轴承
軸承
축승
BEARING
2015年
4期
49-53
,共5页
柏会宁%马建仓%李军杰%王彤%秦涛
柏會寧%馬建倉%李軍傑%王彤%秦濤
백회저%마건창%리군걸%왕동%진도
滚动轴承%故障诊断%人耳听觉特性%自适应频带调整%倒谱系数%支持向量机
滾動軸承%故障診斷%人耳聽覺特性%自適應頻帶調整%倒譜繫數%支持嚮量機
곤동축승%고장진단%인이은각특성%자괄응빈대조정%도보계수%지지향량궤
rolling bearing%fault diagnosis%human ear auditory characteristic%adaptive bandwidth adjustment%cepstrum coefficient%SVM
模拟人耳的听觉特性及机理，结合轴承故障信号特征，提出一种基于Fisher比率法的自适应非均匀频带分布的倒谱系数轴承故障特征提取算法，并根据提取的特征利用支持向量机模型进行故障识别，试验证明提出的故障特征提取算法具有较高的识别正确率，在低信噪比下仍然具有较好的识别效果。
模擬人耳的聽覺特性及機理，結閤軸承故障信號特徵，提齣一種基于Fisher比率法的自適應非均勻頻帶分佈的倒譜繫數軸承故障特徵提取算法，併根據提取的特徵利用支持嚮量機模型進行故障識彆，試驗證明提齣的故障特徵提取算法具有較高的識彆正確率，在低信譟比下仍然具有較好的識彆效果。
모의인이적은각특성급궤리，결합축승고장신호특정，제출일충기우Fisher비솔법적자괄응비균균빈대분포적도보계수축승고장특정제취산법，병근거제취적특정이용지지향량궤모형진행고장식별，시험증명제출적고장특정제취산법구유교고적식별정학솔，재저신조비하잉연구유교호적식별효과。
The auditory characteristics and mechanism of human ear is simulated,combining with characteristics of bearing fault signal,the extraction method for bearing fault characteristics cepstrum coefficient which is adaptive to non-uniform frequency distribution based on Fisher ratio method is put forward.The fault identification is carried out by using support vector machine model according to extracted features.The test show that the fault characteristics extrac-tion method has higher recognition correct rate,its recognition effect is still good under low signal-to-noise ratios.
