CAJ | 학술논문

针对电厂汽轮机的滑动轴承碰摩故障,提出了一种有效的故障诊断方法.该方法首先采用声发射传感器来采集轴承的声发射信号,然后通过小波降噪的方法对所提取的信号进行去噪处理,再对处理后的声发射信号进行频谱分析,从而判断轴承的碰摩情况.通过在300MW汽轮机转子模拟试验台上实施碰摩试验并进行分析研究,结果表明：运用上述方法能够准确地预测汽轮机的转子碰摩故障,了解碰摩的严重程度,实现对汽轮机的在线监测,大大提高了机组安全性.
침대전엄기륜궤적활동축승팽마고장,제출료일충유효적고장진단방법.해방법수선채용성발사전감기래채집축승적성발사신호,연후통과소파강조적방법대소제취적신호진행거조처리,재대처리후적성발사신호진행빈보분석,종이판단축승적팽마정황.통과재300MW기륜궤전자모의시험태상실시팽마시험병진행분석연구,결과표명：운용상술방법능구준학지예측기륜궤적전자팽마고장,료해팽마적엄중정도,실현대기륜궤적재선감측,대대제고료궤조안전성.
To solve the problems of rubbing faults existing in sliding bearings of steam turbine, an effective diagnosis method is being proposed. The specific way is to denoise the acoustic emission（AE） signals pre viously acquired by AE detector from the bearings, then to analyze the processed AE signals using spec trum method, and finally to estimate the actual rubbing details. An experimental study has been carried out on the test rig of a 300 MW steam turbine rotor. Results show that via above method, rubbing faults of turbine rotor can be accurately predicted, based on which on-line monitoring of steam turbine is achieved while the security of the unit guaranteed.