Computer-aided generation of monitoring strategy for complex machine tool monitoring systems

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The machine tool monitoring and diagnostic systems of the near future must incorporate - in a homogeneous, coherent manner - the monitoring functions at present fulfilled by different equipment; moreover, they must significantly surpass the performance of previous ones. The expectable complexity of these new systems involves significant problems in their application. The users must be equipped with computer aids to generate the most suitable monitoring algorithms and to describe these for the monitoring system. Therefore, after describing a multipurpose, multiprocessor-based machine tool monitoring system, three approaches for the computer-assisted generation of monitoring strategy and the programming of complex monitoring systems are outlined. Pattern-recognition-based learning, offline simulation of machining for monitoring purposes and a programming advisor expert system are illustrated.

Original languageEnglish
Pages (from-to)98-102
Number of pages5
JournalMeasurement: Journal of the International Measurement Confederation
Volume8
Issue number3
DOIs
Publication statusPublished - 1990

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machine tools
programming
Machine tools
expert systems
Monitoring
machining
pattern recognition
learning
simulation
Computer programming
Expert systems
Pattern recognition
Machining
Computer systems

Keywords

  • computer-aided monitoring strategy
  • Machine tool monitoring systems
  • off-line simulation
  • pattern recognition
  • system programming

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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abstract = "The machine tool monitoring and diagnostic systems of the near future must incorporate - in a homogeneous, coherent manner - the monitoring functions at present fulfilled by different equipment; moreover, they must significantly surpass the performance of previous ones. The expectable complexity of these new systems involves significant problems in their application. The users must be equipped with computer aids to generate the most suitable monitoring algorithms and to describe these for the monitoring system. Therefore, after describing a multipurpose, multiprocessor-based machine tool monitoring system, three approaches for the computer-assisted generation of monitoring strategy and the programming of complex monitoring systems are outlined. Pattern-recognition-based learning, offline simulation of machining for monitoring purposes and a programming advisor expert system are illustrated.",
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