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生产过程质量智能化诊断方法的研究 被引量:6

Research on the Intelligent Diagnosis Method of Manufacturing Quality
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摘要 针对目前生产过程质量诊断方法本身不可克服的局限性 ,提出了一种基于粗集的智能化生产过程质量诊断的新方法 ,该方法不需要关于数据的任何先验或附加信息 。 The paper presents a new approach to quality diagnosis in manufacturing process based on rough set as a results of the limitation of the current approach, our approach can effectively solve the quality diagnosis problems in a multi-operation and multi-index system without any additional information.
出处 《机械科学与技术》 CSCD 北大核心 2003年第5期821-823,共3页 Mechanical Science and Technology for Aerospace Engineering
关键词 粗集 生产过程 质量诊断 Rough set Manufacturing process Quality diagnosis
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参考文献5

  • 1Leger R P, et al. Fault detection and diagnosis using statistical control charts and artificial neural networks[J]. Artificial Intelligence in Engineering, 1998, 12:35-47.
  • 2Guh R S, Tannock J D T, Brien C O. IntelliSPC: a hybrid intelligent tool for on-line economical statistical process control[J]. Expert System with Appllcations, 1999, 17.
  • 3Reddy D C, Ghosh K. Identification and Interpretation of Manufacturing Process Patterns through Neural Networks[J]. Mathl. Comput. Modelling, 1998, 27(5):15-36.
  • 4Pham, et al. An intergrated neural network and expert system tool for statistical process control[A]. Proc. Imstitution of Mechanical Engineers[C], 1995, 209:91-97.
  • 5Guan J W, Bell D A. Rough computational methods for information systems[J]. Artificial Intelligence, 1998, 105.

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