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应用偏相干分析技术识别噪声源,是将一台机器或设备模拟成多输入、单输出系统,使用偏相干函数从总输出谱中分离出各声源的自功率谱,从而得到运行机器噪声源的重要信息,为降噪设计提供依据。本文介绍了在工业现场应用偏相分析技术进行的20万千瓦发电机组高压给水泵组的声源识别。测试分析结果表明,偏相干方法对识别互相间相干的噪声源是一种有效的方法,即使在电厂背景噪声较高的情况下也具有较强的功能和实用性。
The application of partial coherence analysis to identify noise sources is to simulate a machine or equipment into a multi-input and single-output system. The partial coherent function is used to separate the self-power spectrum of each sound source from the total output spectrum, Important information, provide the basis for noise reduction design. This paper introduces the sound source identification of 200 MW generator high pressure feed water pump group which is applied in the industrial field by partial phase analysis. The test and analysis results show that the method of partial coherence is an effective method to identify the coherent sources of noise and has strong function and practicability even in the case of high background noise of the power plant.