlights
Vibration signal is playing an increasing important role in fault diagnosis and status monitoring of rotational machines [1]
According to the methods proposed in the paper, HES and power ratio both has outstanding performance in the position of rotation frequency, which can contribute to the identification and judgment of weak imbalance faults in aircraft hydraulic pump
autocorrelation function (AF) is combined with Wavelet transform (WT) to identify a weak imbalance fault in aircraft hydraulic pump based on vibration signal of casing
Summary
Vibration signal is playing an increasing important role in fault diagnosis and status monitoring of rotational machines [1]. As casing vibration signal is the comprehensive reflection of all parts, fault characteristics of casing vibration signal become very complicated due to distortion of signal, attenuation of energy and influence of noise All these have added to the difficulty of fault diagnosis [1]. The integral method is applied to convert the acceleration to velocity or displacement signal in engineering practice. FAULT DIAGNOSIS OF AERO-HYDRAULIC PUMP BASED ON CASING VIBRATION SIGNAL. The PR calculated by characteristic frequency is able to identify weak imbalance fault in a simpler and more visual manner
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