A5052431331- Fault Detection and Control Systems
- Advanced Statistical Methods and Models
- Advanced Statistical Process Monitoring
- Anomaly Detection Techniques and Applications
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced Data Processing Techniques
- Advanced Neuroimaging Techniques and Applications
- Risk and Safety Analysis
University of Chinese Academy of Sciences
2021-2023
Chinese Academy of Sciences
2023
Institute of High Energy Physics
2023
Shanghai Micro Satellite Engineering Center
2021
Innovation Academy for Microsatellites of Chinese Academy of Sciences
2021
Background Brain MRI scanner variability can introduce bias in measurements. Harmonizing is crucial. Purpose To develop a harmonization method aimed at removing variability, and to evaluate the consistency of results multicenter studies. Study Type Retrospective. Population Multicenter data from 170 healthy participants (males/females = 98/72; age 73.8 ± 7.3) Alzheimer's disease patients 76.2 8.5) were compared with reference another 340 participants. Field Strength/Sequence 3‐T,...
Timely and effective detection of potential incipient faults in satellites plays an important role improving their availability extending service life. In this paper, the problem detecting using projection vector (PV) Kullback-Leibler (KL) divergence is studied context satellites. Under assumption that variables obey a multidimensional Gaussian distribution KL to detect faults, paper models optimum PV for as optimization problem. It proves PVs obtained by principal component analysis (PCA)...
Timely detection and treatment of possible incipient faults in satellites will effectively reduce the damage harm they could cause. Although much work has been done concerning fault problems, related questions about satellite are little addressed. In this paper, a new method was proposed by combining ideas deviation unsupervised methods classification supervised methods. First, uses dynamic linear discriminant analysis (LDA) to find an optimal projection vector that separates in-orbit data...
Detection of faults at the incipient stage is critical to improving availability and continuity satellite services. The application a local optimum projection vector Kullback–Leibler (KL) divergence can improve detection rate faults. However, this suffers from problem high time complexity. We propose decomposing KL in original optimization model applying property generalized Rayleigh quotient reduce Additionally, we establish two distribution models for subfunctions F1(w) F3(w) detect slight...