The Diagnostic Dendritic Cell Algorithm for robotic systems

This paper presents a lightweight, immune-inspired system for the diagnosis of faults. We adapt the dendritic cell algorithm, to develop the Diagnostic Dendritic Cell Algorithm (D-DCA) to afford on-line diagnosis of stuck-at-fault conditions. Our work shows that the D-DCA is capable of successfully diagnosing simple faults within an acceptable time frame, with an acceptable accuracy.

[1]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[2]  Julie Greensmith,et al.  The Deterministic Dendritic Cell Algorithm , 2008, ICARIS.

[3]  Belur V. Dasarathy,et al.  Nearest neighbor (NN) norms: NN pattern classification techniques , 1991 .

[4]  Julie Greensmith,et al.  Articulation and Clarification of the Dendritic Cell Algorithm , 2006, ICARIS.

[5]  F. Azuaje.  Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .

[6]  Graham Kendall,et al.  Frequency analysis for dendritic cell population tuning , 2008, Evol. Intell..

[7]  Venkat Venkatasubramanian,et al.  A neural network methodology for process fault diagnosis , 1989 .

[8]  Salvatore J. Stolfo,et al.  Data Mining Approaches for Intrusion Detection , 1998, USENIX Security Symposium.

[9]  Graham Kendall,et al.  Geometrical insights into the dendritic cell algorithm , 2009, GECCO '09.

[10]  Iain Bate,et al.  Improving the reliability of real-time embedded systems using innate immune techniques , 2008, Evol. Intell..

[11]  Julie Greensmith,et al.  The Application of a Dendritic Cell Algorithm to a Robotic Classifier , 2007, ICARIS.

[12]  T Bi,et al.  A novel ANN fault diagnosis system for power systems using dual GA loops in ANN training , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[13]  Peter J. Bentley,et al.  Negative selection and niching by an artificial immune system for network intrusion detection , 1999 .

[14]  C. J. Lopez-Toribio,et al.  Fuzzy observers for nonlinear dynamic systems fault diagnosis , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[15]  Gautam Biswas,et al.  Bayesian Fault Detection and Diagnosis in Dynamic Systems , 2000, AAAI/IAAI.

[16]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..

[17]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[18]  Parag K. Lala,et al.  Fault tolerant and fault testable hardware design , 1985 .

[19]  Jonathan Timmis,et al.  Theoretical advances in artificial immune systems , 2008, Theor. Comput. Sci..

[20]  Jonathan Timmis,et al.  Application Areas of AIS: The Past, The Present and The Future , 2005, ICARIS.

[21]  Julie Greensmith,et al.  Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomoly Detection , 2005, ICARIS.

[22]  Julie Greensmith,et al.  Information fusion for anomaly detection with the dendritic cell algorithm , 2010, Inf. Fusion.