Fault detection and identification in nonlinear complex systems

非线性复杂系统中的故障检测与识别

• 批准号: DP140102180
• 负责人: A/Prof Mohammad Aldeen
• 金额: $ 18.88万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-06-01 至 2018-04-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140102180
• 关键词: Fault; detection; identification; nonlinear; complex

Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safety view points, that a way be found to ensure reliable and viable operation of complex plants. A first step in achieving this goal is to detect faults on-line and in real-time when they occur and identify their location and characteristics, which is the aim of this project.

复杂系统通常由大量相互依赖的子系统组成，这些子系统连接在一起执行某项任务。这类系统的例子有电力系统、灌溉系统、空中交通管制系统等等。这样的系统容易发生部件故障或故障。完全失效会造成不可接受的经济损失和/或人员危险。因此，从经济和安全的角度来看，找到一种方法来确保复杂电厂的可靠和可行的运行是极其重要的。实现这一目标的第一步是在故障发生时在线实时检测故障，并确定故障的位置和特征，这也是本项目的目的。