Multiple fault diagnosis for a machine tool's flood coolant system using a neural network

Multiple fault diagnosis for a machine tool's flood coolant system using a neural network

This paper presents a method for diagnosing “multiple faults” and the levels of severity of the individual faults in the flood coolant system of a CNC vertical milling machine tool. The method employs a neural network to perform pattern recognition with “features” extracted from the transient respon...

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Veröffentlicht in:International journal of machine tools & manufacture 1996-11, Vol.36 (11), p.1247-1251
Hauptverfasser: Drake, Paul R., Pant, Difu
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Computer aided analysis
Cooling systems
Exact sciences and technology
Failure analysis
Industrial metrology. Testing
Mechanical engineering. Machine design
Neural networks
Pattern recognition
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Beschreibung
Zusammenfassung:This paper presents a method for diagnosing “multiple faults” and the levels of severity of the individual faults in the flood coolant system of a CNC vertical milling machine tool. The method employs a neural network to perform pattern recognition with “features” extracted from the transient response of the coolant pressure on shut-down.
ISSN:0890-6955
1879-2170
DOI:10.1016/0890-6955(95)00114-X