NDLI: Directional adaptive kernel distribution and its application

Content Provider	IET Digital Library
Author	Liu, Xiaofeng Bo, Lin Luo, Honglin
Abstract	The directional adaptive kernel distribution as a new time-frequency analysis method is proposed to analyse the vibration signal of rotor-bearing system. This method extends the adaptive kernel distribution to process the constructed complex-valued signal by defining directional ambiguity function (DAF). Based on the cyclic autocorrelation analysis and the complex-valued signal decomposition, the DAF is proposed, which is the product of the adaptive optimal kernel function and directional cyclic autocorrelation function. The kernel function taken as a two-dimension filter is optimised and used to suppress the cross-terms in the DAF. Then, the directional adaptive kernel distribution is obtained through the positive and inverse Fourier transform on the DAF. The new time-frequency transform is used to analyse the lateral vibration signals of the rotor and the bearing pedestal operating at oil whirling and whipping speeds. The experimental results verified that the proposed method is effective in the characterisation of the fault instantaneous characteristic frequency, rub-impact information, instantaneous planar motion and modulation information etc. in oil-film instability states of rotor-bearing system.
Starting Page	387
Ending Page	395
Page Count	9
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 4, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2015.0465
Journal	IET Signal Processing
Publisher Date	2016-11-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Civil And Mechanical Engineering Computing Complex-valued Signal Decomposition Correlation Method Cyclic Autocorrelation Analysis DAF Digital Signal Processing Directional Adaptive Kernel Distribution Directional Ambiguity Function Fault Instantaneous Characteristic Frequency Filtering Method in Signal Processing Filtering Theory Fourier Transforms Integral Transforms Inverse Transforms Mathematical Analysis Mechanical Component Mechanical Engineering Positive Inverse Fourier Transform Rotor-bearing System Rotors Time-frequency Analysis Time-frequency Analysis Method Two-dimension Filter Vibration Signal Vibrational Signal Processing Vibrations And Shock Wave
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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