关键词: 机械采油, 示功图, 神经网络, 自组织系统

Abstract: The identification of down-hole dynamometer card is the key to making the diagnosis expert system for pumping with rod.On the basis of adaptive resonance theory,an adaptive neural networks with competitive and self-stablized learning algorithms to enhance the system learning efficiency is presented.Compared with common feedforward networks,this neural networks can overcome some shortcomings existing during learning and training and solve the problems of the complete training series to be provided and very low learning efficiency.By the further study on the dynamometer card for pumping with rod,the non-supervi-sion networks system can be used to identify various kinds of patterns from different oil fields.

Key words: echanical recovery, dynamometer card, neural networks, adaptive system