Accelerated Bearing Life-time Test Rig Development for Low Speed Data Acquisition
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Hamid Reza Karimi | Kjell G. Robbersmyr | Andreas Klausen | Roy Werner Folgerà | H. Karimi | K. Robbersmyr | A. Klausen
[1] Joseph Mathew,et al. Rotating machinery prognostics. State of the art, challenges and opportunities , 2009 .
[2] Bin Zhang,et al. A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection , 2011, IEEE Transactions on Industrial Electronics.
[3] Robert B. Randall,et al. Vibration response of spalled rolling element bearings: Observations, simulations and signal processing techniques to track the spall size , 2011 .
[4] Jay Lee,et al. Novel method for rolling element bearing health assessment—A tachometer-less synchronously averaged envelope feature extraction technique , 2012 .
[5] Wahyu Caesarendra,et al. Condition monitoring of naturally damaged slow speed slewing bearing based on ensemble empirical mode decomposition , 2013 .
[6] R. Randall,et al. OPTIMISATION OF BEARING DIAGNOSTIC TECHNIQUES USING SIMULATED AND ACTUAL BEARING FAULT SIGNALS , 2000 .
[7] S.A.V. Satya Murty,et al. Roller element bearing fault diagnosis using singular spectrum analysis , 2013 .
[8] Robert B. Randall,et al. Rolling element bearing diagnostics—A tutorial , 2011 .
[9] Tian Ran Lin,et al. A practical signal processing approach for condition monitoring of low speed machinery using Peak-Hold-Down-Sample algorithm , 2012 .
[10] Yang Yu,et al. A fault diagnosis approach for roller bearings based on EMD method and AR model , 2006 .
[11] Hamid Reza Karimi,et al. Vibration analysis for bearing fault detection and classification using an intelligent filter , 2014 .
[12] Jan Lundberg,et al. Remaining useful life estimation: review , 2014, Int. J. Syst. Assur. Eng. Manag..
[13] M. Elforjani,et al. Accelerated natural fault diagnosis in slow speed bearings with Acoustic Emission , 2010 .
[14] Ying Peng,et al. Current status of machine prognostics in condition-based maintenance: a review , 2010 .
[15] Rajesh Kumar,et al. Outer race defect width measurement in taper roller bearing using discrete wavelet transform of vibration signal , 2013 .
[16] J. Antoni. Fast computation of the kurtogram for the detection of transient faults , 2007 .
[17] Gero Burghardt,et al. Multiscale characterization of White Etching Cracks (WEC) in a 100Cr6 bearing from a thrust bearing test rig , 2017 .
[18] Ruoyu Li,et al. Fault features extraction for bearing prognostics , 2012, J. Intell. Manuf..
[19] Kok-Meng Lee,et al. Soft-Switchable Dual-PI Controlled Axial Loading System for High-Speed EMU Axle-Box Bearing Test Rig , 2015, IEEE Transactions on Industrial Electronics.
[20] Jay Lee,et al. Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications , 2014 .
[21] Hai Qiu,et al. Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics , 2006 .
[22] Robert B. Randall,et al. Simulating gear and bearing interactions in the presence of faults. Part I. The combined gear bearing dynamic model and the simulation of localised bearing faults , 2008 .
[23] M. Zacksenhouse,et al. A blind deconvolution separation of multiple sources, with application to bearing diagnostics , 2005 .
[24] Makarand S. Kulkarni,et al. Bearing diagnosis using proximity probe and accelerometer , 2016 .
[25] Hamid Reza Karimi,et al. A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management , 2016 .
[26] Jianbo Yu,et al. Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models , 2011 .
[27] D Mba,et al. Condition monitoring of slow-speed rolling element bearings using stress waves , 2001 .
[28] Victor Songmene,et al. The use of acoustic emission information to distinguish between dry and lubricated rolling element bearings in low-speed rotating machines , 2013 .
[29] Brigitte Chebel-Morello,et al. Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals , 2015 .
[30] Robert B. Randall,et al. Unsupervised noise cancellation for vibration signals: part I—evaluation of adaptive algorithms , 2004 .