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Article
Joint Estimation of NDE Inspection Capability and Flawsize Distribution for in-service Aircraft Inspections
Statistics Preprints
  • Ming Li, Iowa State University
  • William Q Meeker, Iowa State University
  • Peter Hovey, University of Dayton
Publication Date
6-1-2011
Series Number
Preprint #10-08
Abstract

Nondestructive evaluation (NDE) is widely used in the aerospace industry during scheduled maintenance inspections to detect cracks or other anomalies in structural and rotating components. Life prediction and inspection interval decisions in aerospace applications require knowledge of the size distribution of unknown existing cracks and the probability of detecting a crack (POD), as a function of crack characteristics (e.g., crack length). The POD for a particular inspection method is usually estimated on the basis of laboratory experiments on a given specimen set. These experiments, however, cannot duplicate the conditions of in-service inspections. Quantifying the size distribution of unknown existing cracks is more difficult. If NDE signal strength is recorded at all inspections and if crack-length information is obtained after “crack find” inspections, it is possible to estimate the joint distribution of crack length, noise response and signal response. This joint distribution can then be used to estimate both the in service POD and the crack-length distribution at a given period of service time. In this paper, we present a statistical model and methodology to do this estimation.

Comments

This preprint was published as Ming Li, William Q. Meeker & Peter Hovey, " Joint Estimation of NDE Inspection Capability and Flaw-Size Distribution for In-Service Aircraft Inspections" Research in Nondestructive Evaluation" (2012): 104-123, doi: 10.1080/09349847.2011.654380.

Language
en
Citation Information
Ming Li, William Q Meeker and Peter Hovey. "Joint Estimation of NDE Inspection Capability and Flawsize Distribution for in-service Aircraft Inspections" (2011)
Available at: http://works.bepress.com/wqmeeker/111/