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IEEE Transactions on Automation Science and Engineering· 2013Q1

A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis

Kaibo Liu, Nagi Gebraeel, Jianjun Shi

Short summary

A new data-level fusion methodology constructs a composite health index by integrating multiple sensor signals to better characterize system degradation and predict remaining useful life, outperforming single-sensor models.

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Field: Safety, Risk, Reliability and Quality

Safety, Risk, Reliability and QualityEngineering