Fault Diagnosis on Hermetic Compressors Based on Sound Measurements

Author

Toprak, Suha ; Iftar, Altug

Author_Institution

TEI-TUSAS Engine Ind. Inc., Eskisehir

fYear

2007

fDate

1-3 Oct. 2007

Firstpage

783

Lastpage

788

Abstract

A fault identification study is made to identify five common faults in hermetic compressors manufactured in a large plant. Sound power level is used as raw data. Sound measurements were made in a room where microphones were located at different places of a virtual hemi-sphere, designed according to international standards. Obtained data is analyzed using the artificial neural networks method, where the multilayer perceptron model is used. Two different analysis approaches are carried out. In the first approach, only the summary data that emanated from the information coming from all microphones are used. In the second approach, all data coming from all microphones are used. The results indicate that the first approach is partially successful and the second is successful.

Keywords

acoustic variables control; acoustic variables measurement; compressors; fault diagnosis; microphones; multilayer perceptrons; neural nets; artificial neural networks method; fault diagnosis; fault identification study; hermetic compressors; microphones; multilayer perceptron model; sound measurements; sound power level; Acoustic testing; Compressors; Control systems; Data analysis; Fault diagnosis; Manufacturing; Measurement standards; Microphones; Multilayer perceptrons; Refrigeration;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2007. CCA 2007. IEEE International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-0442-1

Electronic_ISBN

978-1-4244-0443-8

Type

conf

DOI

10.1109/CCA.2007.4389328

Filename

4389328