A5100783074- Fault Detection and Control Systems
- Advanced Battery Technologies Research
- Reliability and Maintenance Optimization
- Machine Fault Diagnosis Techniques
- Advancements in Battery Materials
- Photonic and Optical Devices
- Remote-Sensing Image Classification
- Energy Efficient Wireless Sensor Networks
- Neural Networks and Applications
- Semiconductor Lasers and Optical Devices
- Embedded Systems and FPGA Design
- Advanced Sensor and Control Systems
- Advanced Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Remote Sensing and Land Use
- Advanced Neural Network Applications
- Radiation Effects in Electronics
- Advanced Computational Techniques and Applications
- Blind Source Separation Techniques
- VLSI and Analog Circuit Testing
- Optical Network Technologies
- Sensor Technology and Measurement Systems
- Embedded Systems Design Techniques
- Engineering and Test Systems
- Time Series Analysis and Forecasting
Harbin Institute of Technology
2016-2025
University of Science and Technology Beijing
2024
Nanchang University
2024
Beijing Aerospace Flight Control Center
2023-2024
Dongguan University of Technology
2024
Chongqing University
2021-2024
Shandong University of Technology
2010-2023
China National Petroleum Corporation (China)
2023
Shanghai University
2019-2023
Northwest University
2010-2023
Cyber-physical systems U+0028 CPS U+0029 are complex with organic integration and in-depth collaboration of computation, communications control 3C technology. Subject to the theory technology existing network physical systems, development is facing enormous challenges. This paper first introduces concept characteristics analyzes present situation researches. Then discussed from perspectives system model, information processing software design. At last it main obstacles key researches in...
Prognostics and remaining useful life (RUL) estimation for lithium-ion batteries play an important role in intelligent battery management systems (BMS). The capacity is often used as the fade indicator estimating cycle of a battery. For spacecraft requiring high reliability long lifetime, in-orbit RUL verification on ground should be carefully addressed. However, it quite challenging to monitor estimate on-line satellite applications. In this work, novel health (HI) extracted from operating...
Lithium-ion batteries have become the third-generation space and are widely utilized in a series of spacecraft. Remaining Useful Life (RUL) estimation is essential to spacecraft as battery critical part determines lifetime reliability. The Relevance Vector Machine (RVM) data-driven algorithm used estimate battery's RUL due its sparse feature uncertainty management capability. Especially, some regressive cases indicate that RVM can obtain better short-term prediction performance rather than...
As one of the key functions in lithium-ion battery management system, state-of-health (SOH) estimation is great significance to ensure safe and reliable operation reduce maintenance cost energy storage system. Unscented particle filter (UPF) algorithm becoming a promising method for state since it combines latest measurement information give proposal distribution which closer true posterior distribution. At same time, UPF able represent uncertainty involved results, makes SOH estimation. On...
With the wide applications of unmanned aerial vehicle (UAV), operating safety becomes a critical issue. Thus, fault detection (FD) has been focused, which can realize alarm and schedule maintenance in time. Since accurate physical model UAV is usually difficult to obtain flight data with random noise both spatial temporal correlation, huge challenge posed FD. In this article, data-driven multivariate regression approach based on long short-term memory residual filtering (LSTM-RF) proposed...
Hyperspectral image (HSI) based detection has attracted considerable attention recently in agriculture, environmental protection and military applications as different wavelengths of light can be advantageously used to discriminate types objects. Unfortunately, estimating the background distribution interesting local objects is not straightforward, anomaly detectors may give false alarms. In this paper, a Deep Belief Network (DBN) detector proposed. The high-level features reconstruction...
This paper introduces new applications and design trade-offs anticipated for free-space optical interconnections of VLSI chips. New implementations functions are described that use the capability making inputs at any point on a chip take advantage greater flexibility in on-chip signal routing. These include n-port addressable memories, CPU clock phase distribution, hardware multipliers, dynamic memory refresh, as well enhanced testability. Fault tolerance production yields may be improved by...
An approach to estimate the remaining useful life (RUL) by Echo State Network (ESN) is presented, which a new paradigm in recurrent neural network (RNN). ESN randomly establishes large sparse reservoir replace hidden layer of RNN, overcomes shortcomings complicated computing, difficulties determining topology traditional RNN. sub-models strategy composed classified models matching varied training data set retraining and classification explored RUL turbofan engine system. The experimental...
Prognostics and health management (PHM) is being adopted more in the modern engineering systems. As one of most important technologies PHM domain, remaining useful life (RUL) prediction has attracted much attention from researchers scholar industrial field. Although many methods have been proposed to improve result, problem sensor anomaly detection data recovery not considered together. To achieve this object, data-driven RUL framework considering proposed, which expected performance caused...
Lithium-ion battery has been widely applied as an energy storage component in various industrial applications including electric vehicles, distributed grids and space crafts. However, the performance degrades gradually due to SEI growth, li-plating other irreversible electro-chemical reactions. These inevitable reactions directly influence reliability of system may further cause catastrophic consequences host system. Remaining useful life (RUL) is one critical indicators evaluate...
Lithium-ion battery packs are critical to ensure the operational reliability and service life of spacecraft. The pack health diagnosis is meaningful for reasonable mission plan proper control actions However, characters space application scenarios include periodic charge discharge, nearly constant discharge current, low electric current rate, fixed depth which bring challenges state-of-health estimation. Considering these characters, this article proposes a approach lithium-ion based on an...