Novel signal processing algorithms using vibration signatures towards fault diagnosis in critical airport infrastructure

使用振动特征进行关键机场基础设施故障诊断的新颖信号处理算法

• 批准号: 448166-2013
• 负责人: Narasimhan, Sriram
• 金额: $ 0.68万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=554626
• 关键词: Novel; signal; processing; algorithms; using

Critical airport infrastructure requires highly reliable operating performance. The most important of these, the Baggage Handling System (BHS), is made of assemblages of moving parts like gears, bearings, motors, and belt drives. Failure in any one of the constituent parts in a BHS can cause substantial monetary losses to the owner and operator. Ensuring smooth operation of BHS requires maintenance, either continuously or at regular intervals, so that any change in the condition like deterioration or damage of bearings, gears, and rotors can be detected in a timely manner.

关键的机场基础设施需要高度可靠的运行性能。 其中最重要的是行李处理系统（BHS），由齿轮，轴承，电机和皮带传动等移动部件组装而成。BHS中任何一个组成部分的故障都可能给所有者和运营商造成巨大的经济损失。为了确保BHS的平稳运行，需要持续或定期进行维护，以便及时检测到轴承、齿轮和转子的劣化或损坏等任何状况变化。