About
Contact & Profiles
A5043885252
Research Areas
- Fault Detection and Control Systems
- Statistical and Computational Modeling
- Medical Image Segmentation Techniques
- Advanced Data Processing Techniques
- Blind Source Separation Techniques
- Spectroscopy and Chemometric Analyses
- Occupational Health and Safety Research
- Advanced Algorithms and Applications
- Water Quality Monitoring and Analysis
- Engineering Diagnostics and Reliability
- Neural Networks and Applications
- Risk and Safety Analysis
- Mineral Processing and Grinding
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
- Anomaly Detection Techniques and Applications
University of Electronic Science and Technology of China
2025
University of Leeds
1999-2002
10.1016/s0098-1354(01)00773-6
article
EN
Computers & Chemical Engineering
2002-03-01
10.1007/s00521-024-10934-4
article
EN
other-oa
Neural Computing and Applications
2025-01-06
10.1016/s0098-1354(99)00260-4
article
EN
Computers & Chemical Engineering
1999-07-01
Multivariate time-series (MTS) collected from multiple sensors on industrial pumps often exhibit concept drift and noise contamination due to variable working conditions complex environments. To detect anomalies in such MTS, we propose a novel model called spectral residual with self-attention variational autoencoder (SR-SAVAE). Specifically, the operation is used mitigate drift, while inference combined total variation regularization address issue of contamination. Experimental results...
10.1109/tii.2024.3381790
article
EN
IEEE Transactions on Industrial Informatics
2024-04-09
10.1109/tii.2024.3413952
article
EN
IEEE Transactions on Industrial Informatics
2024-06-24
10.1016/s0956-053x(00)00045-3
article
EN
Waste Management
2000-12-01
10.1016/s0950-4230(02)00027-x
article
EN
Journal of Loss Prevention in the Process Industries
2002-11-01
Coming Soon ...