NDLI: Bispectrum feature extraction of gearbox faults based on nonnegative Tucker3 decomposition with 3D calculations

Content Provider	Springer Nature Link
Author	Wang, Haijun Xu, Feiyun Zhao, Jun’ai Jia, Minping Hu, Jianzhong Huang, Peng
Copyright Year	2013
Abstract	Nonnegative Tucker3 decomposition(NTD) has attracted lots of attentions for its good performance in 3D data array analysis. However, further research is still necessary to solve the problems of overfitting and slow convergence under the anharmonic vibration circumstance occurred in the field of mechanical fault diagnosis. To decompose a large-scale tensor and extract available bispectrum feature, a method of conjugating Choi-Williams kernel function with Gauss-Newton Cartesian product based on nonnegative Tucker3 decomposition(NTD_EDF) is investigated. The complexity of the proposed method is reduced from o(n N lgn) in 3D spaces to o(R 1 R 2 nlgn) in 1D vectors due to its low rank form of the Tucker-product convolution. Meanwhile, a simultaneously updating algorithm is given to overcome the overfitting, slow convergence and low efficiency existing in the conventional one-by-one updating algorithm. Furthermore, the technique of spectral phase analysis for quadratic coupling estimation is used to explain the feature spectrum extracted from the gearbox fault data by the proposed method in detail. The simulated and experimental results show that the sparser and more inerratic feature distribution of basis images can be obtained with core tensor by the NTD_EDF method compared with the one by the other methods in bispectrum feature extraction, and a legible fault expression can also be performed by power spectral density(PSD) function. Besides, the deviations of successive relative error(DSRE) of NTD_EDF achieves 81.66 dB against 15.17 dB by beta-divergences based on NTD(NTD_Beta) and the time-cost of NTD_EDF is only 129.3 s, which is far less than 1 747.9 s by hierarchical alternative least square based on NTD (NTD_HALS). The NTD_EDF method proposed not only avoids the data overfitting and improves the computation efficiency but also can be used to extract more inerratic and sparser bispectrum features of the gearbox fault.
Starting Page	1182
Ending Page	1193
Page Count	12
File Format	PDF
ISSN	10009345
Journal	Chinese Journal of Mechanical Engineering
Volume Number	26
Issue Number	6
e-ISSN	21928258
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-11-20
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	nonnegative tucker3 decomposition Tucker-product convolution power spectrum density updating algorithm Mechanical Engineering Theoretical and Applied Mechanics Manufacturing, Machines, Tools Engineering Thermodynamics, Heat and Mass Transfer Power Electronics, Electrical Machines and Networks Electronics and Microelectronics, Instrumentation
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Rolling bearing feature frequency extraction using extreme average envelope decomposition

Fault feature extraction of rolling bearing based on an improved cyclical spectrum density method

Gearbox fault diagnosis using adaptive zero phase time-varying filter based on multi-scale chirplet sparse signal decomposition

High efficient methods of content-based 3D model retrieval

Feature extraction and dimensionality reduction of arc sound under typical penetration status in metal inert gas welding

Feature extraction of kernel regress reconstruction for fault diagnosis based on self-organizing manifold learning

Quantitative damage detection for planetary gear sets based on physical models

Modelica-based object-orient modeling of rotor system with multi-faults

Dimensional description of on-line wear debris images for wear characterization

Bispectrum feature extraction of gearbox faults based on nonnegative Tucker3 decomposition with 3D calculations

Similar Documents

Rolling bearing feature frequency extraction using extreme average envelope decomposition

Fault feature extraction of rolling bearing based on an improved cyclical spectrum density method

Gearbox fault diagnosis using adaptive zero phase time-varying filter based on multi-scale chirplet sparse signal decomposition

High efficient methods of content-based 3D model retrieval

Feature extraction and dimensionality reduction of arc sound under typical penetration status in metal inert gas welding

Feature extraction of kernel regress reconstruction for fault diagnosis based on self-organizing manifold learning

Quantitative damage detection for planetary gear sets based on physical models

Modelica-based object-orient modeling of rotor system with multi-faults

Dimensional description of on-line wear debris images for wear characterization

Bispectrum feature extraction of gearbox faults based on nonnegative Tucker3 decomposition with 3D calculations