@article{Cawley:2018:10.1177/1475921717750047,
author = {Cawley, P},
doi = {10.1177/1475921717750047},
journal = {Structural Health Monitoring},
pages = {1225--1244},
title = {Structural health monitoring: closing the gap between research andindustrial deployment},
url = {http://dx.doi.org/10.1177/1475921717750047},
volume = {17},
year = {2018}
}

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TY  - JOUR
AB  - There has been a large volume of research on structural health monitoring since the 1970s but this research effort has yielded relatively few routine industrial applications. Structural health monitoring can include applications on very different structures with very different requirements; this article splits the subject into four broad categories: rotating machine condition monitoring, global monitoring of large structures (structural identification), large area monitoring where the area covered is part of a larger structure, and local monitoring. The capabilities and potential applications of techniques in each category are discussed. Condition monitoring of rotating machine components is very different to the other categories since it is not strictly concerned with structural health. However, it is often linked with structural health monitoring and is a relatively mature field with many routine applications, so useful lessons can be read across to mainstream structural health monitoring where there are many fewer industrial applications. Reasons for the slow transfer from research to practical application of structural health monitoring include lack of attention to the business case for monitoring, insufficient attention to how the large data flows will be handled and the lack of performance validation on real structures in industrial environments. These issues are discussed and ways forward proposed; it is concluded that given better focused research and development considering the key factors identified here, structural health monitoring has the potential to follow the path of rotating machine condition monitoring and become a widely deployed technology.
AU  - Cawley,P
DO  - 10.1177/1475921717750047
EP  - 1244
PY  - 2018///
SN  - 1475-9217
SP  - 1225
TI  - Structural health monitoring: closing the gap between research andindustrial deployment
T2  - Structural Health Monitoring
UR  - http://dx.doi.org/10.1177/1475921717750047
UR  - http://hdl.handle.net/10044/1/54437
VL  - 17
ER  - 

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