摘要
专家系统与神经网络是轧机液压故障智能诊断的主要途径。智能诊断的发展方向是系统的不断完善和提高学习能力,组合化,开发容错智能系统,以及进一步实用化等。人工智能技术将与先进的信息技术紧密组合,并使智能诊断糸统性能更佳。
Expert system and artificial neural net are main intelligence diagnosis ways for rolling milling hydraulics failures. The developing direction of intelligence diagnosis are the performances improvement and increasing learning abilities, combination, developing intelligence fault tolerating system, more utilities atc. The artificial intelligence will combine with advantaged information technology closely, and result the progress of intelligence diagnosis.
出处
《冶金丛刊》
2000年第6期1-5,共5页
Metallurgical Collections
