다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
Mechanical systems and signal processing, v.80, 2016년, pp.335 - 348
Firla, M. , Li, Z.Y. , Martin, N. , Pachaud, C. , Barszcz, T.
AI-Helper
This paper proposes advanced signal-processing techniques to improve condition monitoring of operating machines. The proposed methods use the results of a blind spectrum interpretation that includes harmonic and sideband series detection. The first contribution of this study is an algorithm for auto...
Renew. Energy Garcia Marquez 46 169 2012 10.1016/j.renene.2012.03.003 Condition monitoring of wind turbines
Renew. Sustain. Energy Rev. Liu 44 466 2015 10.1016/j.rser.2014.12.005 The structure healthy condition monitoring and fault diagnosis methods in wind turbines
10.1109/ICCIC.2013.6724183 K.K. Agrawal, P.G.N. Pandey, K. Chandrasekaran, Analysis of the condition based monitoring system for heavy industrial machineries, in: 2013 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), http://dx.doi.org/10.1109/ICCIC.2013.6724183.
Measurement Egusquiza 67 151 2015 10.1016/j.measurement.2015.01.004 Condition monitoring of pump-turbines. New challenges
Mech. Syst. Signal Process. Banjevic 20 7 1483 2006 10.1016/j.ymssp.2005.09.012 A review on machinery diagnostics and prognostics implementing condition-based maintenance
Mech. Syst. Signal Process. Bartelmus 23 1 246 2009 10.1016/j.ymssp.2008.03.016 Vibration condition monitoring of planetary gearbox under varying external load
10.1109/ELEKTRO.2012.6225632 R.F. Mesquita Brandao, J.A. Beleza Carvalho, F.P. MacIel Barbosa, Forecast of faults in a wind turbine gearbox, in: Proceedings of 9th International Conference, ELEKTRO 2012, 2012, pp. 170-173. http://dx.doi.org/10.1109/ELEKTRO.2012.6225632.
Mech. Syst. Signal Process. Yang 38 1 103 2013 10.1016/j.ymssp.2012.03.002 An online technique for condition monitoring the induction generators used in wind and marine turbines
10.1109/WCCIT.2013.6618706 P. Tchakoua, R. Wamkeue, T.A. Tameghe, G. Ekemb, A review of concepts and methods for wind turbines condition monitoring, in: 2013 World Congress on Computer and Information Technology (WCCIT), vol. 2, no. 1, 2013, pp. 1-9, http://dx.doi.org/10.1109/WCCIT.2013.6618706, 〈http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6618706〉.
Diagnostyka Barszcz 14 3 53 2013 Novel intuitive hierarchical structure for condition monitoring system of wind turbines
IET Renew. Power Gener. Tavner 8 4 380 2014 10.1049/iet-rpg.2013.0177 Side-band algorithm for automatic wind turbine gearbox fault detection and diagnosis
J. Vib. Acoust. Stress Reliab. Des. McFadden 108 165 1986 10.1115/1.3269317 Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration
R.B. Randall, Developments in digital analysis techniques for diagnostics of bearings and gears, in: Fifth International Congress on Sound and Vibration, Adelaide, South Australia, 1997, 〈http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:DEVELOPMENTS+IN+DIGITAL+ANALYSIS+TECHNIQUES+FOR+DIAGNOSTICS+OF+BEARINGS+AND+GEARS#0〉.
IEEE Trans. Ind. Electron. Mohanty 53 4 1285 2006 10.1109/TIE.2006.878303 Fault detection in a multistage gearbox by demodulation of motor current waveform
Mech. Syst. Signal Process. Combet 25 3 839 2011 10.1016/j.ymssp.2010.07.008 Novel adaptation of the demodulation technology for gear damage detection to variable amplitudes of mesh harmonics
Diagnostyka Barszcz 2 54 2008 2010 Selected methods of finding optimal center frequency for amplitude demodulation of vibration signals
Mech. Syst. Signal Process. Borghesani 38 1 23 2013 10.1016/j.ymssp.2012.09.014 A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions
N. Martin, C. Mailhes, A non-stationary index resulting from time and frequency domains, in: Sixth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2009 and MFPT 2009, Dublin, Ireland, 2009, 〈http://hal.univ-grenoble-alpes.fr/hal-00381420/〉.
C. Mailhes, N. Martin, K. Sahli, G. Lejeune, A spectral identity card, in: EUropean SIgnal Processing Conference, EUSIPCO 06, Florence, Italy, 2006, 〈http://hal.archives-ouvertes.fr/hal-00263811/en/〉.
C. Mailhes, N. Martin, K. Sahli, G. Lejeune, Condition monitoring using automatic spectral analysis, in: Special session on ‘Condition Monitoring of Machinery’, Third European Workshop on Structural Health Monitoring, Structural Health Monitoring 2006, Granada, Spain, 2006, pp. 1316-1323, 〈http://atlas-conferences.com/cgi-bin/abstract/casc-52〉.
T. Gerber, N. Martin, C. Mailhes, Identification of harmonics and sidebands in a finite set of spectral components, in: Tenth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies. CM 2013 and MFPT 2013, Krakow, Poland, 2013, 〈http://hal.inria.fr/docs/00/84/78/92/PDF/CM_Harmoniques_V8.pdf〉.
J. Vib. Control Dong 17 12 1805 2010 10.1177/1077546310362860 Study on cyclic energy indicator for degradation assessment of rolling element bearings
Randall 2011 Vibration-Based Condition Monitoring
Mech. Syst. Signal Process. Randall 25 2 485 2011 10.1016/j.ymssp.2010.07.017 Rolling element bearing diagnostics-a tutorial
Mech. Syst. Signal Process. Fyfe 11 2 187 1997 10.1006/mssp.1996.0056 Analysis of computed order tracking
10.1007/978-3-319-20463-5_10 M. Firla, Z.-Y. Li, N. Martin, T. Barszcz, Automatic and full-band demodulation for fault detection - validation on a wind turbine test rig, in: 4th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO’2014), France, Lyon, 2014.
Mech. Syst. Signal Process. Barszcz 25 1 431 2011 10.1016/j.ymssp.2010.05.018 A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram
Mech. Syst. Signal Process. Obuchowski 48 1-2 138 2014 10.1016/j.ymssp.2014.03.011 Selection of informative frequency band in local damage detection in rotating machinery
C. Pachaud, T. Gerber, M. Firla, N. Martin, C. Mailhes, Consequences of non-respect of the Bedrosian theorem when demodulating, in: Tenth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2013 and MFPT 2013, Krakow, Poland, 2013.
IEEE Trans. Acoust. Speech Signal Process. Meyer 24 1 55 1976 10.1109/TASSP.1976.1162760 Design and implementation of multirate digital filters
10.1109/JRPROC.1922.219793 J. Carson, Notes on the theory of modulation, Proc. IRE 10 (1) (1922) 57-64.
E. Bechhoefer, M. Kingsley, A review of time synchronous average algorithms, in: Annual Conference of the Prognostics and Health Management Society, 2009, pp. 1-10, 〈http://72.27.231.73/sites/phmsociety.org/files/phm_submission/2009/phmc_09_5.pdf〉.
Mech. Syst. Signal Process. McFadden 1 1 83 1987 10.1016/0888-3270(87)90085-9 A revised model for the extraction of periodic waveforms by time domain averaging
Mech. Syst. Signal Process. Ho 14 5 763 2000 10.1006/mssp.2000.1304 Optimisation of bearing diagnostic techniques using simulated and actual bearing fault signals
Boashash 2003 Time-Frequency Signal Analysis and Processing - A Comprehensive Reference
IEEE Trans. Ind. Electron. Gerber 62 10 6616 2015 10.1109/TIE.2015.2458781 Time-frequency tracking of spectral structures estimated by a data-driven method
Mech. Syst. Signal Process. Bartelmus 38 1 1 2013 10.1016/j.ymssp.2013.04.003 Editorial statement
Mech. Syst. Signal Process. Zimroz 46 1 16 2014 10.1016/j.ymssp.2013.09.010 Diagnostics of bearings in presence of strong operating conditions non-stationarity - a procedure of load-dependent features processing with application to wind turbine bearings
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
저자가 공개 리포지터리에 출판본, post-print, 또는 pre-print를 셀프 아카이빙 하여 자유로운 이용이 가능한 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.