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Sean M. O'Connor

Researcher at University of Michigan

Publications -  24
Citations -  363

Sean M. O'Connor is an academic researcher from University of Michigan. The author has contributed to research in topics: Structural health monitoring & Wireless sensor network. The author has an hindex of 10, co-authored 24 publications receiving 301 citations. Previous affiliations of Sean M. O'Connor include University of Miami.

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Journal ArticleDOI

Compressed sensing embedded in an operational wireless sensor network to achieve energy efficiency in long-term monitoring applications

TL;DR: Reduced data collection, storage and communication requirements are found to lead to substantial reductions in the energy requirements of wireless sensor networks at the expense of modal accuracy.
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Long-term performance assessment of the Telegraph Road Bridge using a permanent wireless monitoring system and automated statistical process control analytics

TL;DR: In this article, a solar-powered wireless sensor network architecture that can be permanently deployed in harsh winter climates where limited solar energy and cold temperatures are normal operational conditions is demonstrated on a multi-steel girder bridge carrying northbound I-275 traffic over Telegraph Road.
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SenStore: A Scalable Cyberinfrastructure Platform for Implementation of Data-to-Decision Frameworks for Infrastructure Health Management

TL;DR: A scalable and secure cyberinfrastructure platform termed SenStore is introduced for the management and automated analysis of sensing data, which includes a hybrid database architecture that maximizes query efficiency.
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A NoSQL data management infrastructure for bridge monitoring

TL;DR: NoSQL database systems such as MongoDB and Apache Cassandra are employed to handle time-series data as well the unstructured bridge information model data and standard XML-based modeling languages such as OpenBrIM and SensorML are adopted to manage semantically meaningful data and to support interoperability.
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Using electrical, magnetic and acoustic sensors to detect damage in segmental concrete pipes subjected to permanent ground displacement

TL;DR: In this article, electrical sensing methods, magnetic sensing, and acoustic emission are used to monitor structural damage in a segmental concrete pipeline during a large-scale test, and the results of this study indicate that electrical sensing method (including the use of conductive grout), magnetic sensing and acoustic emissions, employed alone or in combination, can detect and quantify the damage in segmentsal concrete pipelines.