This paper deals with a new scheme for the diagnosis of localised defects in ball bearings based on the wavelet transform and neuro-fuzzy classification. Vibration signals for normal bearings, bearings with inner race faults and ball faults were acquired from a motor-driven experimental system. The
β¦ LIBER β¦
GEAR FAULT DIAGNOSIS BASED ON CONTINUOUS WAVELET TRANSFORM
β Scribed by H. ZHENG; Z. LI; X. CHEN
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 245 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0888-3270
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Bearing fault diagnosis based on wavelet
β
Xinsheng Lou; Kenneth A Loparo
π
Article
π
2004
π
Elsevier Science
π
English
β 941 KB
SINGULARITY ANALYSIS USING CONTINUOUS WA
β
Q. SUN; Y. TANG
π
Article
π
2002
π
Elsevier Science
π
English
β 562 KB
Continuous wavelet transform technique f
β
Jian-Da Wu; Jien-Chen Chen
π
Article
π
2006
π
Elsevier Science
π
English
β 980 KB
GEAR VIBRATION ANALYSIS BY B-SPLINE WAVE
β
S.T. Lin; P.D. McFadden
π
Article
π
1997
π
Elsevier Science
π
English
β 156 KB
The signature of the vibration generated by a fault on a gear is carried by the sidebands around the dominant tooth meshing harmonic. This paper applies the linear wavelet transform based on B-spline wavelets to reveal the spectrogram of the sidebands exactly. The proposed wavelet transform uses 1/a
Application of timeβfrequency entropy me
β
Dejie Yu; Yu Yang; Junsheng Cheng
π
Article
π
2007
π
Elsevier Science
π
English
β 375 KB
Fault diagnosis of rotating machinery ba
β
Javier Sanz; Ricardo Perera; Consuelo Huerta
π
Article
π
2007
π
Elsevier Science
π
English
β 478 KB