Creation of LIVE Digital Twin for Prognostics and Predictive Maintenance of Rotating Machineries (LIVE for 2PM)

创建用于旋转机械的预测和预测性维护的实时数字孪生（LIVE for 2PM）

• 批准号: 570439-2021
• 负责人: Barari, AhmadA
• 金额: $ 13.38万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759721
• 关键词: Creation; LIVE; Digital; Twin; Prognostics

Due to the pandemic, the regular in-person inspection of the critical Rotating Machineries (RM) in hydropower, wind energy, and transportation were interrupted. Unfortunately, RM typically deteriorate their balance condition dynamically, due to wear, thermal bending, dirt collection, insulation failure, partial discharge, fault currents, thermal stress due to overloading, etc., and gradually develop concerning vibratory unbalance responses affecting RM performance and lifespan. Failure of RM in applications such as turbomachines, electromotors, generators, pumps, jet fans, etc. creates enormous unscheduled repair costs and more importantly may put human life in danger. This project aims to develop methodologies required to employ the concept of LIVE Digital Twin for Prognostics and Predictive Maintenance (LIVE for 2PM) of RM highly critical assets. The term "LIVE" refers to the first letters of the four phases in the methodology, i.e. Learn, Identify, Verify, and Extend. The key feature in LIVE digital Twins is multi-physics simulation solutions developed in alternative levels and modes, which are supported by artificial neural network and deep learning tools. LIVE Digital Twin allows Learning the behavioral patterns of individual RM considering their specifications, environment and customized factors. It Identifies the locations and types of sensors and the sensing procedures to Verify the possibilities for progressively increasing defects. It Extends the life of RM by advising predictive maintenance avoiding its failure. Implementation of LIVE Digital Twin not only reduces the needs for in-person inspection during the pandemic, but also can result in significant improvement in asset management of the critical Canadian infrastructures for energy and transportation sectors with predictive maintenance, reduced cost of repair, reduced frequency in replacing parts, shorter down-time of the corresponding highly critical infrastructures, reduced waste, and increased life-span of critical machines. All of these result in significant economic growth for a chain of industries and also a noticeable welfare of the society.

由于大流行，对水力发电，风能和运输的临界旋转机器（RM）进行定期面对面检查。不幸的是，由于磨损，热弯曲，污垢收集，部分排放，故障电流，由于过载，由于过载等，由于磨损，污垢收集，部分排放，断层电流等，RM通常会动态恶化其平衡状况，并逐渐发展出有关影响RM性能和寿命的振动不平衡响应。 RM在诸如涡轮机，电机，发电机，泵，喷气风扇等的应用中的故障。创造了巨大的外观维修成本，更重要的是可能使人类生命处于危险之中。该项目旨在开发使用实时数字双胞胎的概念进行预后和预测性维护（下午2点）RM高度关键资产所需的方法。 “ live”一词是指方法论中四个阶段的第一个字母，即学习，识别，验证和扩展。实时数字双胞胎的关键功能是多物理模拟解决方案以替代级别和模式开发的，这些解决方案由人工神经网络和深度学习工具支持。 Live Digital Twin允许考虑其规格，环境和定制因素的单个RM的行为模式。它标识了传感器的位置和类型以及传感过程，以验证逐渐增加缺陷的可能性。它通过建议避免其失败的预测性维护来延长RM的寿命。实时数字双胞胎的实施不仅减少了大流行期间的亲自检查需求，而且还可以显着改善资产管理的加拿大关键基础架构，用于能源和运输部门，预测维护成本降低，维修成本降低，降低的零件的频率降低，更换零件的较短零件，较小的零件降低了批判性的浪费，并减少了量的范围。所有这些都导致一系列行业的经济增长以及社会的明显福利。