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通过声品质评价方法分析了噪声异常转子压缩机试验样机,并计算出A声级、响度、粗糙度和尖锐度作为声品质的客观评价指标,结果表明与正常压缩机相比,该噪声异常压缩机具有较差的声品质。声阵列技术能够精确定位复杂形状的目标声源,与传统采用声级计测试相比,能够获得更加丰富的声场信息。为了诊断出压缩机的异常噪声,通过声阵列技术在全频段对该异常压缩机进行了声源识别定位分析,找到了影响压缩机噪声的关键频率点及相应的噪声源,从而为压缩机噪声的改善提供了有力证据。
The sound quality evaluation method was used to analyze the noise prototype rotor compressor prototype, and the A sound level, loudness, roughness and sharpness were calculated as objective evaluation indexes. The results show that compared with the normal compressor, Machine has poor sound quality. Acoustic array technology can accurately locate the target sound source with complex shapes, and can obtain richer sound field information than traditional sound level meter testing. In order to diagnose the abnormal noise of the compressor, the acoustic source localization analysis of the abnormal compressor was carried out in the whole frequency band by acoustic array technology. The key frequency point and the corresponding noise source that affected the compressor noise were found, The improvement provided strong evidence.