NDLI: Model Based Shaft Crack Identification in Rotating Machinery

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Sudhakar, G. N. D. S. Sekhar, A. S.
Copyright Year	2010
Abstract	Modern rotating machinery is prone to fatigue cracks due to the severe working and continuously varying loading conditions. To avoid failure of the rotating systems due to these cracks, the system needs to be continuously monitored. The reliability of the machinery can be enhanced with the fault identification at the early stages of their occurrence. Model based methods are used for crack identification in rotating systems successfully. Model based methods are of different types. One of the methods, the equivalent loads minimization method is studied here. It has a limitation that the error in identified crack depth increases with decrease in number of measured vibrations. In the present work, the theoretical fault model loads used in least squares minimization algorithm are transformed using modal expansion to reduce error in the identified fault parameters. The crack is identified accurately even in the case of less number of measured vibrations. The method is applied for crack identification in a centrifugal pump rotor using transverse vibrations. The results presented are obtained purely from FEM simulations.
Sponsorship	International Gas Turbine Institute
Starting Page	473
Ending Page	480
Page Count	8
File Format	PDF
ISBN	9780791844014
DOI	10.1115/GT2010-23812
e-ISBN	9780791838723
Volume Number	Volume 6: Structures and Dynamics, Parts A and B
Conference Proceedings	ASME Turbo Expo 2010: Power for Land, Sea, and Air
Language	English
Publisher Date	2010-06-14
Publisher Place	Glasgow, UK
Access Restriction	Subscribed
Subject Keyword	Rotor Model based method Crack Machinery Rotors Fracture (materials)
Content Type	Text
Resource Type	Article

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Crack Position and Depth Identification in Rotating Shafts: Part 1— Theoretical Model

Identification of a Rotor Crack in a Gas Turbine Without Twice Per Revolution Symptoms

Crack Position and Depth Identification in Rotating Shafts: Part 2 — Experimental Results

Diagnozing and Prognozing Gas Turbine Rotor Shaft Faults Using “The MICE”

FEM Modelling and Experimental Verification of a Rotor System With a Open Crack

Using Torsional Vibration Spectra to Monitor Machinery Rotor Integrity

Crack Detection in Shafts of Rotating Machinery Using Active Sensing With an External Excitation on a Bearing

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Model Based Shaft Crack Identification in Rotating Machinery

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