Fault Diagnosis and Accommodation Based on Online Multi-model for Nonlinear Process

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• 作者：Jun Li ; Cuimei Bo ; Jiugen Zhang ; Jie Du
• 刊名：Lecture Notes in Computer Science
• 出版年：2006
• 出版时间：2006
• 年：2006
• 卷：4114
• 期：1
• 页码：661-666
• 全文大小：160 KB
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Fault diagnosis and accommodation(FDA) for nonlinear multi-variables system under multi-fault are investigated in the paper. A complete FDA architecture is proposed by incorporating the intelligent fault tolerant control strategy with a cost-effective fault detection and diagnosis (FDD) scheme based on a multiple-model. The schem efficiently handles the accommodation of both the anticipated and unanticipated failures in online situations. The three-tank with multiple sensor fault concurrence is simulated, the simulating result shows that the fault detection and tolerant control strategy has stronger robustness and tolerant fault ability.