基于多分辨率信号分解技术的传感器和执行器预测算法

2011 International Conference on Process Automation, Control and Computing Pub Date : 2011-07-20 DOI:10.1109/PACC.2011.5979041

H. Bal, S. Mohanty, N. Mahalik, Kiseon Kim

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引用次数: 0

摘要

在传感器和执行器中基于模型的故障检测和隔离(FDI)在近二十年的文献中被发现。本文研究了多分辨率信号分解(MRSD)方法，该方法是对FDI光谱分析方法短时傅里叶变换的扩展。仿真研究表明，所提出的MRSD算法可以有效地用于智能传感器和执行器的设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Prognostic Algorithm for Sensors and Actuators Using Multiresolution Signal Decomposition Technique

Model-based Fault Detection and Isolation (FDI) in sensors and actuators are found in the literature since two decades. This research focuses on multi-resolution signal decomposition (MRSD) method which is an extension of the Short-Time Fourier Transform, a spectral analysis methods for FDI. The simulation study suggests that the developed MRSD algorithms can be effectively used for the design of smart sensors and actuators.

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2011 International Conference on Process Automation, Control and Computing

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