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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