Condition-based Monitoring (CbM) Development Platform, from Vibration Sensing to Algorithm Development

Given that unscheduled downtime can amount to nearly a quarter of total manufacturing costs, predictive maintenance has the potential to unlock significant savings and increased productivity. In this webinar, we will introduce a new condition based monitoring platform from Analog Devices, designed to help accelerate condition monitoring hardware, software, and algorithm development. The CN0549 platform is a complete development platform that provides mechanically secure, wide bandwidth sensor data with robust, high fidelity data acquisition. Open source embedded software stream data directly up to MATLAB and Python based data analysis tools, for real time processing and machine leraning algorithm development for predictive maintenance services. The flexibility of this platform allows engineers of all disciplines to get quickly started with their CbM application development and get their products to market faster.

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Brandon obtained a Bachelor of Science in Electrical and Computer Engineering from the University of Massachusetts Amherst in 2005. After graduating, he joined Analog Devices in July 2005 as a technical support engineer, where he interfaced with customers and their application challenges. In 2009 Brandon started working on a new reference design program entitled "Circuits from the Lab" in order to adapt to the changing industry trend in which engineers had to do more work with less time and resources available. He has since been primarily working on sensor and precision-based systems and applications designs for the past 10 years while managing a remote engineering team.

  • Presenter
  • Maurice O'Brien

    Strategic Marketing Manager

Maurice O’Brienは、アナログ・デバイセズの産業用接続部門の製品マーケティング・マネージャで、産業用アプリケーション向けの産業用イーサネット接続ソリューションをサポートする戦略を担当しています。前職では、アナログ・デバイセズの電源管理部門において15年にわたりアプリケーションおよびマーケティングを担当していました。アイルランドのリムリック大学で電子工学の学士号を取得しています。

  • Presenter
  • Travis Collins

    Systems Development Group