System instability and chaotic response are the failure modes that could significantly impact the reliability and operating safety of high-speed rotor-dynamical machines. Initiation and propagation of surface cracks in rotary shafts are common causes for such failure modes. To be able to detect the onset and progression of these faults will considerably extend the lifetime and improve the reliability of the mechanical system. A wavelet-based algorithm effective in identifying mechanical chaotic response has been applied to determine the nonlinear dynamical characteristics of a model-based, cracked rotor. This investigation confirms reported correlation of surface crack breathing with rotor chaotic motions. The effectiveness of the algorithm in detecting rotor-dynamic instability induced by mechanical faults as contrast to algorithms that are based on nonlinear dynamics is discussed. The results show not just the feasibility of the algorithm in mechanical fault diagnosis but also suggest its applicability to in-line, real-time condition monitoring at both the system and component levels.
Skip Nav Destination
e-mail: ssuh@mengr.tamu.edu
Article navigation
January 2002
Technical Papers
Characterization and Detection of Crack-induced Rotary Instability
B. Yang,
B. Yang
Mechanical Engineering Department, Texas A&M University, College Station, TX 77843-3123
Search for other works by this author on:
C. S. Suh,
e-mail: ssuh@mengr.tamu.edu
C. S. Suh
Mechanical Engineering Department, Texas A&M University, College Station, TX 77843-3123
Search for other works by this author on:
A. K. Chan
A. K. Chan
Electrical Engineering Department, Texas A&M University, College Station, TX 77843-3123
Search for other works by this author on:
B. Yang
Mechanical Engineering Department, Texas A&M University, College Station, TX 77843-3123
C. S. Suh
Mechanical Engineering Department, Texas A&M University, College Station, TX 77843-3123
e-mail: ssuh@mengr.tamu.edu
A. K. Chan
Electrical Engineering Department, Texas A&M University, College Station, TX 77843-3123
Contributed by the Technical Committee on Vibration and Sound for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received July 2000; Revised July 2001. Associate Editor: G. T. Flowers.
J. Vib. Acoust. Jan 2002, 124(1): 40-48 (9 pages)
Published Online: July 1, 2001
Article history
Received:
July 1, 2000
Revised:
July 1, 2001
Citation
Yang , B., Suh, C. S., and Chan, A. K. (July 1, 2001). " Characterization and Detection of Crack-induced Rotary Instability ." ASME. J. Vib. Acoust. January 2002; 124(1): 40–48. https://doi.org/10.1115/1.1421053
Download citation file:
Get Email Alerts
Boundary-Element Analysis of the Noise Scattering for Urban Aerial Mobility Vehicles: Solver Development and Assessment
J. Vib. Acoust (October 2024)
Related Articles
Detecting Shaft-to-Seal Rubbing in Power Generation Turbines With the Acoustic Emission Technology
J. Vib. Acoust (December,2006)
Experimental Study on the Nonlinear Vibrations and n × Amplitudes of a Rotor With a Transverse Crack
J. Vib. Acoust (August,2009)
Numerical Study of Some Nonlinear Dynamics of a Rotor Supported on a Three-Pad Tilting Pad Journal Bearing (TPJB)
J. Vib. Acoust (June,2005)
Automated Operating Mode Classification for Online Monitoring Systems
J. Vib. Acoust (August,2009)
Related Chapters
Trend and XY Plots
Fundamentals of Rotating Machinery Diagnostics
On-Line Cutting Tool Condition Monitoring in Turning Processes Using Artificial Intelligence and Vibration Signals
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Modes of Vibration
Fundamentals of Rotating Machinery Diagnostics