On some critical machinery vibration monitoring algorithm and its application for incipient fault detection and localization

• Autorzy: Sokolova A. , Balitsky F.
• Języki publikacji: EN

Abstrakty

EN

Further development of proposed earlier [1] critical machinery vibration monitoring algorithm intended for faults early detection, unlike standard monitoring techniques, is propounded. The algorithm is founded on nondimensional S-discriminants, calculated from current amplitude-clipped vibration signal parameters referred to the ones for the machine being in good (normal) condition. These parameters have an inherent high sensibility to amplitude spikes magnitude and amount growth, which takes place at vibration signal under the machine degradation, due to suppressing intrinsic machine vibration hash. The paper shows that really effective high speed machinery condition monitoring technique based on using casing vibration data should mandatory take into account the acceleration parameters calculated both in wide and narrow frequency bands.

Słowa kluczowe

EN

vibration condition monitoring; non-dimensional discriminant; machine defect

PL

diagnostyka wibroakustyczna; błąd; wykrywanie; wada maszyn

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2008
• Tom: nr 3(47)
• Strony: 121--124
• Opis fizyczny: Bibliogr. 3 poz., rys.

Twórcy

autor

Sokolova A.

autor

Balitsky F.

• Machinery Engineering Research Institute, Russian Academy of Science 4, M. Kharitonievskiy, Moscow, 101990 Russia,

Bibliografia

• [1] Sokolova A. G., Balitsky F. Ja.: Sensitive and Noise-immune Vibration Discriminants for Instability Phenomena Detection caused by Incipient Machinery Deterioration, Proceedings from 1st International Symposium on Stability Control of Rotating Machinery “ISCORMA-1”, South Lake Tahoe, California, USA, 20-24 August 2001 (published in CD).
• [2] Sokolova A. G., Balitsky F. Ja., Pichugin K. A.: Dimensionless Machine Vibration Sdiscriminants as a Mean to Improve monitoring and Get Incipient Fault Detection, The 9th European Conference on Non-Destructive Testing (EC NDT), Conference Proceedings / Poster Presentation N 82, 8 pp, Berlin, September 25-29 2006.
• [3] Sokolova A. G., Balitsky F. Ja., Sizarev V. D.: Detection Technique for Faults Perturbing Rotor Stability, Illustrated by Means of an Example of the Movable Reflector-Modulator of the Pulsed Research Reactor. Proceedings of The Second International Symposium on Stability Control of Rotating Machinery-ISCORMA-2, pp 170-179, Gdansk, Poland, 4-8 August 2003.