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利用涡轮泵振动信号的变换域信息可有效地检测与诊断故障。针对涡轮泵转子叶片断裂与脱落这种典型故障,首先分析其出现的原因,并从动力学的角度研究其振动特征,选择可有效反映该故障的特征频率。然而,涡轮泵转速波动会造成这些特征频率提取的困难,为此提出一种解决此难题的新思路,通过一系列变换域处理来消除转速波动对振动频率的影响,在变换域中提取出稳定的特征频率,从而解决了涡轮泵转速波动状态下该型故障诊断问题。通过涡轮泵历史试车故障数据的验证表明,通过跟踪变换域中这些特征频率的幅值变化,可以有效检测与诊断涡轮泵转子叶片断裂与脱落故障。
The use of turbo pump vibration signal transform domain information can effectively detect and diagnose faults. Aiming at the typical failure of rotor blade of turbo-pump rotor, the reason of its appearance is analyzed. The vibration characteristics of the turbo-pump rotor blade are studied from the viewpoint of dynamics, and the characteristic frequency which can effectively reflect the fault is selected. However, the turbo pump speed fluctuation will cause the difficulty of extracting these characteristic frequencies. Therefore, a new idea to solve this problem is proposed. Through a series of transform domain processing, the influence of rotational speed fluctuation on the vibration frequency is eliminated, and the stability is extracted in the transform domain Of the characteristic frequency, thus solving the turbo pump speed fluctuation state of this type of fault diagnosis. The verification of fault data through turbo-pump historical test shows that by tracking the amplitude changes of these characteristic frequencies in the transform domain, fault diagnosis and diagnosis of turbo-pump rotor blade rupture and falling can be effectively detected.