Review

Giurgiutiu [1] has reviewed various aspects of signal processing, spectra collection, data processing and analysis, pattern recognition, and decision making for signal processing and damage identification/pattern recognition algorithms in structural health monitoring.
Verijenko and Verijenko [2] proposed a passive peak monitoring, cost effective structural health monitoring technique using strain memory alloys; which are ferrous alloys that display paramagnetism in the unstrained state, but transform proportionally to display varying degrees of ferromagnetism depending on the level of peak strain induced in the material. This effect is achieved using a transformation in crystal structure from a meta-stable austenitic structure to a stable strain-induced martensitic structure.
Chase [3] et al developed adaptive recursive least squares filtering techniques for structural health monitoring using measured or estimated structural responses by identifying changes in structural parameters, like comparing the damage stiffness matrix of a structure with the undamaged model matrix.
Park and Sohn [4] developed parameter estimation techniques to automatically estimate model parameters for health monitoring of structure as a statistical pattern recognition problem; where decision boundary for outlier is based on the generalized extreme value distribution.
Majumder et al [5] reviewed structural health monitoring using FBG sensors.
Yinghui and Michaels [6] presented a methodology for applying diffuse ultrasonic waves for structural health monitoring in the presence of unmeasured temperature changes; which offer the advantages of simplicity of signal generation and reception, sensitivity to damage, and large area coverage.
A fiber optic acoustic emission sensor based structural health monitoring technique is proposed by Fu et al [7] using fused-tapered coupler.
Baker et al [8] presented a simple strain-based structural health monitoring approach for monitoring the boron/epoxy patch repair of a critical fatigue crack in an F-111C wing.
Bernini et al [9] demonstrated the viability of fiber-optic frequency-domain Brillouin strain sensing for accurate high-resolution structural health monitoring; where high performances have been achieved by applying an iterative reconstruction algorithm considering the influence of the acoustic wave involved in Brillouin scattering.
Chan et al [10] developed the FBG sensors for structural health monitoring to investigate the feasibility via monitoring the strain of different parts of the Tsing Ma Bridge as well as validated the performance with the conventional wind and structural health monitoring system.
The extrinsic Fabry–Perot interferometer and fiber Bragg grating sensors have been real-time employed by Leng and Asundi [11] to simultaneously monitoring the cure process of CFRP composite laminates with and without damage.
Kister et al [12] presented optical fiber Bragg grating sensors based structural health monitoring of West Mill Bridge which is a glass and carbon fiber composite road bridge.
Brown and Adams [13] described the structural health monitoring for evolution of a reversible damage in a bolted fastener and show that the evolution of damage is sensitive to both temporal and spatial bifurcation parameters assuming the damage indicator behaves like a stable quasi-stationary equilibrium point in a subsidiary non-linear bifurcating system within the damage center manifold.
Koh and Dyke [14] used correlation-based damage detection methods for long-span, cable-stayed bridges based on the multiple damage location assurance criterion, which combines a correlation-based technique with a forward-type estimation of damage-sensitive structural parameters; where the locations of damage are determined by iteratively searching for the combination of structural parameters that maximizes the correlation coefficient through the application of genetic algorithms.

1. Signal Processing and Pattern Recognition for Pwas-based Structural Health Monitoring Structural Health Monitoring, 2008, Pages 589-656 Victor Giurgiutiu
2. The use of strain memory alloys in structural health monitoring systems Composite Structures, Volume 76, Issues 1-2, October 2006, Pages 190-196 B. Verijenko, V. Verijenko
3. Efficient structural health monitoring for a benchmark structure using adaptive RLS filters Computers & Structures, Volume 83, Issues 8-9, March 2005, Pages 639-647 J. Geoffrey Chase, Vincent Begoc, Luciana R. Barroso
4. Parameter estimation of the generalized extreme value distribution for structural health monitoring Probabilistic Engineering Mechanics, Volume 21, Issue 4, October 2006, Pages 366-376 Hyun Woo Park, Hoon Sohn
5. Fibre Bragg gratings in structural health monitoring—Present status and applicationsSensors and Actuators A: Physical, Volume 147, Issue 1, 15 September 2008, Pages 150-164Mousumi Majumder, Tarun Kumar Gangopadhyay, Ashim Kumar Chakraborty, Kamal Dasgupta, D.K. Bhattacharya
6. A methodology for structural health monitoring with diffuse ultrasonic waves in the presence of temperature variations Ultrasonics, Volume 43, Issue 9, October 2005, Pages 717-731Yinghui Lu, Jennifer E. Michaels
7. Fiber optic acoustic emission sensor and its applications in the structural health monitoring of CFRP materials Optics and Lasers in Engineering, In Press, Corrected Proof, Available online 14 July 2009 Tao Fu, Yanju Liu, Quanlong Li, Jinsong Leng
8. Towards a practical structural health monitoring technology for patched cracks in aircraft structure Composites Part A: Applied Science and Manufacturing, In Press, Corrected Proof, Available online 30 September 2008 Alan Baker, Nik Rajic, Claire Davis
9. Accurate high-resolution fiber-optic distributed strain measurements for structural health monitoring Sensors and Actuators A: Physical, Volume 134, Issue 2, 15 March 2007, Pages 389-395 Romeo Bernini, Aldo Minardo and, Luigi Zeni
10. Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge: Background and experimental observation Engineering Structures, Volume 28, Issue 5, April 2006, Pages 648-659 T.H.T. Chan, L. Yu, H.Y. Tam, Y.Q. Ni, S.Y. Liu, W.H. Chung, L.K. Cheng
11. Structural health monitoring of smart composite materials by using EFPI and FBG sensorsSensors and Actuators A: Physical, Volume 103, Issue 3, 15 February 2003, Pages 330-340Jinsong Leng, Anand Asundi
12. Structural health monitoring of a composite bridge using Bragg grating sensors. Part 1: Evaluation of adhesives and protection systems for the optical sensors Engineering Structures, Volume 29, Issue 3, March 2007, Pages 440-448 G. Kister, D. Winter, R.A. Badcock, Y.M. Gebremichael, W.J.O. Boyle, B.T. Meggitt, K.T.V. Grattan, G.F. Fernando
13. Equilibrium point damage prognosis models for structural health monitoring Journal of Sound and Vibration, Volume 262, Issue 3, 1 May 2003, Pages 591-611 Rebecca L. Brown, Douglas E. Adams
14. Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data Computers & Structures, Volume 85, Issues 3-4, February 2007, Pages 117-130 B.H. Koh, S.J. Dyke