Support vector machines based non-contact fault diagnosis system for bearings
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Support vector machines based non-contact fault diagnosis system for bearings
Authors
Keywords
-
Journal
JOURNAL OF INTELLIGENT MANUFACTURING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-11-19
DOI
10.1007/s10845-019-01511-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Artificial intelligence for fault diagnosis of rotating machinery: A review
- (2018) Ruonan Liu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Condition Monitoring and Fault Diagnosis of Induction Motors: A Review
- (2018) Anurag Choudhary et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings using Deep Neural Networks
- (2018) Min Xia et al. IEEE Transactions on Industrial Informatics
- Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation
- (2018) Xiang Li et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Fault diagnosis of single-phase induction motor based on acoustic signals
- (2018) Adam Glowacz MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Broken Bar Fault Detection in Induction Motor by Using Optical Fiber Strain Sensors
- (2017) Kleiton Morais Sousa et al. IEEE SENSORS JOURNAL
- Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine algorithms
- (2017) Purushottam Gangsar et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Condition Monitoring Parameters for Fault Diagnosis of Fixed Axis Gearbox: A Review
- (2016) Deepam Goyal et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model
- (2016) Mitchell Yuwono et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Induction Motors Vibration Monitoring Using a Biaxial Optical Fiber Accelerometer
- (2016) Rafael Pomorski Linessio et al. IEEE SENSORS JOURNAL
- Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
- (2016) Jing Tian et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Development of non-contact structural health monitoring system for machine tools
- (2016) Deepam Goyal et al. Journal of Applied Research and Technology
- Detection and diagnosis of bearing faults using shift-invariant dictionary learning and hidden Markov model
- (2016) Haitao Zhou et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Optimization of condition-based maintenance using soft computing
- (2016) Deepam Goyal et al. NEURAL COMPUTING & APPLICATIONS
- Feature vector regression with efficient hyperparameters tuning and geometric interpretation
- (2016) Jie Liu et al. NEUROCOMPUTING
- Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
- (2015) Jaouher Ben Ali et al. APPLIED ACOUSTICS
- The Vibration Monitoring Methods and Signal Processing Techniques for Structural Health Monitoring: A Review
- (2015) D. Goyal et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Thermal image based fault diagnosis for rotating machinery
- (2015) Olivier Janssens et al. INFRARED PHYSICS & TECHNOLOGY
- Application of higher order spectral features and support vector machines for bearing faults classification
- (2015) Lotfi Saidi et al. ISA TRANSACTIONS
- Machinery condition prediction based on wavelet and support vector machine
- (2015) Shujie Liu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Fault diagnosis of rotating machine by thermography method on support vector machine
- (2014) Gang-Min Lim et al. Journal of Mechanical Science and Technology
- Multi-Scale Analysis Based Ball Bearing Defect Diagnostics Using Mahalanobis Distance and Support Vector Machine
- (2013) Shuen-De Wu et al. Entropy
- Multi-fault diagnosis study on roller bearing based on multi-kernel support vector machine with chaotic particle swarm optimization
- (2013) Fafa Chen et al. MEASUREMENT
- Fault diagnosis of rolling bearings based on multifractal detrended fluctuation analysis and Mahalanobis distance criterion
- (2013) Jinshan Lin et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network
- (2012) Zhenyou Zhang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs)
- (2011) P. Konar et al. APPLIED SOFT COMPUTING
- Intelligent fault diagnosis of rotating machinery using infrared thermal image
- (2011) Ali M.D. Younus et al. EXPERT SYSTEMS WITH APPLICATIONS
- Fault diagnosis of ball bearings using machine learning methods
- (2010) P.K. Kankar et al. EXPERT SYSTEMS WITH APPLICATIONS
- Mahalanobis Taguchi System (MTS) as a Prognostics Tool for Rolling Element Bearing Failures
- (2010) Ahmet Soylemezoglu et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Health monitoring of electronic products based on Mahalanobis distance and Weibull decision metrics
- (2010) Gang Niu et al. MICROELECTRONICS RELIABILITY
- Development of smart sensors system for machine fault diagnosis
- (2009) Jong-Duk Son et al. EXPERT SYSTEMS WITH APPLICATIONS
- Application of mother wavelet functions for automatic gear and bearing fault diagnosis
- (2009) J. Rafiee et al. EXPERT SYSTEMS WITH APPLICATIONS
- Classification of Induction Machine Faults by Optimal Time–Frequency Representations
- (2008) A. Lebaroud et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics
- (2007) J. Vass et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now