Judith Ann Guzzo

TL;DR: A new computational framework that enables remote real-time sensing, monitoring, and scalable high performance computing for diagnosis and prognosis is introduced and a proof-of-concept prototype is developed to demonstrate how the framework can enable manufacturers to monitor machine health conditions and generate predictive analytics.

TL;DR: In this article, a technique is provided for monitoring and tracking inventories within one or more assets, which includes sensing a plurality of parameters associated with each of the one or multiple assets, including a positional information of the asset.

TL;DR: Benefits of the presented sensor platform include enhanced productivity, improved energy efficiency and reduced costs by enabling manufacturers to rapidly gain new knowledge and insights into their operations through real-time visibility of critical equipment health.

TL;DR: In this paper, a system and method for monitoring a condition of a marine riser including at least one subsea sensing and acoustic platform mechanically coupled to a riser joint is presented.

TL;DR: In this article, the authors present approaches that may be used to manage research assets, such as equipment and consumable items, by storing asset information from multiple input sources in a database or other mass storage device and using them to provide a report of the real-time condition of any individual research asset.