Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams
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Ozgur Kisi | Kamil Aydin | Ö. Kisi | K. Aydin | Özgür Kisi
[1] X. Fang,et al. Structural damage detection using neural network with learning rate improvement , 2005 .
[2] B.S.N. Murthy,et al. Damage detection in vibrating bodies using genetic algorithms , 2004 .
[3] Yu Lei,et al. Hilbert-Huang Based Approach for Structural Damage Detection , 2004 .
[4] C. Ratcliffe. A Frequency and Curvature Based Experimental Method for Locating Damage in Structures , 2000 .
[5] Anun Patjawit,et al. Health monitoring of highway bridges based on a Global Flexibility Index , 2005 .
[6] John E. Mottershead,et al. Inverse Methods in Structural Health Monitoring , 2001 .
[7] Ranjan Ganguli,et al. Genetic fuzzy system for damage detection in beams and helicopter rotor blades , 2003 .
[8] Nicholas J. Carino,et al. Health monitoring of civil infrastructures , 2003 .
[9] Ranjan Ganguli,et al. Genetic fuzzy system for online structural health monitoring of composite helicopter rotor blades , 2007 .
[10] Antonio Ruiz,et al. Performance assessment of multicriteria damage identification genetic algorithms , 2009 .
[11] Yi-Qing Ni,et al. Experimental investigation of seismic damage identification using PCA-compressed frequency response functions and neural networks , 2006 .
[12] Bijan Samali,et al. An experimental study on damage detection of structures using a timber beam , 2007 .
[13] Avi Ostfeld,et al. A coupled model tree-genetic algorithm scheme for flow and water quality predictions in watersheds , 2008 .
[14] Ahmet E. Aktan,et al. ISSUES IN INFRASTRUCTURE HEALTH MONITORING FOR MANAGEMENT , 2000 .
[15] Francisco Herrera,et al. A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions , 2013, IEEE Transactions on Fuzzy Systems.
[16] Norris Stubbs,et al. Crack detection in beam-type structures using frequency data , 2003 .
[17] F. Chu,et al. Using genetic algorithms and finite element methods to detect shaft crack for rotor-bearing system , 2001 .
[18] Gangbing Song,et al. Experimental Damage Identification of Carbon/Epoxy Composite Beams Using Curvature Mode Shapes , 2004 .
[19] Mehmet Özger,et al. Comparison of fuzzy inference systems for streamflow prediction , 2009 .
[20] G C Lee,et al. NEURAL NETWORKS TRAINED BY ANALYTICALLY SIMULATED DAMAGE STATES , 1993 .
[21] Shih-Lin Hung,et al. A neural network-based approach for detection of structural damage , 2005 .
[22] Ranjan Ganguli,et al. Matrix Crack Detection in Thin-walled Composite Beam using Genetic Fuzzy System , 2005 .
[23] Zekai Şen,et al. Fuzzy algorithm for estimation of solar irradiation from sunshine duration , 1998 .
[24] Chuanshuang Hu,et al. A statistical algorithm for comparing mode shapes of vibration testing before and after damage in timbers , 2006, Journal of Wood Science.
[25] Mir Mohammad Ettefagh,et al. Crack detection in beam-like structures using genetic algorithms , 2008, Appl. Soft Comput..
[26] Thomas Bäck,et al. EVOLUTIONARY ALGORITHMS FOR FUZZY LOGIC: A BRIEF OVERVIEW , 1995 .
[27] Zubaidah Ismail,et al. Crack detection in a simply supported RC beam using simplified laplacian , 2001 .
[28] Samuel O. Russell,et al. Reservoir Operating Rules with Fuzzy Programming , 1996 .
[29] Ioannis Brilakis,et al. Neurofuzzy Genetic System for Selection of Construction Project Managers , 2011 .
[30] Charles R. Farrar,et al. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .
[31] Nachimuthu Karunanithi,et al. Neural Networks for River Flow Prediction , 1994 .
[32] Dayal R. Parhi,et al. Detection of the Crack in Cantilever Structures using Fuzzy Gaussian Inference Technique , 2009 .
[33] M. Farid Golnaraghi,et al. Prognosis of machine health condition using neuro-fuzzy systems , 2004 .
[34] Ranjan Ganguli,et al. Health monitoring of a helicopter rotor in forward flight using fuzzy logic , 2002 .
[35] G. Owolabi,et al. Crack detection in beams using changes in frequencies and amplitudes of frequency response functions , 2003 .
[36] Erasmo Viola,et al. Detection of crack location using cracked beam element method for structural analysis , 2001 .
[37] Pc Pandey,et al. Multilayer perceptron in damage detection of bridge structures , 1995 .
[38] James H. Garrett,et al. Use of neural networks in detection of structural damage , 1992 .
[39] Jeong‐Tae Kim,et al. Improved damage identification method based on modal information , 2002 .
[40] Luc Boullart,et al. An implementation of genetic algorithms for rule based machine learning , 2000 .
[41] J. Guivant,et al. Vibration based damage detection of a beam-type structure using noise suppression method , 2012 .
[42] S. C. Chuang,et al. Reducing errors in the identification of structural joint parameters using error functions , 2004 .
[43] Charles R. Farrar,et al. Comparative study of damage identification algorithms applied to a bridge: I. Experiment , 1998 .
[44] P. Dokopoulos,et al. A fuzzy expert system for the forecasting of wind speed and power generation in wind farms , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).
[45] Ahmad B. Rad,et al. Fuzzy-genetic algorithm for automatic fault detection in HVAC systems , 2007, Appl. Soft Comput..
[46] Rafael Alcalá,et al. Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms , 2003, Applied Intelligence.
[47] C. R. Farrar,et al. Lessons learned from applications of vibration-based damage identification methods to a large bridge structure , 1997 .
[48] José L. Zapico,et al. Seismic damage identification in buildings using neural networks and modal data , 2008 .
[49] Constantinos Soutis,et al. Damage detection in composite materials using frequency response methods , 2002 .
[50] M. Imregun,et al. Combined neural network and reduced FRF techniques for slight damage detection using measured response data , 2001 .
[51] S. S. Law,et al. Wavelet-based crack identification of bridge beam from operational deflection time history , 2006 .
[52] A. Swamidas,et al. Identification of Cracking in Beam Structures Using Timoshenko and Euler Formulations , 2004 .
[53] M. Chandrashekhar,et al. Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic , 2009 .
[54] Singiresu S Rao,et al. Structural damage detection and identification using fuzzy logic , 2000 .
[55] N. Khaji,et al. Analytical solutions for free and forced vibrations of a multiple cracked Timoshenko beam subject to a concentrated moving load , 2011 .
[56] Qiusheng Li,et al. Vibratory Characteristics of Timoshenko Beams with Arbitrary Number of Cracks , 2003 .
[57] Charles R. Farrar,et al. A summary review of vibration-based damage identification methods , 1998 .
[58] Francisco Herrera,et al. GENERATING FUZZY RULES FROM EXAMPLES USING GENETIC ALGORITHMS , 1995 .
[59] Pizhong Qiao,et al. Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .
[60] Xia Yong,et al. An impedance analysis for crack detection in the Timoshenko beam based on the anti-resonance technique , 2007 .
[61] Enrico Zio,et al. A neuro-fuzzy technique for fault diagnosis and its application to rotating machinery , 2009, Reliab. Eng. Syst. Saf..
[62] Ulrike Dackermann. Vibration-based damage identification methods for civil engineering structures using artificial neural networks , 2009 .
[63] H. J. Salane,et al. IDENTIFICATION OF MODAL PROPERTIES OF BRIDGES , 1990 .
[64] A. S. Sekhar,et al. Detection of two cracks in a rotor-bearing system using amplitude deviation curve , 2008 .
[65] Henning Heider,et al. AUTOMATIC DESIGN OF FUZZY SYSTEMS BY GENETIC ALGORITHMS , 1995 .
[66] Michael Valásek,et al. Hybrid fuzzy-genetic system for optimising cabled-truss structures , 2013, Adv. Eng. Softw..
[67] Q. J. Wang. The Genetic Algorithm and Its Application to Calibrating Conceptual Rainfall-Runoff Models , 1991 .
[68] Arup Kumar Sarma,et al. Genetic Algorithm for Optimal Operating Policy of a Multipurpose Reservoir , 2005 .
[69] Chih-Chieh Chang,et al. Vibration damage detection of a Timoshenko beam by spatial wavelet based approach , 2003 .
[70] Francisco Herrera,et al. Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base , 2001, IEEE Trans. Fuzzy Syst..
[71] Sami F. Masri,et al. Neural Network Approach to Detection of Changes in Structural Parameters , 1996 .
[72] Andrew D. Dimarogonas,et al. Vibration of cracked structures: A state of the art review , 1996 .
[73] E. Peter Carden,et al. Vibration Based Condition Monitoring: A Review , 2004 .
[74] Francisco Herrera,et al. Genetic fuzzy systems: taxonomy, current research trends and prospects , 2008, Evol. Intell..
[75] Grant P. Steven,et al. VIBRATION-BASED MODEL-DEPENDENT DAMAGE (DELAMINATION) IDENTIFICATION AND HEALTH MONITORING FOR COMPOSITE STRUCTURES — A REVIEW , 2000 .