本文采用滑移网格技术，使用基于求解RANS方程的CFD数值模拟技术，模拟螺旋桨在不同进速下的推力系数、转矩系数，以及螺旋桨表面压力分布。获取均匀流场中螺旋桨在不同故障工况下侧向力和监测点的脉动压力波形图，并对脉动压力波形图进行快速傅里叶（FFT）变换，获得脉动压力频谱图，分析螺旋桨在正常工作状态和桨叶折断故障状态的频谱图和时域图，提取时域波形、特征频率、伴随频率和侧向力系数等特征参量，实现对螺旋桨桨叶折断的故障监测与诊断。
This paper adopts the slip mesh technology, using the CFD numerical simulation technology based on the RANS equation, the thrust coefficient simulation of different velocity of propeller, torque coefficient and pressure distribution on the propeller surface, obtain the lateral force and the pulsating pressure waveform of the monitoring point of the propeller under different fault conditions under uniform flow field, and the pulsating pressure waveform is subjected to Fast Fourier Transform (FFT) to obtain a pulsating pressure spectrum, analyze the spectrogram and time domain diagram of the propeller in the normal working state and the blade breakage fault state, The characteristic parameters such as time domain waveform, characteristic frequency, accompanying frequency and lateral force coefficient are extracted to realize the fault monitoring and diagnosis of propeller blade breakage.
2020,42(7): 74-78 收稿日期：2019-05-20
DOI：10.3404/j.issn.1672-7649.2020.07.016
分类号：U664.33
作者简介：胡光忠(1994-),男,硕士研究生,研究方向为船舶推进轴系状态监测和故障诊断
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