NDLI: Quantitative diagnosis of fault severity trend of rolling element bearings

Please wait, while we are loading the content...

Thermoelastic analysis of non-uniform pressurized functionally graded cylinder with variable thickness using first order shear deformation theory(FSDT) and perturbation method

Frequency dispersion of love waves in a piezoelectric nanofilm bonded on a semi-infinite elastic substrate

Numerical analysis of deteriorated sub-sea pipelines under environmental loads

Influence of non-smooth surface on tribological properties of glass fiber-epoxy resin composite sliding against stainless steel under natural seawater lubrication

Parametric analysis of the end face engagement worm gear

Optimum weight design of functionally graded material gears

Statistical modification analysis of helical planetary gears based on response surface method and Monte Carlo simulation

Singularity analysis of a 3-RPS parallel manipulator using geometric algebra

Fuzzy theory based control method for an in-pipe robot to move in variable resistance environment

Propagation of electromagnetic wave in coaxial conical transverse electromagnetic wave cell

Bayesian reliability modeling and assessment solution for NC machine tools under small-sample data

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

Feature selection by merging sequential bidirectional search into relevance vector machine in condition monitoring

Quantitative diagnosis of fault severity trend of rolling element bearings

Fluid-structure interaction analysis and lifetime estimation of a natural gas pipeline centrifugal compressor under near-choke and near-surge conditions

Motion stability analysis of non-sinusoidal oscillation of mold driven by servomotor

Nonlinear resonance of the rotating circular plate under static loads in magnetic field

Optimization study on a single-cylinder compressed air engine

Chinese Journal of Mechanical Engineering : Volume 28, Issue 5, September 2015

Chinese Journal of Mechanical Engineering : Volume 28, Issue 4, July 2015

Chinese Journal of Mechanical Engineering : Volume 28, Issue 3, May 2015

Chinese Journal of Mechanical Engineering : Volume 28, Issue 2, March 2015

Chinese Journal of Mechanical Engineering : Volume 28, Issue 1, January 2015

Chinese Journal of Mechanical Engineering : Volume 27

Chinese Journal of Mechanical Engineering : Volume 26

Chinese Journal of Mechanical Engineering : Volume 25

Quantitative diagnosis of fault severity trend of rolling element bearings

Content Provider	Springer Nature Link
Author	Cui, Lingli Ma, Chunqing Zhang, Feibin Wang, Huaqing
Copyright Year	2015
Abstract	The condition monitoring and fault diagnosis of rolling element bearings are particularly crucial in rotating mechanical applications in industry. A bearing fault signal contains information not only about fault condition and fault type but also the severity of the fault. This means fault severity quantitative analysis is one of most active and valid ways to realize proper maintenance decision. Aiming at the deficiency of the research in bearing single point pitting fault quantitative diagnosis, a new back-propagation neural network method based on wavelet packet decomposition coefficient entropy is proposed. The three levels of wavelet packet coefficient entropy(WPCE) is introduced as a characteristic input vector to the BPNN. Compared with the wavelet packet decomposition energy ratio input vector, WPCE shows more sensitive in distinguishing from the different fault severity degree of the measured signal. The engineering application results show that the quantitative trend fault diagnosis is realized in the different fault degree of the single point bearing pitting fault. The breakthrough attempt from quantitative to qualitative on the pattern recognition of rolling element bearings fault diagnosis is realized.
Starting Page	1254
Ending Page	1260
Page Count	7
File Format	PDF
ISSN	10009345
Journal	Chinese Journal of Mechanical Engineering
Volume Number	28
Issue Number	6
e-ISSN	21928258
Language	English
Publisher	Chinese Mechanical Engineering Society
Publisher Date	2015-10-05
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	rolling bearing fault quantitative analysis back-propagation neural network wavelet packet coefficient entropy wavelet packet energy ratio 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

Application of Wavelet Packet Sample Entropy in the Forecast of Rolling Element Bearing Fault Trend

Enhanced detection of rolling element bearing fault based on stochastic resonance

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

Feature extraction and recognition for rolling element bearing fault utilizing short-time Fourier transform and non-negative matrix factorization

Improved CICA algorithm used for single channel compound fault diagnosis of rolling bearings

Rolling bearing feature frequency extraction using extreme average envelope decomposition

Rolling Element Bearing Fault Diagnosis Using Complex Gaussian Wavelet

Condition monitoring and fault diagnosis of rolling element bearings based on wavelet energy entropy and SOM

Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy

Quantitative diagnosis of fault severity trend of rolling element bearings

Similar Documents

Application of Wavelet Packet Sample Entropy in the Forecast of Rolling Element Bearing Fault Trend

Enhanced detection of rolling element bearing fault based on stochastic resonance

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

Feature extraction and recognition for rolling element bearing fault utilizing short-time Fourier transform and non-negative matrix factorization

Improved CICA algorithm used for single channel compound fault diagnosis of rolling bearings

Rolling bearing feature frequency extraction using extreme average envelope decomposition

Rolling Element Bearing Fault Diagnosis Using Complex Gaussian Wavelet

Condition monitoring and fault diagnosis of rolling element bearings based on wavelet energy entropy and SOM

Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy

Quantitative diagnosis of fault severity trend of rolling element bearings