Parametric time-frequency map and its processing for local damage detection in rotating machinery

被引:8
作者
Makowski, Ryszard [2 ]
Zimroz, Radoslaw [1 ]
机构
[1] Wroclaw Univ Technol, Diagnost & Vibroacoust Lab, PL-50370 Wroclaw, Poland
[2] Wroclaw Univ Technol, Signal Theory Sect, PL-50370 Wroclaw, Poland
来源
SMART DIAGNOSTICS V | 2014年 / 588卷
关键词
vibration; local damage detection; signal processing; time-frequency representation; parametric spectrogram; EMPIRICAL MODE DECOMPOSITION; VIBRATION SIGNALS; FAULT-DETECTION;
D O I
10.4028/www.scientific.net/KEM.588.214
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The detection of local damage in rotating machinery (gears, bearings) via vibration signal analysis is one of the most powerful techniques in condition monitoring. However, in some cases, especially in heavy industrial machinery, it is difficult to detect damage because of the poor signal-to-noise ratio of the measured vibration. Therefore it is necessary to use unconventional advanced techniques to enhance the signal. In this paper, a novel approach based on parametric time-frequency analysis and further processing for: i) time-varying spectral content modelling, ii) the identification of informative frequency bands by statistical analysis, iii) local damage detection and iv) cycle identification via cepstral analysis, is presented. The proposed procedure is validated using real vibration data from bearings and gearboxes. It is worth noting that this methodology can be also successfully used in time-varying speed conditions (with limited fluctuation).
引用
收藏
页码:214 / +
页数:4
相关论文
共 28 条
[1]  
[Anonymous], B K TECH B
[2]  
[Anonymous], IEEE SP 13 WORKSH ST
[3]   Cyclostationarity by examples [J].
Antoni, Jerome .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (04) :987-1036
[4]   A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram [J].
Barszcz, Tomasz ;
Jablonski, Adam .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (01) :431-451
[6]   Modelling of gearbox dynamics under time-varying nonstationary load for distributed fault detection and diagnosis [J].
Bartelmus, Walter ;
Chaari, Fakher ;
Zimroz, Radoslaw ;
Haddar, Mohamed .
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS, 2010, 29 (04) :637-646
[7]   An algorithm to diagnose ball bearing faults in servomotors running arbitrary motion profiles [J].
Cocconcelli, Marco ;
Bassi, Luca ;
Secchi, Cristian ;
Fantuzzi, Cesare ;
Rubini, Riccardo .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 27 :667-682
[8]   Optimal filtering of gear signals for early damage detection based on the spectral kurtosis [J].
Combet, F. ;
Gelman, L. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (03) :652-668
[9]  
Dybala J, 2012, CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS, P257
[10]   Empirical mode decomposition as a filter bank [J].
Flandrin, P ;
Rilling, G ;
Gonçalvés, P .
IEEE SIGNAL PROCESSING LETTERS, 2004, 11 (02) :112-114