A fault monitoring architecture for the diagnosis of hardware and software faults in manufacturing systems

A classification is presented for faults and failures in manufacturing systems. The basis for classification is the apparent source of the fault or failure. This leads to the conclusion that a number of hardware failures in manufacturing systems may actually be caused by failures in the software. A...

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Bibliographic Details
Published in1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467) Vol. 1; pp. 693 - 701 vol.1
Main Author Stanton, M.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1999
Subjects
Actuators
Computer architecture
Condition monitoring
Control systems
Educational institutions
Fault detection
Fault diagnosis
Hardware
Manufacturing systems
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Summary:A classification is presented for faults and failures in manufacturing systems. The basis for classification is the apparent source of the fault or failure. This leads to the conclusion that a number of hardware failures in manufacturing systems may actually be caused by failures in the software. A method is then presented for the detection and diagnosis of faults that is based on a Petri net design approach. This method allows the distinction between a fault caused by a hardware failure and one caused by an error in the software.
ISBN:9780780356702
0780356705
DOI:10.1109/ETFA.1999.815421