Statistical pattern recognition paradigm for vibration-based structural health monitoring.

Sohn, H. ; Farrar, C. R.

Technical Information Center Oak Ridge Tennessee

关键词: Monitoring;    Pattern recognition;    Mechanical structures;    Mechanical vibrations;    Statistics;   

RP-ID  :  DE2001785413

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports Library

【 摘 要 】

The process of implementing a damage detection strategy for aerospace, civil and mechanical engineering systems is often referred to as structural health monitoring. Vibration-based damage detection is a tool that is receiving cosiderable attention from the research community for such monitoring. In this paper, the structural health monitoring problem is cast in the context of a statistical pattern recognition paradigm. This pattern recognition process is composed of four portions; (1) operational evaluation, (2) data acquisition and cleansing, (3) feature selection and data comression, and (4) statistical model development. A general discussion of each portion of the process is presented, and the application of this statistical paradigm to two different real world structures, such as a bridge column and a surface-effect fast boat, is studied focusing on the issues of data normalization and feature extraction.