Hybrid monitoring, diagnostics and prognostics on machines and structures

机器和结构的混合监控、诊断和预测

• 批准号: RGPIN-2016-05859
• 负责人: Vu, VietHung
• 金额: $ 1.68万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638687
• 关键词: Hybrid; monitoring; diagnostics; prognostics; machines

Vibrations are the most critical source of structural and mechanical damage and failure. In modern engineering, while static loading has been thoroughly investigated and resolved by advanced computing and finite element methods, dynamic problems with nonlinearities, uncertainty and non-stationarity have not yet been solved explicitly, especially for existing mechanisms and structures. The best approach to understand and predict the dynamic behavior of such real-life systems is to conduct experimental analysis, diagnostics and prognostics. The core of this experimental investigation is modal analysis. Over the past two decades, knowledge of modal analysis has developed to the “in operation” level, taking into account actual structural and mechanical conditions of systems and their operating loads. Consequently, the challenges faced in operational modal analysis (OMA) are the variations in

振动是结构和机械损坏和故障的最关键来源。在现代工程中，虽然静态载荷已经被先进的计算和有限元方法彻底研究和解决，但具有非线性、不确定性和非平稳性的动态问题还没有明确解决，特别是对于现有的机构和结构。理解和预测这种真实系统的动态行为的最佳方法是进行实验分析、诊断和预测。本实验研究的核心是模态分析。在过去的二十年里，模态分析的知识已经发展到“运行”的水平，考虑到系统的实际结构和机械条件及其工作载荷。因此，操作模态分析（OMA）面临的挑战是