Development of a new acoustic/elastic metamaterial with broadband vibration and acoustic wave isolation ability for fault detecting sensors

开发用于故障检测传感器的具有宽带振动和声波隔离能力的新型声学/弹性超材料

• 批准号: 543448-2019
• 负责人: Wang, Xiaodong
• 金额: $ 1.81万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680104
• 关键词: Development; new; acoustic; elastic; metamaterial

How to avoid severe industrial accidents is a major issue in the design and maintenance of engineering structures. These failures could have been avoided if the health condition of the structures could be properly monitored. In this context, predictive maintenance plays an important role in preventing these failures. Nanoprecise Sci Corp is a leading company offering cutting-edge solutions in material failure analysis for engineering structures. They have developed RotationLF, an advanced predictive maintenance solution system, which implements artificial intelligence based algorithms to analyze vibration and acoustic signals collected by wireless sensors for the realization of early stage fault detection in rotating equipment, such as engines, compressors, pumps and gearboxes. By proper modelling and data analysis of the sensor signals, deformation or degradation of the structures can be identified and used to predict potential failures.In the RotationLF, wireless Nanoprecise sensors are mounted on the rotating equipment to receive the vibration and acoustic wave signals from the measured structures. The quality of the sensor data plays a critical role in the evaluation of the health condition of the structures. An urgent challenge facing Nanoprecise Sci Corp is how to increase the frequency resolution of RotationLF, which is directly associated with the accurate fault identification in rotating equipment. The current project aims to provide a solution to improve the frequency resolution of the current system. Specifically, a new integrated metamaterial vibration filter will be developed. The new metamaterial filter is tailored not only by material composition but also, and more importantly, by the detailed geometrical design of the local structure to achieve the desired vibration filtering and, therefore, the improvement of frequency resolution. The outcomes of this project can lead to a considerable increase in the accuracy of fault prediction.

如何避免严重的工业事故是工程结构设计和维护中的一个重大问题。如果能够适当监测结构的健康状况，这些故障本可以避免。在这种情况下，预测性维护在防止这些故障方面发挥着重要作用。Nanoprecise Sci Corp是一家领先的公司，为工程结构提供材料失效分析的尖端解决方案。他们开发了RotationLF，这是一种先进的预测性维护解决方案系统，该系统采用基于人工智能的算法来分析无线传感器收集的振动和声学信号，以实现发动机，压缩机，泵和齿轮箱等旋转设备的早期故障检测。通过对传感器信号进行适当的建模和数据分析，可以识别结构的变形或退化，并用于预测潜在的故障。在RotationLF中，无线Nanoprecise传感器安装在旋转设备上，以接收来自被测结构的振动和声波信号。传感器数据的质量在结构健康状况的评估中起着至关重要的作用。如何提高RotationLF的频率分辨率是Nanoprecise Sci Corp面临的一个紧迫挑战，这直接关系到旋转设备中故障的准确识别。本项目旨在提供一种解决方案，以提高当前系统的频率分辨率。具体而言，将开发一种新的集成超材料振动滤波器。新的超材料滤波器不仅通过材料成分定制，而且更重要的是，通过局部结构的详细几何设计来实现所需的振动滤波，从而提高频率分辨率。该项目的成果可以导致故障预测的准确性大大提高。