Deep machine learning for structural health monitoring on ship hulls using acoustic emission method

Corrosion, fatigue and corrosion-fatigue cracking are the most pervasive types of structural problems experienced by ship structures. These damage modes, can potentially lead to unanticipated out o...

[1]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[2]  N. Ahmed,et al.  Discrete Cosine Transform , 1996 .

[3]  K.H.W. Seah,et al.  The correlation of acoustic emission with rate of corrosion , 1993 .

[4]  Eamonn J. Keogh,et al.  Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases , 2001, Knowledge and Information Systems.

[5]  Gilbert Strang,et al.  The Discrete Cosine Transform , 1999, SIAM Rev..

[6]  T. M. Roberts,et al.  Acoustic emission monitoring of fatigue crack propagation , 2003 .

[7]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[8]  Evangelos Dermatas,et al.  Neural localization of acoustic emission sources in ship hulls , 2009 .

[9]  Asa Prateepasen,et al.  Study on source location using an acoustic emission system for various corrosion types , 2007 .

[10]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.

[11]  SchmidhuberJürgen Deep learning in neural networks , 2015 .

[12]  T. W. Rettig,et al.  Acoustic Emission Method for Monitoring Corrosion Reactions , 1976 .

[13]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[14]  Chrysostomos D. Stylios,et al.  A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors , 2015, IEEE Transactions on Industrial Informatics.

[15]  Pingfeng Wang,et al.  Failure diagnosis using deep belief learning based health state classification , 2013, Reliab. Eng. Syst. Saf..

[16]  Ge Wang,et al.  Acoustic emission monitoring for detecting structural defects in vessels and offshore structures , 2009 .

[17]  T. Berge,et al.  ACOUSTIC EMISSION MONITORING OF CORROSION FATIGUE CRACK GROWTH IN OFFSHORE STEEL , 1984 .

[18]  Andrew D. Ball,et al.  An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks , 2014, Expert Syst. Appl..

[19]  Xue-wen Chen,et al.  Combating the Small Sample Class Imbalance Problem Using Feature Selection , 2010, IEEE Transactions on Knowledge and Data Engineering.