CAJ | 학술논문

提出了一种基于支持向量机的往复压缩机气阀故障诊断方法.把往复压缩机气阀的振动信号作为识别故障的特征向量,运用支持向量机方法,训练后得到用于往复压缩机气阀故障诊断的支持向量机网络.由对测试样本的分类结果可知,支持向量机网络的分类结果和实际故障情况一致.
제출료일충기우지지향량궤적왕복압축궤기벌고장진단방법.파왕복압축궤기벌적진동신호작위식별고장적특정향량,운용지지향량궤방법,훈련후득도용우왕복압축궤기벌고장진단적지지향량궤망락.유대측시양본적분류결과가지,지지향량궤망락적분류결과화실제고장정황일치.
This paper proposes a method for fault diagnosis on valve of reciprocating compressor based on SVM. According to the vibration signal features, A SVM recognition network of fault pattern of reciprocating compressor valve was presented by training. The test sample classification results show that the classification results by SVM coincide with actual fault.