๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

An Evaluation of Engine Faults Diagnostics Using Artificial Neural Networks

โœ Scribed by Lu, P. J. (author);Zhang, M. C. (author);Hsu, T. C. (author);Zhang, J. (author)

Book ID
121649202
Publisher
The American Society of Mechanical Engineers
Year
2001
Tongue
English
Weight
402 KB
Volume
123
Category
Article
ISSN
0742-4795

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

ARTIFICIAL NEURAL NETWORK BASED FAULT DI
ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES
โœ B. SAMANTA; K.R. AL-BALUSHI ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 455 KB

A procedure is presented for fault diagnosis of rolling element bearings through artificial neural network (ANN). The characteristic features of time-domain vibration signals of the rotating machinery with normal and defective bearings have been used as inputs to the ANN consisting of input, hidden