scholarly journals Identification of Unknown Abnormal Conditions in Catalytic Cracking Process Based on Two-Step Clustering Analysis and Signed Directed Graph

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 2055
Author(s):  
Juan Hong ◽  
Jian Qu ◽  
Wende Tian ◽  
Zhe Cui ◽  
Zijian Liu ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Directed Graph ◽  
Working Conditions ◽  
Industrial Production ◽  
Clustering Analysis ◽  
Catalytic Cracking ◽  
Mutual Influence ◽  
Identification Method ◽  
Signed Directed Graph ◽  
Cracking Process

There are many unknown abnormal working conditions in industrial production. It is difficult to identify unknown abnormal working conditions because there are few relative sample and experience in this field. To solve this problem, a new identification method combining two-step clustering analysis and signed directed graph (TSCA-SDG) is proposed. Firstly, through correlation analysis and R-type clustering analysis, the variables are effectively selected and extracted. Then, a two-step clustering analysis was carried out on the selected variables to obtain the cluster results. Through the establishment of the signed directed graph (SDG) model, the causes of abnormal working conditions and their mutual influence are deduced from the mechanism. The application of the TSCA-SDG method in the catalytic cracking process shows that this method has good performance for abnormal condition identification.

scholarly journals A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 229
Author(s):  
Wende Tian ◽  
Shifa Zhang ◽  
Zhe Cui ◽  
Zijian Liu ◽  
Shaochen Wang ◽  
...  
Keyword(s):  
Directed Graph ◽  
Process Simulation ◽  
Expert Knowledge ◽  
Dynamic Mechanism ◽  
Fault Identification ◽  
Mechanism Analysis ◽  
Distillation Process ◽  
Complex Network Theory ◽  
Identification Method ◽  
Signed Directed Graph

Due to the complexity of materials and energy cycles, the distillation system has numerous working conditions difficult to troubleshoot in time. To address the problem, a novel DMA-SDG fault identification method that combines dynamic mechanism analysis based on process simulation and signed directed graph is proposed for the distillation process. Firstly, dynamic simulation is employed to build a mechanism model to provide the potential relationships between variables. Secondly, sensitivity analysis and dynamic mechanism analysis in process simulation are introduced to the SDG model to improve the completeness of this model based on expert knowledge. Finally, a quantitative analysis based on complex network theory is used to select the most important nodes in SDG model for identifying the severe malfunctions. The application of DMA-SDG method in a benzene-toluene-xylene (BTX) hydrogenation prefractionation system shows sound fault identification performance.

A Fault Diagnosis Method Based on Signed Directed Graph and Correlation Analysis for Nuclear Power Plants

2020 ◽  
Author(s):  
Chongchong Liu ◽  
Guohua Wu ◽  
Congsong Yang ◽  
Yunwen Li ◽  
Qian Wu
Keyword(s):  
Quantitative Analysis ◽  
Correlation Analysis ◽  
Directed Graph ◽  
Nuclear Power ◽  
Power Plants ◽  
Fault Detection And Diagnosis ◽  
Analysis Method ◽  
Basis Matrix ◽  
Signed Directed Graph ◽  
Correlation Analysis Method

Abstract Fault detection and diagnosis (FDD) provides safety alarms and diagnostic functions for a nuclear power plant (NPP), which comprises large and complex systems. NPP has a large number of parameters which make it difficult achieve FDD. Now many diagnosis methods have lack of better explanation for faults and quantitative analysis. Therefore, to overcome the “black box” of FDD based on data-driven methods, this paper adopts signed directed graph (SDG) in knowledge graph for FDD. It can express the cause and effect of accidents through knowledge maps. At same time, this paper uses correlation analysis to conduct a quantitative analysis between parameters and faults. It this paper, SDG is used to explain the reason of faults. In order to quickly achieve FDD, this paper introduces a quantitative analysis method. It combines expert system and correlation analysis method to analyze the weight of each parameter. On this basis, matrix reasoning is used to achieve the FDD, and the reason is shown in SDG model inference. This paper takes loss of coolant accident as the case study, the case shows that the proposed method is superior to the conventional SDG method and can diagnose the faults timely.

Five-Lump Kinetic Model for the Catalytic Cracking Process\

2018 ◽  
Vol 69 (10) ◽  
pp. 2633-2637
Author(s):  
Raluca Dragomir ◽  
Paul Rosca ◽  
Cristina Popa
Keyword(s):  
Kinetic Model ◽  
Programming Language ◽  
Catalytic Cracking ◽  
Computational Method ◽  
Industrial Data ◽  
New Model ◽  
Optimization And Control ◽  
Cracking Process ◽  
And Control ◽  
Matlab Programming

The main objectives of the present paper are to adaptation the five-kinetic model of the catalytic cracking process and simulation the riser to predicts the FCC products yields when one of the major input variable of the process is change. The simulation and adaptation are based on the industrial data from Romanian refinery. The adaptation is realize using a computational method from Optimization Toolbox from Matlab programming language. The new model can be used for optimization and control of FCC riser.

Combined mild hydrocracking and fluid catalytic cracking process for efficient conversion of light cycle oil into high-quality gasoline

Fuel ◽  
2021 ◽  
Vol 292 ◽  
pp. 120364
Author(s):  
Peipei Miao ◽  
Xiaolin Zhu ◽  
Yangling Guo ◽  
Jie Miao ◽  
Mengyun Yu ◽  
...  
Keyword(s):  
Catalytic Cracking ◽  
Fluid Catalytic Cracking ◽  
Light Cycle ◽  
High Quality ◽  
Light Cycle Oil ◽  
Efficient Conversion ◽  
Cycle Oil ◽  
Cracking Process

scholarly journals Problems of an Ergonomic Approach to the Design of a Uniform Medical Suit

2021 ◽  
Vol 12 (2) ◽  
pp. 184
Author(s):  
Venera M. Yumagulova ◽  
Elmira G. Akhmetshina ◽  
Gulnaz R. Ahmetshina
Keyword(s):  
Comparative Analysis ◽  
Working Conditions ◽  
Industrial Production ◽  
Information Source ◽  
Design Solution ◽  
Project Analysis ◽  
New Models ◽  
Design Documentation ◽  
Object Of Study ◽  
Practical Recommendations

The article presents the research in the design of a uniform medical suit and methods of implementing ergonomic requirements in the process of solving problems. The authors have chosen special uniforms for surgeons as an object of study and analysis. As a result of comparative analysis, it is noted that currently, the assortment does not meet consumer needs since many manufacturers do not attach much importance to the ergonomic requirements. The current domestic standards and regulatory and technical documents also do not always take into account the specialization and working conditions of a specialist. In the course of targeted research, the whole range of issues related to the pre-project analysis of the situation was resolved, the sequence of development of the design solution was indicated. The authors have given specific practical recommendations for the preparation of design documentation for a new model of a women's surgical blouse. The developed design documentation can serve as an information source when launching new models into industrial production since it is designed to meet the requirements for the ergonomics of surgeons.

Two-Step Process Identification With Correlation Analysis and Least-Squares Parameter Estimation

1974 ◽  
Vol 96 (4) ◽  
pp. 426-432 ◽  
Author(s):  
R. Isermann ◽  
U. Bauer
Keyword(s):  
Correlation Analysis ◽  
Process Model ◽  
A Priori ◽  
Industrial Process ◽  
Computation Time ◽  
Small Computer ◽  
Nonparametric Model ◽  
Identification Method ◽  
On Line ◽  
Process Computer

An identification method is described which first identifies a linear nonparametric model (crosscorrelation function, impulse response) by correlation analysis and then estimates the parameters of a parametric model (discrete transfer function) and also includes a method for the detection of the model order and the time delay. The performance, the computational expense and the overall reliability of this method is compared with five other identification methods. This two-step identification method, which can be applied off-line or on-line, is especially suited to identification by process computers, since it has the properties: Little a priori knowledge about the structure of the process model; very short computation time; small computer storage; no initial values of matrices and parameters are necessary and no divergence is possible for the on-line version. Results of an on-line identification of an industrial process with a process computer are shown.

Fundamental study of hierarchical millisecond gas-phase catalytic cracking process for enhancing the production of light olefins from vacuum residue

Fuel ◽  
2019 ◽  
Vol 237 ◽  
pp. 1-9 ◽  
Author(s):  
Yuanjun Che ◽  
Meng Yuan ◽  
Yingyun Qiao ◽  
Qin Liu ◽  
Jinhong Zhang ◽  
...  
Keyword(s):  
Gas Phase ◽  
Catalytic Cracking ◽  
Light Olefins ◽  
Vacuum Residue ◽  
Fundamental Study ◽  
Cracking Process
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