Enhance Efficiency: Integrating Prognostic and Health Management with Business Intelligence
Author:
Affiliation:
1. University of Sharjah,Industrial Engineering and Engineering Management,Sharjah,UAE
2. University of Sharjah,Sustainable & Renewable Energy Engineering Department,Sharjah,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625768/10626308/10627207.pdf?arnumber=10627207
Reference15 articles.
1. Prognostic and health management for engineering systems: a review of the data‐driven approach and algorithms
2. Business Intelligence
3. The impact model of business intelligence on decision support and organizational benefits
4. Overview of Remaining Useful Life Prediction Techniques in Through-life Engineering Services
5. An integrated approach to the development of an intelligent prognostic health management system;Callan
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