Integrated sensor-system monitoring, fault detection and performance recovery

集成传感器系统监控、故障检测和性能恢复

• 批准号: 5542-2011
• 负责人: Sassani, Farrokh
• 金额: $ 1.68万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=510179
• 关键词: Integrated; sensor; system; monitoring; fault

Normal wear, design flaws, and external influences and disturbances, such as overload, cause gradual deterioration in many systems, which can lead to inferior performance and/or catastrophic failure. Satisfactory control and monitoring of a system requires accurate information about both the system and its individual components, and operational characteristics. Comprehensive information is often not readily available, particularly when the system is in operation has been altered. In addition, since equipment/machinery manufacturers do not generally foresee a need to determine and supply such information, they do not provide a built-in means to extract such data in the future. Over the past years the applicant has continued research in online system/parameter identification, fault detection, isolation and recovery. The result of such work helps maintain equipment and systems in safe and economical operational mode. Many successful strategies have in fact been developed by many researchers for detecting and diagnosing faults and failures in variety of industrial settings. However, the "true" source of the fault is often not distinguished. It is indeed a highly possible scenario for a fault in a system to decommission an associated sensor. Each fault or failure scenario requires a distinct remedy, and if the source of the fault is indistinguishable it can lead to an inappropriate yet "supposedly corrective" action being taken. With a sensor failure it may not be necessary to ground the system, whereas a failure in the system may call for an urgent action. The proposed research is intended to develop means of correctly locating the source of the fault.

正常磨损、设计缺陷以及外部影响和干扰（例如过载）会导致许多系统逐渐恶化，从而导致性能下降和/或灾难性故障。对系统的令人满意的控制和监视需要有关系统及其各个组件以及操作特性的准确信息。全面的信息通常不容易获得，特别是当系统正在运行时已经被改变时。此外，由于设备/机械制造商通常不会预见到确定和提供此类信息的需要，因此他们不提供将来提取此类数据的内置方法。在过去的几年中，申请人在在线系统/参数识别、故障检测、隔离和恢复方面持续进行研究。此类工作的结果有助于维持设备和系统处于安全且经济的运行模式。事实上，许多研究人员已经开发出许多成功的策略来检测和诊断各种工业环境中的故障​​和失效。然而，故障的“真正”来源往往无法区分。确实很有可能出现系统故障而导致相关传感器退役的情况。每个故障或故障场景都需要独特的补救措施，如果故障源无法区分，则可能导致采取不适当但“应该纠正”的措施。如果传感器发生故障，可能不需要将系统接地，而系统故障可能需要采取紧急措施。拟议的研究旨在开发正确定位故障源的方法。