Classification of air conditioning vibration signals based on cluster analysis
ZHENG Wen-wei
WANG Yu-hua
LIU Zhi-ting
Abstract：In order to solve the problems existing in the detection of home appliance vibration, this paper takes the air conditioning machine as an example to extract the kurtosis index, mean square value index and correlation coefficient index of the vibration signal of the air conditioner under certain conditions as the eigenvalue of the cluster analysis. The K-means clustering analysis is used to cluster the signals and calculate the contour values of the clustering results. According to the calculated contour values, it can be seen that when the sample is divided into 10 classes, each observed contour value is greater than 0.18, indicating that it is appropriate to classify 40 samples into 10 categories.
Keywords：cluster analysisvibrationK-means clustering method
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 50-53 )