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Cranfield University: Big Data Analytics for Industrial Application

Institution Cranfield University View institution profile
Department Cranfield University
Web https://www.cranfield.ac.uk
Email study@cranfield.ac.uk
Telephone 01234 758540
Study type Research

Summary

This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens, unknown correlation, and other useful information for diagnosis and prognosis solutions which leads to enhance reliability, maintainability and readiness of the selected system.

Big Data analytics has attracted intense interest from both academia and industry recently for its attempt to extract more useful information and knowledge from Big Data. Big Data analytics will help to develop more advance diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine leaning exists as the most promising technologies of big data analytics in industrial problems.

The student will have the opportunity to work with experts in the data analytics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University.

Doctor of Philosophy - PhD

Cranfield University

Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management.

We are focused on the specialist themes of aerospace, defence and security, energy and power, environment and agrifood, manufacturing, transport systems, and water. Cranfield School of Management is a world leader in management education and research.

We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education and research, living laboratory for testing transformative technologies and new approaches to deliver enhanced social, economic and environmental outcomes. …

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