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Unformatted text preview: doi: 10.1098/rsta.2006.1928 , 303-315 365 2007 Phil. Trans. R. Soc. A Charles R Farrar and Keith Worden An introduction to structural health monitoring References html#ref-list-1 http://rsta.royalsocietypublishing.org/content/365/1851/303.full. This article cites 17 articles Rapid response 1851/303 http://rsta.royalsocietypublishing.org/letters/submit/roypta;365/ Respond to this article Email alerting service here in the box at the top right-hand corner of the article or click Receive free email alerts when new articles cite this article - sign up http://rsta.royalsocietypublishing.org/subscriptions go to: Phil. Trans. R. Soc. A To subscribe to This journal is 2007 The Royal Society on January 24, 2010 rsta.royalsocietypublishing.org Downloaded from An introduction to structural health monitoring B Y C HARLES R. F ARRAR 1 AND K EITH W ORDEN 2, * 1 Engineering Science and Applications Division, Los Alamos National Laboratory Los Alamos, Los Alamos, NM 87545, USA 2 Department of Mechanical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK The process of implementing a damage identification strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring (SHM). Here, damage is defined as changes to the material and/or geometric properties of these systems, including changes to the boundary conditions and system connectivity, which adversely affect the systems performance. A wide variety of highly effective local non-destructive evaluation tools are available for such monitoring. However, the majority of SHM research conducted over the last 30 years has attempted to identify damage in structures on a more global basis. The past 10 years have seen a rapid increase in the amount of research related to SHM as quantified by the significant escalation in papers published on this subject. The increased interest in SHM and its associated potential for significant life-safety and economic benefits has motivated the need for this theme issue. This introduction begins with a brief history of SHM technology development. Recent research has begun to recognize that the SHM problem is fundamentally one of the statistical pattern recognition (SPR) and a paradigm to address such a problem is described in detail herein as it forms the basis for organization of this theme issue. In the process of providing the historical overview and summarizing the SPR paradigm, the subsequent articles in this theme issue are cited in an effort to show how they fit into this overview of SHM. In conclusion, technical challenges that must be addressed if SHM is to gain wider application are discussed in a general manner....
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