Failure mode analysis to define process monitoring systems

• Autorzy: McLeay T. , Turner M. S.
• Języki publikacji: EN

Abstrakty

EN

The high costs of using skilled operators in production processes has built a demand for reduced manning, 'lights out machining' manufacture. Process monitoring systems have become a widely researched area in recent years since there is a need for intelligent systems to replace the manual intervention in existing processes. Furthermore, using modern sensors and signal processing techniques, monitoring systems can obtain more informatio about a process and therefore reduce costs further though maximised life of cutting tools, optimised cutting parameters and reduced scrap or re-work. With many application areas available, such as tool condition monitoring, chatter avoidance or feedback control of cutting parameters, it is not always apparent what the key aspects required by an intelligent monitoring system are. In addition, different machining processes have different demands and limitations for monitoring. This paper considers an analytical approach to define the requirements of a monitoring system. A process failure mode effect analysis (FMEA) is carried out to determine the weaknesses of current production processes. From this analysis, the relationships between failures, causes and effects can be used to populate conditional relationships between process faults and sensor signal features in a monitoring system.

Słowa kluczowe

EN

fmea; process monitoring; Bayesian networks; PCA; sensor fusion; acoustic emission

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2011
• Tom: Vol. 11, No. 4
• Strony: 118--129
• Opis fizyczny: Bibliogr. 11 poz., tab., rys.

Twórcy

autor

McLeay T.

• Advanced Manufacturing Research Centre with Boeing, University of Sheffield, UK

autor

Turner M. S.

• Advanced Manufacturing Research Centre with Boeing, University of Sheffield, UK

Bibliografia

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