This introduction begins with a brief history of SHM technology development. Recent research has begun to recognise that a productive approach to the Structural Health Monitoring (SHM) problem is to regard it as one of statistical pattern recognition (SPR); a paradigm addressing the problem in such a way is described in detail herein as it forms the basis for the organisation of this book. In the process of providing the historical overview and summarising the SPR paradigm, the subsequent chapters in this book are cited in an effort to show how they fit into this overview of SHM. In the conclusions are stated a number of technical challenges that the authors believe must be addressed if SHM is to gain wider acceptance.

An introduction to structural health monitoring

Staff members at Los Alamos National Laboratory (LANL) produced a summary of the structural health monitoring literature in 1995. This presentation will summarize the outcome of an updated review covering the years 1996 2001. The updated review follows the LANL statistical pattern recognition paradigm for SHM, which addresses four topics: 1. Operational Evaluation; 2. Data Acquisition and Cleansing; 3. Feature Extraction; and 4. Statistical Modeling for Feature Discrimination. The literature has been reviewed based on how a particular study addresses these four topics. A significant observation from this review is that although there are many more SHM studies being reported, the investigators, in general, have not yet fully embraced the well-developed tools from statistical pattern recognition. As such, the discrimination procedures employed are often lacking the appropriate rigor necessary for this technology to evolve beyond demonstration problems carried out in laboratory setting.

A review of structural health monitoring literature 1996-2001

Guided Lamb waves for identification of damage in composite structures: A review

Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography

This book focuses on structural health monitoring in the context of machine learning. The authors review the technical literature and include case studies. Chapters include: operational evaluation, sensing and data acquisition, introduction to probability and statistics, machine learning and statistical pattern recognition, and data prognosis.

Structural Health Monitoring: A Machine Learning Perspective

http://www.researchgate.net/profile/Sebastien_Grondel/publication/229888941_Structural_Health_Monitoring_Evaluation_Tests/links/0912f510bb4be1d023000000.pdf

Health Monitoring of Aerospace Structures

Encyclopedia of structural health monitoring

Structural health monitoring (SHM) has become increasingly important with regard to ageing aircraft, required enhanced performance and the need to reduce aircraft operational cost. Affordable advanced miniaturized sensors and continuous improvement in data processing technology combined with powerful software algorithms has allowed non-destructive testing (NDT) to become an integral part of structural materials and has thus given structures a self-sensing functionality. This paper describes where to integrate SHM into the aircraft design process and how to validate the established loads monitoring process in comparison to an emerging damage monitoring solution, before more precisely describing a technology selection regarding damage monitoring. Acousto-ultrasonics is a technique being especially emphasized. Results from laboratory experiments will be shown and commented and a perspective of future trends will be given.

Next generation structural health monitoring and its integration into aircraft design

The number of aircraft is increasing worldwide as well as their age. This has led to an increasing market of aging aircraft. The older an aircraft structure becomes, the more difficult it may be to predict under which conditions it will be flown and this especially when it is influenced by continuous upgrades in avionics, flight control systems or even engines, thus resulting in a possible change of flight envelopes. It is under these conditions that the aircraft structure needs increased care regarding monitoring and subsequent life management. This paper addresses the different means of how this can be done, starting with conventional inspection and gradually moving over to state-of-the-art loads and finally damage monitoring, where the latter is very much driven by ongoing smart materials and structures initiatives. Benefits either obtained or still to be expected from the different ways of monitoring are described.

http://iopscience.iop.org/article/10.1088/0964-1726/10/3/302/pdf

Ways and options for aircraft structural health management

An overview of the aircraft design and maintenance process is given with specific emphasis on the fatigue design as well as the phenomenon of the ageing aircraft observed over the life cycle. The different measures taken to guarantee structural integrity along the maintenance process are addressed. The impact of structural health monitoring as a means of possibly revolutionizing the current aircraft structural monitoring and design process is emphasized and comparison is made to jet engines and helicopters, where health monitoring has already found the respective breakthrough.

Christian Boller

Papers

Health Monitoring of Aerospace Structures

Encyclopedia of structural health monitoring

Next generation structural health monitoring and its integration into aircraft design

Ways and options for aircraft structural health management

Fatigue in aerostructures--where structural health monitoring can contribute to a complex subject.