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: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=520810
• 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.

正常的磨损，设计缺陷以及外部影响和干扰（例如过载）在许多系统中逐渐恶化，这会导致性能下降和/或灾难性衰竭。对系统的满意控制和监视需要有关系统及其各个组件以及操作特征的准确信息。通常不容易获得全面的信息，尤其是当系统正在进行中时。此外，由于设备/机械制造商通常不希望确定和提供此类信息，因此他们将来没有提供内置手段来提取此类数据。在过去的几年中，申请人继续研究在线系统/参数识别，故障检测，隔离和恢复。此类工作的结果有助于将设备和系统保持在安全，经济的操作模式。实际上，许多研究人员已经制定了许多成功的策略，用于检测和诊断各种工业环境中的故障​​和失败。但是，故障的“真实”来源通常没有区分。系统中的故障确实是一个非常可能的情况，可以退役相关的传感器。每个故障或故障场景都需要一个独特的补救措施，如果故障的来源无法区分，则可能导致不适当但“据称纠正”的动作。通过传感器故障，可能无需将系统接地，而系统中的故障可能需要采取紧急行动。拟议的研究旨在开发正确定位故障来源的手段。