WIT Press

Diagnosis Of Rotating Systems Using Artificial Neural Networks

Price

Free (open access)

Paper DOI

10.2495/AI960201

Volume

16

Pages

12

Published

1996

Size

59 kb

Author(s)

Vicente Lopes Jr & Antonio Eduardo Turra

Abstract

Vibration monitoring of components in manufacturing plants involves the collection of vibration data, and a detailed analysis of data. One of the most important characteristic of neural networks is their ability to model process and systems from actual data, and to respond in real time to the changes in the machine state. This paper discusses the use of neural network for fault classification in rotating systems using signal of vibration. 1 Introduction The analysis of vibration monitoring of components detects and reflects the main operational state of the machinery. Vibration in mechanical systems may provide several information about the various equipment of the manufacturing plants. There are good references in the l

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