ANT-BASED SEARCH STRATEGY FOR INDUSTRIAL MULTIPLE-FAULT DIAGNOSTICS |
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| Pasquale Arpaia, Carlo Manna, Giuseppe Montenero |
- 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:
- -
- Event details
- Event name:
- XIX IMEKO World Congress
- Title:
Fundamental and Applied Metrology
- Place:
- Lisbon, PORTUGAL
- Time:
- 06 September 2009 - 11 September 2009