Work

Enabling Accurate and Timely Prognostics for Aircraft Turbofan Engines

Year: 2024

Type: conference-paper

Source: IEEE/ACM Symposium on Edge Computing (SEC)

DOI: 10.1109/sec62691.2024.00040

Authors: Philippa Scroggins, Sidi Lu

Institution: William & Mary

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Science Foundation

Award: CRII: CSR: Towards an Edge-enabled Software-Defined Vehicle Framework for Dynamic Over-the-Air Updates

OpenAlex ID: W4405975554

FWCI:

Cites: 30

Cited by:

Related to: 10