ANT-BASED SEARCH STRATEGY FOR INDUSTRIAL MULTIPLE-FAULT DIAGNOSTICS

• Abstract:

  A swarm-intelligence solution to industrial problems of automatic multiple-faults diagnostics is proposed. In particular, drawbacks of swarm-based algorithms in heuristic search strategy related to the mutual dependence of solutions are overcome by a likelihood-based trail intensity modification of ant-colony optimization. Experimental results of comparison tests with an evolutionary state-of-the-art solution of a case study on an advanced industrial system for remote monitoring, diagnostics, and maintenance are reported.
• Keywords:

  artificial intelligence, industrial diagnostics, multiple faults diagnosis
• Download:

  IMEKO-WC-2009-TC4-558.pdf
• DOI:

  _unreg_wc-2009.558

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