| 液压故障智能诊断技术探讨与展望 |
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| 引用本文： | 黄志坚. 液压故障智能诊断技术探讨与展望[J]. 冶金自动化, 2001, 25(3): 4-7 |
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| 作者姓名： | 黄志坚 |
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| 作者单位： | 珠江钢铁有限责任公司设备部, |
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| 摘 要： | 专家系统与神经网络是冶金液压故障诊断的主要途径。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结合，并使智能诊断系统性能更佳。
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| 关 键 词： | 液压控制系统 故障诊断 人工智能 |
| 文章编号： | 1000-7059(2001)03-0004-04 |
| 修稿时间： | 2000-08-31 |
Discussion and looking forward of intelligence diagnosis for hydraulic failure |
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| HUANG Zhi jian. Discussion and looking forward of intelligence diagnosis for hydraulic failure[J]. Metallurgical Industry Automation, 2001, 25(3): 4-7 |
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| Authors: | HUANG Zhi jian |
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| Abstract: | Expert system and artificial neural net are main intelligence diagnosis ways for hydraulic failures in metallurgical equipment. The developing direction of intelligence diagnosis will be the performances improvement and increasing learning abilities, combination, developing intelligence fault tolerating system, more utilities etc. The artificial intelligence will combine with advantaged information technology closely to make progress of intelligence diagnosis. |
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| Keywords: | hydraulic failure intelligence diagnosis |
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