FAILURE PREDICTION THROUGH THE THEORY OF STOCHASTIC EXCURSION OF EXTREME VIBRATION AMPLITUDE

This paper attempts to propose a prediction on the failure of machinery resulting from high vibration amplitudes. Since the monitored record is generally in the form of a randomly fluctuating signal, the principles of stochastic excursions are employed in the investigation. Considering the total record to be made up of piecewise stationary signals with normal distributions, an initial estimation on the state of the machine is obtained by determining the first passage probability of the random excursion about a specified safe level. Further information on the incipient failure of the machine is obtained by evaluating the probability of durations of the excursion above the critical level. A possible maintenance program for vibrating machinery is proposed on the basis of two probabilities, and discussed using a particular industrial application.

• Corporate Authors:

  American Society of Mechanical Engineers

  Two Park Avenue
  New York, NY  United States  10016-5990
• Authors:
  • SANKAR, T S
  • Xistris, G D
• Publication Date: 0

Media Info

• Features: Figures; References;
• Pagination: p. 133-138
• Serial:
  • ASME Journal of Engineering for Industry
  • Volume: 94B
  • Issue Number: 1
  • Publisher: American Society of Mechanical Engineers

Subject/Index Terms

• TRT Terms: Statistical analysis; Vibration
• Old TRIS Terms: Vibration research; Videc project
• Subject Areas: Data and Information Technology; Marine Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 00032646
• Record Type: Publication
• Source Agency: United States Merchant Marine Academy
• Files: TRIS
• Created Date: Apr 21 1972 12:00AM