A5100444318- Fault Detection and Control Systems
- Control Systems and Identification
- Advanced Statistical Process Monitoring
- Advanced Control Systems Optimization
- Risk and Safety Analysis
- Anomaly Detection Techniques and Applications
- Time Series Analysis and Forecasting
- Building Energy and Comfort Optimization
- Frequency Control in Power Systems
- Structural Health Monitoring Techniques
- Rough Sets and Fuzzy Logic
- Advanced Data Processing Techniques
- Advanced Algorithms and Applications
- Blind Source Separation Techniques
- Iterative Learning Control Systems
- Spectroscopy and Chemometric Analyses
- Advanced Control Systems Design
- Machine Fault Diagnosis Techniques
- Microgrid Control and Optimization
- Hydraulic and Pneumatic Systems
- Advanced Decision-Making Techniques
- Mineral Processing and Grinding
- Power Systems and Renewable Energy
- Advanced Clustering Algorithms Research
- Privacy-Preserving Technologies in Data
Shandong University of Science and Technology
2016-2025
People's Liberation Army No. 150 Hospital
2024
Wuhan Textile University
2022-2023
Beijing Forestry University
2023
Accenture (Switzerland)
2023
State Grid Corporation of China (China)
2021
Nanjing University of Aeronautics and Astronautics
2009-2020
ORCID
2019
China University of Mining and Technology
2017-2019
Zhejiang University of Technology
2018
Alarm systems play critically important roles for the safe and efficient operation of modern industrial plants. However, most existing alarm suffer from poor performance, noticeably having too many alarms to be handled by operators in control rooms. Such overloading is extremely detrimental role played systems. This paper provides an overview Four main causes are identified as culprits overloading, namely, chattering due noise disturbance, variables incorrectly configured, design isolated...
In this paper, a fault-tolerant control scheme is proposed for the rigid spacecraft attitude system subject to external disturbances, multiple uncertainties, and actuator faults. The angular velocity measurement unavailable, which increases complexity of problem. An observer first designed based on super-twisting sliding mode method, can provide accurate estimates in finite time. Then, an adaptive controller neural networks using information from observer. It shown that orientations converge...
The performance of a univariate alarm system can be assessed in many cases by three indices, namely, the false rate (FAR), missed (MAR), and averaged delay (AAD). First, this paper studies definition computation FAR, MAR, AAD for basic mechanism generation solely based on trip point, advanced exploiting on/off delays. Second, systematic design systems is investigated indices tradeoffs among them. require probability density functions (PDFs) process variable normal abnormal conditions. Thus,...
This paper studies the statistical analysis for alarm signals in order to detect whether two are correlated. First, a similarity measurement, namely, Sorgenfrei coefficient, is selected among 22 coefficients binary data literature. The selection based on desired properties associated with specialities of signals. Second, distribution so-called correlation delay shown be indispensable and effective detection correlated alarms. Finally, novel method alarms proposed coefficient delay. Numerical...
The main challenge of attribute reduction in large data applications is to develop a new algorithm deal with large, noisy, and uncertain linking multiple relevant sources, structured or unstructured. This paper proposes efficient layered-coevolution-based attribute-boosted (LCQ-ABR <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">*</sup> ) using adaptive quantum-behavior particle swarm optimization (PSO). First, the quantum rotation angle an...
In gas-to-methanol processes, optimizing multi-energy systems is a critical challenge toward efficient energy allocation. This paper proposes an entropy-based stochastic optimization method for system in process, aiming to achieve optimal allocation of gas, steam, and electricity ensure executability under modeling uncertainties. First, mechanistic models are developed major chemical equipments, including the desulfurization, steam boilers, air separation, syngas compressors. Structural...
In coal chemical industries, the optimal allocation of gas and steam is crucial for enhancing production efficiency maximizing economic returns. This paper proposes an scheduling method using operating zone models entropy weights energy system in a gas-to-methanol process. The first step to develop mechanistic main facilities methanol production, namely desulfurization, air separation, syngas compressors, boilers. A genetic algorithm employed estimate unknown parameters models. These are...
Alarm systems play critically important roles for the safe and efficient operation of industrial plants, but they often suffer from too many nuisance alarms. Deadbands are widely used in alarm to reduce number This paper formulates an index determine whether deadbands suitable removing alarms analog signal, proposes a method design deadband width. First, is defined two metrics, namely, normalized durations deviations. If larger than 45°, as indicated by hypothesis test, then associated with...
This article proposes a new approach to identification of Hammerstein systems, where non-linearity precedes linear dynamic system, driven by piece-wise constant inputs. The proposed does not require an explicit parameterisation the non-linearity. Moreover, have be static, but could one with finite memories like backlash. By exploiting input's piecewise property, denominator system described ARX model is consistently identified from information output only; next, subspace direct equalisation...