Novelty detection in a changing environment: A negative selection approach

Abstract In the recent past, there have been a number of engineering studies motivated by analogies with the human immune system. The immune system has provided a rich source of inspiration for pattern recognition, machine learning and data mining analyses. One of the properties of the immune system which proves particularly useful for novelty detection is that of self/non-self discrimination and this forms the basis of the negative selection algorithm which has previously been applied by other researchers to the problem of time-series novelty detection. The object of the current paper is to apply the negative selection algorithm to more general feature sets and also to consider the case of novelty detection where the normal condition set is significantly non-Gaussian or varies with operational or environmental conditions.

[1]  Zhou Ji,et al.  Real-Valued Negative Selection Algorithm with Variable-Sized Detectors , 2004, GECCO.

[2]  Jonathan Timmis,et al.  Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .

[3]  Cecilia Surace,et al.  A negative selection approach to novelty detection in a changing environment , 2006 .

[4]  Keith Worden,et al.  EXPERIMENTAL VALIDATION OF A STRUCTURAL HEALTH MONITORING METHODOLOGY: PART I. NOVELTY DETECTION ON A LABORATORY STRUCTURE , 2003 .

[5]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[6]  Keith Worden,et al.  Damage location in an isotropic plate using a vector of novelty indices , 2007 .

[7]  Cecilia Surace,et al.  A Novelty Detection Approach to Diagnose Damage in a Cracked Beam , 1997 .

[8]  C. R. Rao,et al.  Linear Statistical Inference and its Applications , 1968 .

[9]  Cecilia Surace,et al.  Some aspects of novelty detection methods , 1997 .

[10]  Cecilia Surace,et al.  A Negative Selection Approach to detect damage in aeronautical structures with changing Operating Conditions , 2008 .

[11]  Keith Worden,et al.  EXPERIMENTAL VALIDATION OF A STRUCTURAL HEALTH MONITORING METHODOLOGY: PART II. NOVELTY DETECTION ON A GNAT AIRCRAFT , 2003 .

[12]  Robert J. Schalkoff,et al.  Pattern recognition - statistical, structural and neural approaches , 1991 .

[13]  Thomas Stützle,et al.  Ant Colony Optimization , 2009, EMO.

[14]  Ladislav Frýba.  History of Winkler Foundation , 1995 .

[15]  Cecilia Surace,et al.  On-line health monitoring of aeronautical structures using a vibration-based method , 1998 .

[16]  Cecilia Surace,et al.  DAMAGE ASSESSMENT OF MULTIPLE CRACKED BEAMS: NUMERICAL RESULTS AND EXPERIMENTAL VALIDATION , 1997 .

[17]  Calyampudi R. Rao,et al.  Linear Statistical Inference and Its Applications. , 1975 .

[18]  Huibo Jia,et al.  A Biological Immunity-Inspired Novelty Detection Algorithm for Rotor System Monitoring , 2005 .

[19]  Yonggui Dong,et al.  A cosine similarity-based negative selection algorithm for time series novelty detection , 2006 .

[20]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[21]  Cecilia Surace,et al.  Application of two damage detection techniques to an offshore platform , 1999 .

[22]  Keith Worden,et al.  Experimental validation of a structural health monitoring methodology: Part III. Damage location on an aircraft wing , 2003 .

[23]  Stephen J. Roberts,et al.  A Probabilistic Resource Allocating Network for Novelty Detection , 1994, Neural Computation.

[24]  Claudia Eckert,et al.  Is negative selection appropriate for anomaly detection? , 2005, GECCO '05.

[25]  Jonathan Timmis,et al.  Comments on real-valued negative selection vs. real-valued positive selection and one-class SVM , 2007, 2007 IEEE Congress on Evolutionary Computation.

[26]  Keith Worden,et al.  STRUCTURAL FAULT DETECTION USING A NOVELTY MEASURE , 1997 .

[27]  Rakesh K. Kapania,et al.  A Simple Element for Aeroelastic Analysis of Undamaged and Damaged Wings , 1989 .

[28]  Cecilia Surace,et al.  An application of Genetic Algorithms to identify damage in elastic structures , 1996 .

[29]  Cecilia Surace,et al.  A novelty detection method to diagnose damage in structures: An application to an offshore platform , 1998 .