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

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

Kaibo Liu - Nama Orang; Nagi Z. Gebraeel - Nama Orang; Jianjun Shi - Nama Orang;

Prognostics involves the effective utilization of condition or performance-based sensor signals to accurately estimate the remaining lifetime of partially degraded systems and components. The rapid development of sensor technology, has led to the use of multiple sensors tomonitor the condition of an engineering system. It is therefore important to develop methodologies capable of integrating data from multiple sensors with the goal of improving the accuracy of predicting remaining lifetime. Although numerous efforts have focused on developing feature-level and decision-level fusion methodologies for prognostics, little research has targeted the development of “data-level” fusion models. In this paper, we
present a methodology for constructing a composite health index for characterizing the performance of a system through the fusion of multiple degradation-based sensor data. This methodology includes data selection, data processing, and data fusion steps that lead to an improved degradation-based prognosticmodel.Our goal is that the composite health index provides a much better characterization
of the condition of a system compared to relying solely on data from an individual sensor. Ourmethodologywas evaluated through a case study involving a degradation dataset of an aircraft
gas turbine engine that was generated by the CommercialModular Aero-Propulsion System Simulation (C-MAPSS).

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Judul Seri: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
No. Panggil: -
Penerbit: : ., 2013
Deskripsi Fisik: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, VOL. 10, NO. 3, JULY 2013
Bahasa: English
ISBN/ISSN: -
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: VOL. 10, NO. 3
Subjek: TEKNIK
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Yuli/Agus

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

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