Application of a Neural Network to Condition Monitoring and Fault Diagnosis in an Pressure System

Fault diagnoses is carried out by means of neural networks, which obtain the diagnostic data from pressure and temperature sensors of the air pressure system. The condition monitor system acquires temperature and pressure distribution data during operating cycle of the air pressure compressor, and t...

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Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 27; no. 5; pp. 603 - 609
Main Authors Juuma, T., Parkkinen, R.
Format Journal Article
LanguageEnglish
Published 01.06.1994
Subjects
classification
failure detection
maintenance engineering
neural nets
pneumatic power system
classification
failure detection
neural nets
maintenance engineering
pneumatic power system
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Summary:Fault diagnoses is carried out by means of neural networks, which obtain the diagnostic data from pressure and temperature sensors of the air pressure system. The condition monitor system acquires temperature and pressure distribution data during operating cycle of the air pressure compressor, and the neural network indicates the situation in the compressor, cooling system and air pressure system. The test showed that the network functions well even when the sensor data are insufficient and ‘fuzzy’.
ISSN:1474-6670
DOI:10.1016/S1474-6670(17)48091-8