【摘要】：針對工程實(shí)際中狀態(tài)監(jiān)測下的具體機(jī)械部件在特定運(yùn)行環(huán)境中發(fā)生故障的原因及類型具有典型性,在分析快速譜峭圖算法的基礎(chǔ)上,提出了典型快速譜峭圖算法。該算法借鑒快速譜峭圖算法分層和選取中心頻率的思想,以典型故障的三倍特征頻率為帶寬,快速定位譜峭度最大的頻率區(qū)間,并將該算法應(yīng)用于共振解調(diào)技術(shù)濾波器參數(shù)的確定。為了驗(yàn)證該算法的有效性,在滾動(dòng)軸承故障診斷試驗(yàn)臺上進(jìn)行了振動(dòng)測試,采用基于典型快速譜峭圖算法的共振解調(diào)技術(shù)進(jìn)行故障診斷和類型識別。結(jié)果表明,基于典型快速譜峭圖算法的共振解調(diào)技術(shù)能夠較好的診斷典型故障,具有一定的工程應(yīng)用價(jià)值。
[Abstract]:In view of the typical causes and types of failure of mechanical components in a specific operating environment under state monitoring in engineering practice, a typical fast spectral kurtosis algorithm is proposed on the basis of analyzing the fast spectral kurtosis algorithm. The algorithm uses the idea of fast spectral kurtosis algorithm to layer and select center frequency, takes the characteristic frequency of three times of typical fault as the bandwidth, and quickly locates the frequency range with the largest spectral kurtosis. The algorithm is applied to the determination of filter parameters of resonance demodulation technique. In order to verify the validity of the algorithm, vibration test was carried out on the rolling bearing fault diagnosis test-bed, and the resonance demodulation technique based on the typical fast spectral kurtosis algorithm was used for fault diagnosis and type recognition. The results show that the resonance demodulation technique based on the typical fast spectral kurtosis algorithm can diagnose the typical faults well and has certain engineering application value.
【作者單位】： 石家莊鐵道大學(xué)信息科學(xué)與技術(shù)學(xué)院;石家莊鐵道大學(xué)機(jī)械工程學(xué)院;
【基金】：國家自然基金項(xiàng)目(11372197;11227201) 河北省自然基金項(xiàng)目(E2014210078)
【分類號】：TH17

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