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BUILT-IN TEST SIGNAL FEATURE EXTRACTION METHOD BASED ON HILBERT–HUANG TRANSFORM

MIAO ZHANG

Department of Control Science and Engineering, Harbin Institute of Technology, 150001, China

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YI SHEN

Department of Control Science and Engineering, Harbin Institute of Technology, 150001, China

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XIAO-LEI ZHANG

Department of Control Science and Engineering, Harbin Institute of Technology, 150001, China

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ZHI-BO WANG

Department of Control Science and Engineering, Harbin Institute of Technology, 150001, China

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, and

YE ZHANG

Department of Control Science and Engineering, Harbin Institute of Technology, 150001, China

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https://doi.org/10.1142/S1793536912500057Cited by:0 (Source: Crossref)

Abstract

This work proposes a feature extraction method from Hilbert–Huang-transform- or HHT-based data analysis of built-in test (BIT) signals, which are sampled on-site and without reference signals for fault diagnosis. The proposed method fully utilizes self-adaptation of the HHT method in characterizing the envelope amplitude and instantaneous frequency for the intrinsic mode function (IMF), so as to single out the features with most irregular characteristics. Simulations are carried out on steering gear feedback voltage signal of target drone aircraft, and the extracted features show great potential for the improvement in built-in fault diagnosis.

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