噪声与振动控制
譟聲與振動控製
조성여진동공제
NOISE AND VIBRATION CONTROL
2013年
5期
144-149
,共6页
振动与波%信号相关性%总体经验模态分解%Hilbert包络%滚动轴承%故障诊断
振動與波%信號相關性%總體經驗模態分解%Hilbert包絡%滾動軸承%故障診斷
진동여파%신호상관성%총체경험모태분해%Hilbert포락%곤동축승%고장진단
vibration and wave%signal correlation%ensemble empirical mode decomposition%Hilbert envelope%roller bearing%fault diagnosis
针对传统信号包络的带通滤波器的中心频率和带宽的选择不确定性和经验模式分解(EMD)在非线性非平稳信号处理中存在的模态混叠问题，提出了一种以信号的相关性为判据，获取总体经验模式分解（EEMD）的最佳IMF分量，并对其进行Hilbert包络解调获取故障特征频率，实现滚动轴承早期故障的诊断的新方法。实验分析结果表明：该方法能够准确地识别和诊断出滚动轴承的早期故障类型，适合滚动轴承早期故障的精确诊断，具有一定实用价值。
針對傳統信號包絡的帶通濾波器的中心頻率和帶寬的選擇不確定性和經驗模式分解(EMD)在非線性非平穩信號處理中存在的模態混疊問題，提齣瞭一種以信號的相關性為判據，穫取總體經驗模式分解（EEMD）的最佳IMF分量，併對其進行Hilbert包絡解調穫取故障特徵頻率，實現滾動軸承早期故障的診斷的新方法。實驗分析結果錶明：該方法能夠準確地識彆和診斷齣滾動軸承的早期故障類型，適閤滾動軸承早期故障的精確診斷，具有一定實用價值。
침대전통신호포락적대통려파기적중심빈솔화대관적선택불학정성화경험모식분해(EMD)재비선성비평은신호처리중존재적모태혼첩문제，제출료일충이신호적상관성위판거，획취총체경험모식분해（EEMD）적최가IMF분량，병대기진행Hilbert포락해조획취고장특정빈솔，실현곤동축승조기고장적진단적신방법。실험분석결과표명：해방법능구준학지식별화진단출곤동축승적조기고장류형，괄합곤동축승조기고장적정학진단，구유일정실용개치。
The uncertainty of the center frequency and band width of the band-pass filter in the traditional signal envelope, and the mode aliasing problem of the empirical mode decomposition (EMD) in processing of the nonlinear and non-stationary signal were studied. A new method for earlier fault diagnosis of roller bearings was put forward. In this method, the signal correlation was used as a criterion to get the optimal IMF component of the ensemble empirical mode decomposition (EEMD). Then, the Hilbert envelop demodulation was applied to the IMF component to derive the characteristic frequency of the fault. The experimental results show that the fault patterns of the roller bearing in the earlier stage can be identified accurately and effectively by this method. Therefore, this method can be applied to machinery-equipment fault-processing system.
