Idle noise diagnosis algorithm of air-conditioning refrigeration compressor based on wavelet packet extraction

被引：0
作者：
Long E.-S. [1 ]
Ban G.-Z. [1 ]
机构：
[1] College of Architecture and Environment, Sichuan University, Chengdu
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2023年 / 53卷 / 07期
关键词：
air conditioning refrigeration compressor; feature extraction; idle noise; support vector machine; wavelet envelope;
D O I：
10.13229/j.cnki.jdxbgxb.20220213
中图分类号：
学科分类号：
摘要：
When the vehicle is idling，the large noise of the air conditioning refrigeration compressor is the low-frequency abnormal noise of the compressor. The idle noise of air conditioning refrigeration compressor has randomness and uncertainty，so its diagnosis is difficult. In order to find the compressor abnormality in time and provide a more comfortable driving and riding environment，the idle noise diagnosis algorithm of air conditioning refrigeration compressor based on wavelet packet extraction is studied. The characteristics of idle noise signal of air-conditioning refrigeration compressor are extracted by wavelet packet，and then the characteristics of idle noise signal of air-conditioning refrigeration compressor are classified by support vector machine （SVM）. According to the classification results of noise signal characteristics，the diagnosis of idle speed noise of air conditioning refrigeration compressor is realized. The experimental results show that the idle noise amplitude of air conditioning refrigeration compressor obtained by the proposed method is closer to the actual idle noise amplitude，and the area of ROC curve is large，which shows that the research algorithm has ideal accuracy for the diagnosis result of compressor idle noise. © 2023 Editorial Board of Jilin University. All rights reserved.
引用
收藏
页码：1929 / 1934
页数：5
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