Vibration Characteristics of Reciprocating Air Compressors Used For Hyperbaric Purposes

• Autorzy: Marcin Kluczyk
• Języki publikacji: EN

Abstrakty

EN

The article presents problems related to the diagnostics of vibrations in reciprocating compressors driven by motors of less than 100 kW. None of the currently applicable norms concerning the issues of vibration diagnostics broach this subject, and therefore diagnosticians have no reference levels for measured vibration parameters. The present paper focuses on two types of compressors intended for diving purposes and hyperbaric techniques. The paper contains a suggested course of actions at the time of taking measurements. Further suggestions for developing coherent procedures as regards the diagnostics of reciprocating compressors of less than 100 kW have been indicated.

Słowa kluczowe

EN

Reciprocating compressors; vibration diagnostics

• Czasopismo: Polish Hyperbaric Research
• Rocznik: 2015
• Tom: 52
• Numer: 3
• Strony: 17-25

Daty

wydano

2015-09-01

otrzymano

2015-07-07

zaakceptowano

2015-08-11

online

2015-12-30

Twórcy

autor

Marcin Kluczyk

• Institute of Technical Operation of Ships, Polish Naval Academy in Gdynia, Poland

Bibliografia

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• 3. ISO 10816-6: Mechanical vibration-Evaluation of machine vibration by measurements on non-rotating parts- Part 6: Reciprocating machines with power ratings above 100 kW. First edition 1995-12-15;
• 4. Górski, Z., Perepeczko, A., Okrętowe maszyny i urządzenia pomocnicze, tom I [Ship machines and ancillary devices], Trademar, Gdynia 1997;
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• 6. M Ahmed, F Gu and A D Ball, Fault Detection of Reciprocating Compressors using a Model from Principles Component Analysis of Vibrations, Journal of Physics: Conference Series 364 (2012) 012133;
• 7. Defence Standard NO-20-A500-3, Technical requirements and the inspection of ship's devices and machinery Vibrations Measurements and criteria for evaluation;
• 8. Shelley D. Greenfield, Luis de la Roche, Introduction to Vibration & Pulsation in Reciprocating Compressors, Beta Machinery Analysis Ltd., Calgary, AB, Canada, T3C 0J7;
• 9. www.emerson.com;
• 10. www.bentlynevada.com;
• 11. www.coltrisub.it;
• 12. Yih-Hwang Lin a , Wen-Sheng Lee , Chung-Yung Wu, Automated Fault Classification of Reciprocating Compressors from Vibration Data: A Case Study on Optimization using Genetic Algorithm, Procedia Engineering 79 ( 2014 ) 355 - 361, 1877-7058.

Identyfikatory

DOI

10.1515/phr-2015-0013