Uncertainty-based combination of signal processing techniques for the identification of rotor imbalance

Measurement - Tập 114 - Trang 409-416 - 2018
Marco Tarabini1, Diego Scaccabarozzi1
1Politecnico di Milano, Dipartimento di Meccanica, Via Previati 1/C, 23900 Lecco, Italy

Tài liệu tham khảo

Hall, 1997, An introduction to multisensor data fusion, Proc. IEEE, 85, 6, 10.1109/5.554205 Waltz, 1990 Brooks, 1998 Tarabini, 2014, Unattended acoustic events classification at the vicinity of airports, Appl. Acoustics, 84, 91, 10.1016/j.apacoust.2014.03.013 D'Antona, 2010, A model predictive protection system for actuators placed in hostile environments, Instrum. Meas. Technol. Conf. (I2MTC), 2010 IEEE, 1602, 10.1109/IMTC.2010.5488111 Giberti, 2013, 5R 2dof parallel kinematic manipulator–a multidisciplinary test case in mechatronics, Mechatronics, 23, 949, 10.1016/j.mechatronics.2012.09.006 Niu, 2008, Decision-level fusion based on wavelet decomposition for induction motor fault diagnosis using transient current signal, Expert Syst. Appl., 35, 918, 10.1016/j.eswa.2007.08.024 Niu, 2007, Multi-agent decision fusion for motor fault diagnosis, Mech. Syst. Signal Process., 21, 1285, 10.1016/j.ymssp.2006.03.003 Bhattacharyya, 2007, Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques, Mech. Syst. Signal Process., 21, 2665, 10.1016/j.ymssp.2007.01.004 Khazaee, 2016, Fault detection of engine timing belt based on vibration signals using data-mining techniques and a novel data fusion procedure, Struct. Health Monit., 10.1177/1475921716652582 Yang, 2016, Vibration condition monitoring system for wind turbine bearings based on noise suppression with multi-point data fusion, Renew. Energy, 92, 104, 10.1016/j.renene.2016.01.099 Zhou, 2001, Active balancing and vibration control of rotating machinery: a survey, Shock Vib. Digest, 33, 361, 10.1177/058310240103300501 Foiles, 1998, Review: rotor balancing, Shock Vib., 5, 325, 10.1155/1998/648518 E.L. Thearle, Means for Dynamically Balancing, 1934. Saggin, 2012, Experimental characterization of vibration sources, Instrum. Meas. Technol. Conf. (I2MTC), 2012 IEEE Int., 2300, 10.1109/I2MTC.2012.6229508 M. Tarabini, A. Gironacci, R. Panzeri, D. Scaccabarozzi, Signal processing techniques for the identification of wheels’ imbalance in presence of disturbances, in: 9th International Conference on Rotor Dynamics - IFToMM ICORD 2014, Milano, 2014. Feldman, 2011, Hilbert transform in vibration analysis, Mech. Syst. Signal Process., 25, 735, 10.1016/j.ymssp.2010.07.018 Feldman, 2008, Theoretical analysis and comparison of the Hilbert transform decomposition methods, Mech. Syst. Signal Process., 22, 509, 10.1016/j.ymssp.2007.09.013 ISO GUIDE 98 part 3, Guide to Expression of Uncertainty in Measurements (GUM 1995), 2008. Taniguchi, 1997, Averaging regularized estimators, Neural Comput., 9, 1163, 10.1162/neco.1997.9.5.1163 Welch, 1967, The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms, IEEE Trans. Audio Electroacoust., 15, 70, 10.1109/TAU.1967.1161901 Bendat, 1990 Borghesani, 2014, The velocity synchronous discrete Fourier transform for order tracking in the field of rotating machinery, Mech. Syst. Signal Process., 44, 118, 10.1016/j.ymssp.2013.03.026