Odszumianie danych rejestrowanych wielokanałowo z użyciem transformaty falkowej

[1]  I. Józefczyk,et al.  Transformacja falkowa w diagnostyce urządzeń mechanicznych , 2008 .

[2]  Jean-Michel Poggi,et al.  Multivariate denoising using wavelets and principal component analysis , 2006, Comput. Stat. Data Anal..

[3]  Robert B. Randall,et al.  Unsupervised noise cancellation for vibration signals: part I—evaluation of adaptive algorithms , 2004 .

[4]  Tomasz Barszcz.  Decomposition of Vibration Signals into Deterministic and Nondeterministic Components and its Capabilities of Fault Detection and Identification , 2009, Int. J. Appl. Math. Comput. Sci..

[5]  Ł. Jedliński,et al.  Optimum choice of signals' features used in toothed gears' diagnosis , 2010 .

[6]  Fulei Chu,et al.  Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography , 2004 .

[7]  Ł. Jedliński,et al.  Quality Evaluation Of The Bevel Gear Assembly Based On Analysis Of The Vibration Signal , 2010 .

[8]  R. Zimroz.  Zastosowanie analizy falkowej w diagnostyce uszkodzeń lokalnych układów napędowych maszyn górniczych , 2009 .

[9]  Jérôme Antoni,et al.  Cyclostationary modelling of rotating machine vibration signals , 2004 .

[10]  Jian-Da Wu,et al.  An automotive generator fault diagnosis system using discrete wavelet transform and artificial neural network , 2009, Expert Syst. Appl..

[11]  Emine Ayaz,et al.  Feature extraction related to bearing damage in electric motors by wavelet analysis , 2003, J. Frankl. Inst..

[12]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Süleyman Bilgin,et al.  Efficient solution for frequency band decomposition problem using wavelet packet in HRV , 2008, Digit. Signal Process..