32 citations · 47 across the 7 of their papers we have counts for
7 papers
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis
Zixuan Wang, Haoran Tang, Haibo Wang +4
Despite the remarkable results that can be achieved by data-driven intelligent fault diagnosis techniques, they presuppose the same distribution of training and test data as well a…
Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis
Zixuan Wang, Bo Qin, Mengxuan Li +4
The efficient utilization of wind power by wind turbines relies on the ability of their pitch systems to adjust blade pitch angles in response to varying wind speeds. However, the…
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding
Xiaoyue Li, Kai Shang, Gaoang Wang +1
Reducing the radiation dose in computed tomography (CT) is important to mitigate radiation-induced risks. One option is to employ a well-trained model to compensate for incomplete…
Spatial-temporal switching estimators for imaging locally concentrated dynamics
Parisa Karimi, Mark Butala, Zhizhen Zhao +1
The evolution of images with physics-based dynamics is often spatially localized and nonlinear. A switching linear dynamic system (SLDS) is a natural model under which to pose such…
Quantification of mismatch error in randomly switching linear state-space models
Parisa Karimi, Zhizhen Zhao, Mark Butala +1
Switching Kalman Filters (SKF) are well known for their ability to solve the piecewise linear dynamic system estimation problem using the standard Kalman Filter (KF). Practical SKF…
Efficient model selection in switching linear dynamic systems by graph clustering
Parisa Karimi, Mark Butala, Zhizhen Zhao +1
The computation required for a switching Kalman Filter (SKF) increases exponentially with the number of system operation modes. In this paper, a computationally tractable graph rep…
Time-Dependent Reconstruction of Non-Stationary Objects with Tomographic or Interferometric Measurements
R. A. Frazin, M. D. Butala, A. Kemball +1
In a number of astrophysical applications one tries to determine the two-dimensional or three-dimensional structure of an object from a time series of measurements. While most meth…