AI-MEMS Sensors for Preemptive Maintenance (Phase I)

用于预防性维护的 AI-MEMS 传感器（第一阶段）

• 批准号: 555555-2020
• 负责人: Sylvestre, JulienJ
• 金额: $ 4.37万
• 依托单位: Université de Sherbrooke
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 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=754375
• 关键词: AI; MEMS; Sensors; Preemptive; Maintenance

We have developed a new class of MEMS devices that add artificial intelligence (AI) capabilities to sensors. This unique technology has been validated thoroughly in the laboratory, and is now entering a phase of prototype demonstrations in real world applications. These prototypes demand improved robustness, packaging, integration with the MEMS drive electronics and training software. The objective of the proposedI2I Phase I project is to deliver these improvements by creating an AI-MEMS sensor platform to detect faulty machinery automatically to trigger preemptive maintenance actions in an industrial setting. The proposed AI-MEMS sensors will be small, fully autonomous, and robustly packaged for an industrial environment. They will be trained to separate abnormal conditions from normal operation, and to report wirelessly the detected abnormalities.

我们开发了一种新型MEMS器件，为传感器添加了人工智能（AI）功能。这项独特的技术已经在实验室中得到了彻底的验证，现在正进入真实的世界应用的原型演示阶段。这些原型需要改进的鲁棒性、封装、与MEMS驱动电子设备和培训软件的集成。拟议的I2 I第一阶段项目的目标是通过创建一个AI-MEMS传感器平台来自动检测故障机械，以在工业环境中触发先发制人的维护行动，从而实现这些改进。拟议中的AI-MEMS传感器将是小型的，完全自主的，并且针对工业环境进行了坚固的包装。他们将接受培训，以区分异常情况与正常操作，并无线报告检测到的异常情况。