Windowed interpolation Fast Fourier Transform in Rolling Bearings Application of Fault Diagnosis

  • Fei Li
Ariticle ID: 198
547 Views, 5 PDF Downloads
Keywords: Rolling Bearing, TeagerEnergy Operator, Minimum Entropy Deconvolution, fault diagnosis, Interpolation

Abstract

 In order to accurately identify the Fault Characteristic Frequency of rolling bearings, The Minimum Entropy Deconvolution andTeagerOn the basis of energy operator demodulation,HanningA New Fault Diagnosis Method for Rolling Bearings Based on window interpolation and fast Fourier transform. Firstly, the Minimum Entropy Deconvolution is used to denoise the bearing fault signal.TeagerAfter de-noising, the fault vibration signal is demodulated by energy operator.TeagerDemodulation spectrum; andHanningFinally, the amplitude of the three discrete spectrum near the signal frequency points is interpolated to get the accurate fault characteristic frequency. The analysis results of bearing vibration signals show thatTeagerCompared with the Energy Operator demodulation method

References

Zheng Creek Ding Kang jiang li flag.Hilbert transform Demodulation Analysis in so

Qin yi of soldiers Li Ning and.Improvement of iterative Hilbert Transform and rolling bearing fault diagnosis application [J].Vibration and impact,201332(11):83-88.

Deng four Wang Yong King hengdi.Based onIHTOf resonance Demodulation TechnologyRolling Bearing Fault Diagnosis Methods [J].Aviation power Journal,201227(1):69-74.

King Day Golden Feng zhipeng Hao ru jiang and.Based onTeagerEnergy Operator of Rolling Bearing Fault Diagnosis Research [J].Vibration and impact,201231(2):1-5. Wang TianjinFENG zhipengHAO rujiangEt al. Fault diagnosis. Rolling Element Bearings Based. Teager Energy Operator[J]. Journal. vibration, Shock201231(2):1-5.

Li Hui Zheng hai qi Yang shao pu.Based onEMDAndTeagerEnergy Operator of Bearing Fault Diagnosis Research [J].Vibration and impact,200827(10):15-17.

Zhao cui ying lai xin like and.Random resonance noise reduction under the gear Weak fault characteristics extraction [J]., China Mechanical Engineering,201425(4):539-546.

Yang Qing le may check the Xiao Jing and. TeagerEnergy Operator enhanced inverted order Times spectrum extraction bearing Weak fault characteristics [J].Vibration and impact,201534(6):1-5.

Endo H,Randall r B. Enhancement of more ⁃Great model based gear tooth Fault Detection Technique by the use of minimum entropy ⁃Tion Filter[J]. Mechanical Systems & Signal Process ⁃Ing,2007,21.:906-919.

Sawalhi n,Randall R B H,Endo h. The en ⁃Hancement of fault detection and diagnosis in Rolling Element Bearing Using ⁃Tion combined with spectral Kurtosis[J]. Mechanical Systems & Signal Processing,2007,21.:2616-2633.

Gong tingkai, Yuan Xiaohui, Wang Xiyang.Mathematical form of Minimum Entropy Deconvolution Application of Fault Feature Extraction of Rolling Bearing Based on State Method [J].China machinery engineering,2016,27(18):2467-2471.

Chen Hai weeks royal order soup bao ping and.Based on Minimum Entropy Deconvolution and TeagerEnergy Operator helicopter Rolling Bearing composite Fault Diagnosis Research [J].Vibration and impact,201736(9):45-50.

JAIN V KCollins w lDavis d c. High Accura⁃Cy Analog Measurements via interpolated FFT[J]. IEEE Transactions. Instrumentation & Measure⁃Government200728(2):113-122.

Belega DDallet D. Frequency estimation Via Weighted Multipoint interpolated DFT[J]. IET Sci. MEAs. Technol.20082(1):1-8.

Belega DDallet D. multifrequency Signal Anal⁃Ysis by interpolated DFT method. Maximum Side⁃Lobe Decay windows[J]. Measurement200942(3):420-426.

Wiggins r a. Minimum Entropy deconvolution[J].Geophysical prospecting. petrole198016(1):21-35.

King hong chao Chen Jin Dong Guangming.Based on Minimum Entropy Deconvolution and sparse Decomposition of Rolling Bearing Weak fault characteristics extraction [J].Mechanical engineering Journal,201349(1):88-94.

Kaiser j f. On a Simple Algorithm. Calculate.'Energy'. a Signal[C]/Proceedings IEEE Inter⁃National Conference. AcousticsSpeechSignal Pro⁃Cessing. Albuquerque1990:381-384.

PotamianosMaragos p. A comparison. Energy Operator, Hilbert Transform Approach⁃Es. Signal

Section
Articles