Individual Information
Haijun Wang
Technology Center on Commercial Vehicle, Dongfeng Liuzhou Automobile Limited Company
Educational Qualification
From 09/2010 to 06/2014, School of Mechanical Engineering, Southeast University , China
Research Interests
Mechanical signal feature extraction based on nonnegative tensor factorization.
Fault diagnosis
Work Experience
From 01/2014 to 12/2014, Chief Engineer , Company of Dongfeng liuzhou automobile
Projects
From 09/2010 to 06/2014, Methodlogy of nonnegative tensor factorization for feature extraction
Abstract: the method is used to extract the features from high-orde datasets with the method of nonnegative tensor factorization, which has the advantage of decomposition when the dateset is decomposed. This can help us get the local feature of the multi-way arrays easily.
Selected Publications
From 09/2010 to 06/2014, School of Mechanical Engineering, Southeast University , China
Research Interests
Mechanical signal feature extraction based on nonnegative tensor factorization.
Fault diagnosis
Work Experience
From 01/2014 to 12/2014, Chief Engineer , Company of Dongfeng liuzhou automobile
Projects
From 09/2010 to 06/2014, Methodlogy of nonnegative tensor factorization for feature extraction
Abstract: the method is used to extract the features from high-orde datasets with the method of nonnegative tensor factorization, which has the advantage of decomposition when the dateset is decomposed. This can help us get the local feature of the multi-way arrays easily.
Selected Publications
Journal Articles
Conference Papers
1. |
Research on exponential regularization approach for nonnegative Tucker3 decomposition[J]. Optik, 2013, 124(24): 6615-6621 |
2. |
Bispectrum feature extraction of gearbox faults based on nonnegative Tucker3 decomposition with 3D calculations[J]. Chinese Journal of Mechanical Engineering, 2013, 26(6): 1182-1193. |
3. |
Local hierarchical non-negative tensor factorization and its application in machinery fault diagnosis[J].Journal of Southeast University ( English Edition) ,2011,27 ( 4) : 394-399. |
1. |
Tensor Factorization and Clustering for the Feature Extraction Based on Tucker3 with Updating Core[C]. Advanced Materials Research, 2011(308):2517-2522. |
2. |
Research on nonnegativeTucker3 decomposition in krylov sub-space calculation for feature extraction, AISE 2014,Jan 9,2014, Pucket, Thailand. |