A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures

In this work, a multi-level decision fusion strategy is proposed which weighs the Value of Information (VoI) against the intended functions of a Structural Health Monitoring (SHM) system. This paper presents a multi-level approach for three different maintenance strategies in which the performance of the SHM systems is evaluated against its intended functions. Level 1 diagnosis results in damage existence with minimum sensors covering a large area by finding the maximum energy difference for the guided waves propagating in pristine structure and the post-impact state; Level 2 diagnosis provides damage detection and approximate localization using an approach based on Electro-Mechanical Impedance (EMI) measures, while Level 3 characterizes damage (exact location and size) in addition to its detection by utilising a Weighted Energy Arrival Method (WEAM). The proposed multi-level strategy is verified and validated experimentally by detection of Barely Visible Impact Damage (BVID) on a curved composite fuselage panel.

[1]  Z. Sharif-Khodaei,et al.  Impact damage detection in composite plates using a self-diagnostic electro-mechanical impedance-based structural health monitoring system , 2015 .

[2]  Chee Kiong Soh,et al.  Application of Electromechanical Impedance Technique for Engineering Structures: Review and Future Issues: , 2010 .

[3]  Francesco Aymerich,et al.  Impact damage detection in laminated composites by non-linear vibro-acoustic wave modulations , 2014 .

[4]  Mazdak Ghajari,et al.  Compression After Multiple Impacts: Modelling and Experimental Validation on Composite Curved Stiffened Panels , 2016 .

[5]  Piet Christof Wölcken,et al.  Smart Intelligent Aircraft Structures (SARISTU) , 2016 .

[6]  Wieslaw Ostachowicz,et al.  Delamination detection in CFRP panels using EMI method with temperature compensation , 2016 .

[7]  M. Aliabadi,et al.  Assessment of delay-and-sum algorithms for damage detection in aluminium and composite plates , 2014 .

[8]  M. H. Aliabadi,et al.  A boundary element method for detection of damages and self-diagnosis of transducers using electro-mechanical impedance , 2015 .

[9]  Z. Sharif-Khodaei,et al.  Determination of impact location on composite stiffened panels , 2012 .

[10]  Christian Boller,et al.  Health Monitoring of Aerospace Structures , 2003 .

[11]  Yosuke Nagao,et al.  Damage monitoring of CFRP stiffened panels under compressive load using FBG sensors , 2012 .

[12]  Pratik Shrestha,et al.  Impact localization on composite wing using 1D array FBG sensor and RMS/correlation based reference database algorithm , 2015 .

[13]  Chee Kiong Soh,et al.  Applications of structural health monitoring technology in Asia , 2015 .

[14]  M. H. Aliabadi,et al.  Optimal sensor placement for maximum area coverage (MAC) for damage localization in composite structures , 2016 .

[15]  M. Aliabadi,et al.  Guided wave temperature correction methods in structural health monitoring , 2017 .

[16]  Rune Brincker,et al.  Vibration Based Inspection of Civil Engineering Structures , 1993 .

[17]  C. Boller,et al.  Design of a Structural Health Monitoring System for a Damage Tolerance Fuselage Component , 2016 .

[18]  Francesco Ciampa,et al.  Impact detection on a helicopter composite rotor blade , 2013 .

[19]  Eric B. Flynn,et al.  A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing , 2010 .

[20]  Wieslaw J. Staszewski,et al.  Health Monitoring Of Aerospace Structures: Smart Sensor Technologies And Signal Processing , 2017 .

[21]  J. Michaels.  Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors , 2008 .

[22]  Ugo Galvanetto,et al.  Effects of the transfer function evaluation on the impact force reconstruction with application to composite panels , 2014 .

[23]  Hoon Sohn,et al.  Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward , 2003 .

[24]  Daniel Straub,et al.  Value of information analysis with structural reliability methods , 2014 .

[25]  Carlos E. S. Cesnik,et al.  Review of guided-wave structural health monitoring , 2007 .

[26]  Fu-Kuo Chang,et al.  Sensor Network Optimization for a Passive Sensing Impact Detection Technique , 2010 .

[27]  L. Mujica,et al.  Damage detection in composite materials structures under variable loads conditions by using fiber Bragg gratings and principal component analysis, involving new unfolding and scaling methods , 2015 .

[28]  Nobuo Takeda,et al.  Life cycle monitoring of large-scale CFRP VARTM structure by fiber-optic-based distributed sensing , 2011 .

[29]  Farhad Ansari,et al.  Embedded fiber optic sensor for characterization of interface strains in FRP composite , 2002 .

[30]  Chang Zhang,et al.  A hybrid piezoelectric/fiber optic diagnostic system for structural health monitoring , 2005 .

[31]  Sergio Oller,et al.  Impact damage identification in composite laminates using vibration testing , 2014 .

[32]  Charles R. Farrar,et al.  Piezoelectric Active Sensor Self-Diagnostics Using Electrical Admittance Measurements , 2006 .

[33]  Keith Worden,et al.  Sensor Placement Optimization , 2009 .

[34]  Z. Sharif-Khodaei,et al.  Identification of impact force for smart composite stiffened panels , 2013 .

[35]  Z. Su,et al.  Identification of Damage Using Lamb Waves , 2009 .

[36]  Nobuo Takeda,et al.  Development of damage monitoring system for aircraft structure using a PZT actuator/FBG sensor hybrid system , 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[37]  Victor Giurgiutiu,et al.  Damage Detection in Thin Plates and Aerospace Structures with the Electro-Mechanical Impedance Method , 2005 .

[38]  Constantinos Soutis,et al.  Distributed internal strain measurement during composite manufacturing using optical fibre sensors , 2015 .

[39]  Paul D. Wilcox,et al.  Maximum-likelihood estimation of damage location in guided-wave structural health monitoring , 2011, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[40]  Marco Gherlone,et al.  Optimum Sensor Placement for Impact Location Using Trilateration , 2015 .

[41]  M. H. Aliabadi,et al.  Optimal sensor positioning for impact localization in smart composite panels , 2013 .

[42]  Fu-Kuo Chang,et al.  Structural Health Monitoring , 2016 .

[43]  Mirco Zaccariotto,et al.  Application of Proper Orthogonal Decomposition to Damage Detection in Homogeneous Plates and Composite Beams , 2013 .

[44]  Guoping Chen,et al.  The impact force identification of composite stiffened panels under material uncertainty , 2014 .

[45]  M. H. Aliabadi,et al.  Structural Health Monitoring Platform for Sensorised Composite Structures , 2015 .

[46]  Paul D. Wilcox,et al.  Remote inspection system for impact damage in large composite structure , 2015, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[47]  Z. Sharif Khodaei,et al.  Transducer placement optimisation scheme for a delay and sum damage detection algorithm , 2017 .