Abstract
As the research object based on a variety of models of self-propelled artillery electromechanical equipment, detailed analysis was carried out on the self-propelled guns electrical equipment failure mode by using the artificial intelligence diagnosis and data mining technology, and a comprehensive, universal and high stability fault diagnosis and maintenance support system for the new self-propelled artillery electromechanical equipment is developed, which realize offline testing, FBI test and quality assessment, a combination of fault diagnosis, maintenance decision-making and information management. Based on the system hardware platform, the fault diagnosis model and maintenance information management system are established, the corresponding fault diagnosis and maintenance support system are finally developed.By passing test, the system have strong comprehensive ,good versatility and the characteristics of high stability.
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