DocumentCode
1898413
Title
Discrimination of faulty compressors and healthy one using Kohonen Maps
Author
Germen, Emin ; Kaya, Atilla ; Ünlü, Ümit
Author_Institution
Elektrik ve Elektron. Muhendisligi Bolumu, Anadolu Univ., Eskişehir, Turkey
fYear
2011
fDate
20-22 April 2011
Firstpage
845
Lastpage
848
Abstract
Kohonen´s Self Organizing Map (SOM) is a very usable method for the classification problems. In this work SOM is used to classify the possible faults of Hermetic Compressors which are used in the refrigerators. In refrigerators the main cause of the annoying noise/sound is the compressor sound and different faults have different noise types. Classification of the types of the sounds produces valuable information both in the R/D phase and after the production chain. In order to make this classification, the sound pressure values of different compressors with definitive faults have been collected and the healthy one and the faulty compressors are identified using SOM.
Keywords
acoustic noise; acoustic signal processing; compressors; fault diagnosis; mechanical engineering computing; refrigerators; self-organising feature maps; signal classification; Hermetic Compressors; Kohonen self organizing map; R/D phase; classification problems; compressor sound; faulty compressors discrimination; hermetic compressors; production chain; refrigerators; sound classification; sound pressure values; Argon; Compressors; Conferences; Microwave integrated circuits; Organizing; Refrigerators; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location
Antalya
Print_ISBN
978-1-4577-0462-8
Electronic_ISBN
978-1-4577-0461-1
Type
conf
DOI
10.1109/SIU.2011.5929783
Filename
5929783
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