A Wavelet Based Multiscale Weighted Permutation Entropy Method for Sensor Fault Feature Extraction and Identification

A Wavelet Based Multiscale Weighted Permutation Entropy Method for Sensor Fault Feature Extraction and Identification

Sensor is the core module in signal perception and measurement applications. Due to the harsh external environment, aging, and so forth, sensor easily causes failure and unreliability. In this paper, three kinds of common faults of single sensor, bias, drift, and stuck-at, are investigated. And a fa...

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Bibliographic Details
Main Authors:	Qiaoning Yang, Jianlin Wang
Format:	Article
Language:	English
Published:	Hindawi Limited 2016-01-01
Series:	Journal of Sensors
Online Access:	http://dx.doi.org/10.1155/2016/9693651

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