Work

Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis

Year: 2015

Type: article

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2015.2446752

Authors: Kaibo Liu, Abdallah Chehade, Changyue Song

Institution: University of Wisconsin–Madison

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Collaborative Research: Data-Driven Smart Monitoring of Alzheimer's Disease via Data Fusion, Personalized Prognostics, and Selective Sensing

OpenAlex ID: W2524712998

FWCI: 12.4

Cites: 28

Cited by: 146

Related to: 10