A pattern recognition based vibration monitoring module for machine tools

P. Bartal, L. Monostori

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The unmanned operation of manufacturing cells and systems requires automated monitoring equipment, as a substitute for human beings in their supervisory capacity. Concentrating on the frequency domain analysis of measured signals, this paper presents a short summary of the available spectral and cepstral features applicable for describing the different states of the machine or the process to be monitored. Pattern recognition techniques are suggested for the classification phase of the monitoring process. Regarding the requirements of a vibration monitoring module, integrated into a complex, multipurpose machine tool monitoring system, a comparison is made between the different computational devices in performance, complexity and intelligence. The hardware and software architecture of the two-processor based module-incorporating a DSP and a 16 bit microprocessor in parallel architecture-is discussed.

Original languageEnglish
Pages (from-to)465-469
Number of pages5
JournalRobotics and Computer-Integrated Manufacturing
Volume4
Issue number3-4
DOIs
Publication statusPublished - 1988

Fingerprint

Machine Tool
Machine tools
Pattern Recognition
Pattern recognition
Vibration
Monitoring
Frequency Domain Analysis
Module
Process Monitoring
Hardware Architecture
Parallel Architectures
Microprocessor
Software Architecture
Substitute
Monitoring System
Frequency domain analysis
Cellular manufacturing
Parallel architectures
Manufacturing
Process monitoring

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

A pattern recognition based vibration monitoring module for machine tools. / Bartal, P.; Monostori, L.

In: Robotics and Computer-Integrated Manufacturing, Vol. 4, No. 3-4, 1988, p. 465-469.

Research output: Contribution to journalArticle

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