Identification of the operational state of the rotor machine using vibration parameters monitoring

• Autorzy: Świeboda Bartosz , Hetmańczyk Mariusz Piotr
• Języki publikacji: EN

Abstrakty

EN

The article presents a method to identify the operational state of a rotating machine based on vibration symptoms. The tests were performed on the balancing and alignment laboratory stand. In the measurements, acceleration sensors and the IFM VSE100 diagnostic module were used. The measurements were made while maintaining the constant rotational speed of the motor shaft. The diagnosis was based on the vibration values measured from the bearing housings of the shaft (on which discs with the initial imbalance were placed).

Słowa kluczowe

EN

operational state; vibrations; rotating machine; diagnosis

PL

stan eksploatacyjny; wibracje; maszyna wirnikowa; diagnostyka

• Wydawca: Instytut Automatyzacji Procesów Technologicznych i Zintegrowanych Systemów Wytwarzania Politechniki Śląskiej
• Czasopismo: Selected Engineering Problems
• Rocznik: 2019
• Tom: nr 8
• Strony: 73--78
• Opis fizyczny: Bibliogr. 9 poz., rys., wykr.

Twórcy

autor

Świeboda Bartosz

• Department of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice

autor

Hetmańczyk Mariusz Piotr

• Department of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice

Bibliografia

• 1. Adams M.L.: Rotating Machinery Vibration: From Analysis to Troubleshooting (2nd Edition). New York: CRC Press, 2009.
• 2. Dutta N.K., De S.K.: Electric Machines and Electric Drives: Problems with Solutions. New Delhi: PHI Learning Pvt. Ltd., 2012.
• 3. Ehrich F.F. (ed.): Handbook of rotordynamics. Malabar: Kreiger, 2004.
• 4. Giri F. (ed.): AC Electric Motors Control: Advanced Design Techniques and Applications (1st Edition). Oxford: John Wiley & Sons, 2013.
• 5. Hetmańczyk M.: Applicability Analysis of Directed Graphs to Diagnosis and Prediction of States of Mechatronic Drives Using Minimal Set of Process Data. Gliwice: The Silesian University Publishing House, 2016.
• 6. Ibrahim M.A.: Disturbance Analysis for Power Systems. USA: John Wiley & Sons, 2011.
• 7. Krause P., Wasynczuk O., Sudhoff S., Pekarek S.: Analysis of Electric Machinery and Drive Systems (3rd Edition). New York: John Wiley & Sons, 2013.
• 8. Lees A.W.: Vibration Problems in Machines: Diagnosis and Resolution. New York: CRC Press, 2015.
• 9. Mohanty A.R.: Machinery Condition Monitoring: Principles and Practices. New York: CRC Press, 2014.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).