Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sarah Lukens"'
Publikováno v:
Applied AI Letters, Vol 2, Iss 3, Pp n/a-n/a (2021)
Abstract Despite recent dramatic successes, natural language processing (NLP) is not ready to address a variety of real‐world problems. Its reliance on large standard corpora, a training and evaluation paradigm that favors the learning of shallow h
Externí odkaz:
https://doaj.org/article/7c4f8018201a4dceb535b9e29ff8a19a
Publikováno v:
International Journal of Prognostics and Health Management, Vol 12, Iss 1 (2021)
Sensors and mathematical models have been used since the 1990’s to assess the health of systems and diagnose anomalous behavior. The advent of the Internet of Things (IoT) increases the range of assets on which data can be collected cost effectivel
Externí odkaz:
https://doaj.org/article/9888804a7b704b2692bc0885bb256543
Publikováno v:
Annual Conference of the PHM Society. 14
High efficacy algorithm development for prognostics requires quality data from sensors and other contextual sources, such as maintenance, usage and inspection data. Data quality challenges, such as lack of sensor-based history (depth) across the enti
Publikováno v:
Manufacturing Letters. 27:42-46
Out-of-the-box natural-language processing (NLP) pipelines need re-imagining to understand and meet the requirements of engineering data. Text-based documents account for a significant portion of data collected during the life cycle of asset manageme
Publikováno v:
Applied AI Letters, Vol 2, Iss 3, Pp n/a-n/a (2021)
Appl AI Lett
Appl AI Lett
Despite recent dramatic successes, natural language processing (NLP) is not ready to address a variety of real‐world problems. Its reliance on large standard corpora, a training and evaluation paradigm that favors the learning of shallow heuristics
Publikováno v:
International Journal of Prognostics and Health Management, Vol 12, Iss 1 (2021)
Sensors and mathematical models have been used since the 1990’s to assess the health of systems and diagnose anomalous behavior. The advent of the Internet of Things (IoT) increases the range of assets on which data can be collected cost effectivel
Publikováno v:
Annual Conference of the PHM Society. 11
Field maintenance data is often captured manually and is prone to have incomplete and inaccurate information in the structured fields. However, unstructured fields captured through work order planning, scheduling, and execution contains a wealth of h
Publikováno v:
Annual Conference of the PHM Society. 11
A standardized taxonomy enables asset-intensive industrial organizations to systematically measure and track efficiency and performance of assets at different levels in an asset hierarchy. Having a well-structured taxonomy also allows companies to ta
Autor:
Sarah Lukens, Matt Markham
Publikováno v:
Annual Conference of the PHM Society. 10
There are many benefits from implementing a prognostics and health management (PHM) initiative in an industrial facility, such as realizing potentials from reducing unplanned downtime and increased asset efficiency. Many industrial companies would li
Publikováno v:
Journal of Theoretical Biology. 353:44-54
The seriousness of pneumococcal pneumonia in mouse models has been shown to depend both on bacterial serotype and murine strain. We here present a simple ordinary differential equation model of the intrahost immune response to bacterial pneumonia tha