A fuzzy expert system, Bearing -Expert, has been developed. This expert system is PC-based. It is menu driven and it is very user-friendly. This expert system offers specific knowledge of various aspects about bearing monitoring, such as diagnostic methods, defect frequencies, feature selection, fuz
β¦ LIBER β¦
Diagnosis of roller bearing defects using neural networks
β Scribed by T. I. Liu; N. R. Iyer
- Publisher
- Springer
- Year
- 1993
- Tongue
- English
- Weight
- 469 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0268-3768
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
DETECTION OF ROLLER BEARING DEFECTS USIN
β
T.I. Liu; J.H. Singonahalli; N.R. Iyer
π
Article
π
1996
π
Elsevier Science
π
English
β 278 KB
Tuberculosis Disease Diagnosis Using Art
β
Orhan Er; Feyzullah Temurtas; A. Γetin TanrΔ±kulu
π
Article
π
2008
π
Springer US
π
English
β 111 KB
THIRD-ORDER SPECTRAL TECHNIQUES FOR THE
β
D.-M. YANG; A.F. STRONACH; P. MACCONNELL; J. PENMAN
π
Article
π
2002
π
Elsevier Science
π
English
β 677 KB
This paper addresses the development of a novel condition monitoring procedure for rolling element bearings which involves a combination of signal processing, signal analysis and artificial intelligence methods. Seven approaches based on power spectrum, bispectral and bicoherence vibration analyses
Prediction of pile bearing capacity usin
β
In-Mo Lee; Jeong-Hark Lee
π
Article
π
1996
π
Elsevier Science
π
English
β 694 KB
A hybrid fault diagnosis approach using
β
D. Yu; D. N. Shields; S. Daley
π
Article
π
1996
π
Springer-Verlag
π
English
β 418 KB
Fault diagnosis of a cstr using fuzzy ne
β
J Zhang; A.J Morris; G.A Montague
π
Article
π
1994
π
Elsevier Science
β 774 KB