Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Discriminant Embedding and Its Variants
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Matching Theory (North-Holland mathematics studies)
Matching Theory (North-Holland mathematics studies)
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis
The Journal of Machine Learning Research
Application of mother wavelet functions for automatic gear and bearing fault diagnosis
Expert Systems with Applications: An International Journal
Feature selection with redundancy-constrained class separability
IEEE Transactions on Neural Networks
Bearing performance degradation assessment using locality preserving projections
Expert Systems with Applications: An International Journal
A novel fault diagnosis system using pattern classification on kernel FDA subspace
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An effective procedure exploiting unlabeled data to build monitoring system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Induction motors bearing fault detection using pattern recognition techniques
Expert Systems with Applications: An International Journal
Efficient and robust feature extraction by maximum margin criterion
IEEE Transactions on Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Rolling element bearings play an important role in ensuring the availability of industrial machines. Unexpected bearing failures in such machines during field operation can lead to machine breakdown, which may have some pretty severe implications. To address such concern, we extend our algorithm for solving trace ratio problem in linear discriminant analysis to diagnose faulty bearings in this paper. Our algorithm is validated by comparison with other state-of art methods based on a UCI data set, and then be extended to rolling element bearing data. Through the construction of feature data set from sensor-based vibration signals of bearing, the fault diagnosis problem is solved as a pattern classification and recognition way. The two-dimensional visualization and classification accuracy of bearing data show that our algorithm is able to recognize different bearing fault categories effectively. Thus, it can be considered as a promising method for fault diagnosis.