A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis
A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis
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DOI：
10.1109/tase.2013.2250282
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发表时间：
2013-07-01
影响因子：
5.6
通讯作者：
Shi, Jianjun
中科院分区：
文献类型：
--
作者：
Liu, Kaibo;Gebraeel, Nagi Z.;Shi, Jianjun
预测包括有效利用基于状态或性能的传感器信号，以准确估计部分退化系统和部件的剩余寿命。传感器技术的迅速发展，导致了使用多个传感器来监测一个工程系统的状态。因此，重要的是开发能够整合来自多个传感器的数据的方法，以提高预测剩余寿命的准确性。尽管许多努力都集中在开发用于预测的特征级和决策级融合方法上，但很少有研究针对“数据级”融合模型的开发。在本文中，我们提出了一种方法，用于构建一个复合健康指数，通过融合多个基于退化的传感器数据来表征系统的性能。该方法包括数据选择、数据处理和数据融合步骤，这些步骤导致改进的基于退化的预测模型。我们的目标是，与仅依赖单个传感器的数据相比，综合健康指数提供了更好的系统状况表征。我们的方法进行了评估，通过一个案例研究，涉及退化数据集的飞机燃气涡轮机发动机，是由商业模块化航空推进系统仿真（C-MAPSS）。
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 to monitor 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 prognostic model. 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. Our methodology was evaluated through a case study involving a degradation dataset of an aircraft gas turbine engine that was generated by the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS).