【摘要】：針對滾動軸承故障識別困難這一問題,提出了基于改進型CEEMDAN和Teager能量算子(TKEO)的診斷方法。首先,將傳感器測得的故障振動信號采用CEEMDAN改進算法分解,得到多個固有模態(tài)函數(IMF),此過程可以削弱噪聲成分的干擾,增強故障特征;然后,計算最具相關性模態(tài)信號的Teager能量算子并進行包絡譜分析,通過譜中的頻率成分實現故障診斷。實驗結果表明,基于改進型CEEMDAN和Teager能量算子的診斷方法能夠有效提取軸承故障信號中的微弱特征信息,具有一定的工程實用價值。
[Abstract]:Aiming at the difficulty of fault identification of rolling bearing, a diagnosis method based on improved CEEMDAN and Teager energy operator (TKEO) is proposed. Firstly, the fault vibration signal measured by sensor is decomposed by CEEMDAN improved algorithm, and several inherent mode functions are obtained (IMF),. This process can weaken the interference of noise components and enhance the fault feature. The Teager energy operator of the most correlated modal signal is calculated and the envelope spectrum is analyzed. The fault diagnosis is realized by the frequency component of the spectrum. The experimental results show that the diagnosis method based on the improved CEEMDAN and Teager energy operator can effectively extract the weak characteristic information from the bearing fault signal and has certain engineering practical value.
【作者單位】： 南通航運職業(yè)技術學院;
【基金】：江蘇省高等職業(yè)院校國內高級訪問學者計劃項目(東南大學2015fx051)
【分類號】：TH133.33
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本文編號：2199160