A5049338460- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Power Systems and Renewable Energy
- Radiomics and Machine Learning in Medical Imaging
- Traffic Prediction and Management Techniques
- Infrared Target Detection Methodologies
- Advanced Algorithms and Applications
- Integrated Circuits and Semiconductor Failure Analysis
- MRI in cancer diagnosis
- Advanced Image Fusion Techniques
- Energy Load and Power Forecasting
- Machine Fault Diagnosis Techniques
- Advanced MRI Techniques and Applications
- Human Mobility and Location-Based Analysis
- E-commerce and Technology Innovations
- Genetic factors in colorectal cancer
- Colorectal Cancer Surgical Treatments
- Wireless Sensor Networks and IoT
- IoT and GPS-based Vehicle Safety Systems
- Remote Sensing and LiDAR Applications
- Non-Destructive Testing Techniques
Hefei University of Technology
2021-2024
Gansu Provincial Hospital
2024
Harbin Huade University
2024
Institute of Electronics
2017
Frequent faults of photovoltaic (PV) modules will affect the power generation efficiency and service life system. In particular, PV module current mismatch cause output to decrease, I-V curve have a step, which seriously even series safety problems. This article focuses on mismatched fault, that is, partial shadow, hot spot, cell cracks. Through field investigation, faulty in multiple plants are collected, characteristics large number tested, fault different type first extracted. A novel...
Mountainous photovoltaic (PV) power plants cover a large area and are distributed dispersedly. The construction surface is complex the slope large. It difficult to find locate faults when dealing with defects. Effective anomaly detection fault location technology can not only improve reliability stability of plant but also reduce operation maintenance costs. Because terrain influence construction, radiation received by each group string at same time point may be different, which brings great...
Motivation: To find an imaging method that can evaluate microsatellite status of colorectal cancer (CRC). Goal(s): investigate the value DCE-MR perfusion parameters and ADC in predicting instability CRC. Approach: parameters, including Ktrans, Ve, kep, iAUC were compared between (MSI) stability (MSS) CRC groups. Receiver operating characteristics (ROC) curve was drawn to diagnostic efficacy. Results: Univariable analysis revealed kep had highest accuracy (AUC, 0.890; sensitivity, 76.4%;...
The complex environment of mountain photovoltaic (PV) power plant brings great challenges to the operation and maintenance plant. In order better realize intelligent PV plant, we propose a method analyze aggregate output curve according temporal spatial correlation. This data pre-method analyzed correlation difference between series current at different dates locations. was reconstructed by multiple fitting K-means clustering, typical day filtered azimuth inclination were divided. It can...