CAJ | 학술논문

针对往复压缩机气阀故障信号冲击性、非连续性特点，采用EMD方法分解提取各频率故障信号。然后通过对数据重新筛选、提出主要振动信息对分解波形进行了重构。并对往复压缩机故障信号分解及重构数据进行了分析，提取了故障信息。针对正常与故障信号分解结果复杂度不一致的特点，对EMD分解后包含的故障信息主要分量进一步通过样本熵进行量化识别。最后通过对正常、阀片缺口、弹簧失效的实测信号进行EMD分解、重构和样本熵分析，精确提取了故障信息，验证了方法的有效性。
침대왕복압축궤기벌고장신호충격성、비련속성특점，채용EMD방법분해제취각빈솔고장신호。연후통과대수거중신사선、제출주요진동신식대분해파형진행료중구。병대왕복압축궤고장신호분해급중구수거진행료분석，제취료고장신식。침대정상여고장신호분해결과복잡도불일치적특점，대EMD분해후포함적고장신식주요분량진일보통과양본적진행양화식별。최후통과대정상、벌편결구、탄황실효적실측신호진행EMD분해、중구화양본적분석，정학제취료고장신식，험증료방법적유효성。
Aiming at the characteristics of fault signals of for a reciprocating compressor valve:shock and disconti-nuity, the EMD method was taken to decompose and extract the fault signal of every frequency, which was recon-structed through screening the data and finding the main vibration information. The decomposition results and recon-struction data of the reciprocating compressor fault signals were analyzed, and the fault information was extracted. For the complexity of decomposition results of the normal and fault signal, the sample entropy( SampEn) method was used to quantitatively analyze the fault information of every main IMF. EMD combined with reconstruction, and SampEn methods were applied to analyze the vibration signals of three kinds of conditions:normal state, valve gap, and valve less spring. The practical application abstracted the fault information exactly and proved the feasibility of the proposed method.