Application of Ant Colony Algorithms in fault diagnosis

For concluding the difficulty of classing fault sign of equipment automatically in fault diagnosis, this paper presents a new excellent clustering algorithm based on Ant Colony Algorithms (ACA). It is discovered the diagnosis earlier, it is classified fault sign of equipment automatically, and obtai...

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Bibliographic Details
Published in2011 Chinese Control and Decision Conference (CCDC) pp. 705 - 709
Main Authors Jing Chang, Guicheng Wang, Xuejiao Yin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
Algorithm design and analysis
Ant colony algorithms
Cities and towns
Classification algorithms
Clustering
Clustering algorithms
Fault diagnosis
Fault recognition
Heuristic algorithms
Signal processing algorithms
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Summary:For concluding the difficulty of classing fault sign of equipment automatically in fault diagnosis, this paper presents a new excellent clustering algorithm based on Ant Colony Algorithms (ACA). It is discovered the diagnosis earlier, it is classified fault sign of equipment automatically, and obtain diagnosis knowledge, conclude diagnosis rule, find the reason of fault. All these are in favor of fast, automatic and exact decision-making and dealing with the fault. ACA is applied in the fault diagnosis and recognition, and does pattern recognition for a chemical reactor. Result and the actual operation state are consistent. That can reflect the algorithm accuracy.
ISBN:9781424487370
1424487374
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2011.5968274