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Fault detection and diagnosis in low speed rolling element bearings Part I: The use of parametric spectra

โœ Scribed by C.K. Mechefske; J. Mathew


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
509 KB
Volume
6
Category
Article
ISSN
0888-3270

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๐Ÿ“œ SIMILAR VOLUMES


Fault detection and diagnosis in low spe
โœ C.K. Mechefske; J. Mathew ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 516 KB

An effective procedure for the early detection and objective diagnosis of faults in rolling element bearings is described. The procedure involves the use of an inductive inference theory based classification program called 'Snob'. The program objectively divides frequency spectra into classes repres

Parametric spectral estimation to detect
โœ C.K. Mechefske; J. Mathew ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 655 KB

The monitoring of low speed bearings (~<100 rpm) is fraught with difficulties, not the least of which is the impracticality of recording sufficiently long periods of data for appropriate data analysis to be performed. Based on current fast Fourier transform (FFT) techniques, it would be normal to an