A5024155926- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Hydraulic and Pneumatic Systems
- Neural Networks and Applications
- AI in cancer detection
- Cell Image Analysis Techniques
- Advanced Sensor and Control Systems
- Radiomics and Machine Learning in Medical Imaging
- Advanced Control Systems Design
- Sensorless Control of Electric Motors
Sichuan Conservatory of Music
2023-2024
Xi'an Jiaotong University
2022
North China Institute of Aerospace Engineering
2021
First Hospital of Qinhuangdao
2019
With the increase in computing power and availability of large amounts data, deep learning techniques, especially convolutional neural networks (CNNS) recurrent (RNNS), have become important tools for processing complex signals. These methods show excellent performance speech recognition, image processing, natural language so on. In this paper, we explore application network (RNN) sequence algorithms field computer digital signal highlighting current artificial intelligence techniques their...
A novel fault diagnosis method is proposed, depending on a cloud service, for the typical faults in hydraulic directional valve. The method, based Machine Learning Service (MLS) HUAWEI CLOUD, achieves accurate of valve by combining both advantages Principal Component Analysis (PCA) dimensionality reduction and eXtreme Gradient Boosting (XGBoost) algorithm. First, to obtain principal component feature set pressure signal, PCA was utilized reduce dimension measured inlet outlet signals Second,...
The traditional diagnosis model of tumor pathology depends on the experience doctor, which is inevitably subjective. With rapid development modern medical imaging, imaging technology has formed a system composed UI, CT, CR, DR, MRI, PET, PET-CT, digital subtraction angiography and PACS by single ordinary X-ray angiography. continuous enrichment changed from "auxiliary examination means" to most important clinical differential method in medicine. application scan sections clinicopathology,...
In order to solve parameter fluctuations and disturbances, a novel fractional model reference adaptive speed observer that estimates the rotor position angular velocity from stator currents is proposed for sensorless control of permanent-magnet synchronous motors (PMSM). Firstly, controller (FOMRAC) identification designed achieve fast response high precise load torque in full range when motor running at variable-speed or variable-load. Additionally, an appropriate adjustable matrix P chosen...
Aiming at fault diagnosis of axial piston pumps, a new fusion method based on the extreme‐point symmetric mode decomposition (ESMD) and random forests (RFs) was proposed. Firstly, vibration signal pump decomposed by ESMD to get several intrinsic functions (IMFs) an adaptive global mean curve (AGMC) local side. Secondly, total energy selected as data feature extraction analyzing whole oscillation intensity signal. Thirdly, were preprocessed labels set, then, they adopted training testing set...