Sub-period division strategies combined with multiway principle component analysis for fault diagnosis on sequence batch reactor of wastewater treatment process in paper mill

2021 ◽  
Vol 146 ◽  
pp. 9-19
Author(s):  
Jing Zhou ◽  
Feini Huang ◽  
Wenhao Shen ◽  
Zhang Liu ◽  
Jean-Pierre Corriou ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Fault Diagnosis ◽  
Principle Component Analysis ◽  
Treatment Process ◽  
Batch Reactor ◽  
Paper Mill ◽  
Component Analysis ◽  
Wastewater Treatment Process ◽  
Principle Component ◽  
Sequence Batch Reactor

A GA-Based Neural Fuzzy System for Modeling a Paper Mill Wastewater Treatment Process

2011 ◽  
Vol 50 (23) ◽  
pp. 13500-13507 ◽  
Author(s):  
Mingzhi Huang ◽  
Jinquan Wan ◽  
Yongwen Ma ◽  
Huiping Zhang ◽  
Yan Wang ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Fuzzy System ◽  
Treatment Process ◽  
Paper Mill ◽  
Wastewater Treatment Process ◽  
Paper Mill Wastewater ◽  
Neural Fuzzy

scholarly journals Development of a cost-effective wastewater treatment process: combination of different process

2021 ◽  
Vol 233 ◽  
pp. 01106
Author(s):  
Song Du ◽  
Wenbiao Jin
Keyword(s):  
Wastewater Treatment ◽  
Catalytic Oxidation ◽  
Treatment Process ◽  
Batch Reactor ◽  
Oxygen Demand ◽  
Cost Effective ◽  
Fenton Oxidation ◽  
Wastewater Treatment Process ◽  
Combination Process ◽  
Electro Catalytic Oxidation

Caprolactam wastewater produced by the production process of caprolactam is characterized by a very high toxicity and chemical oxygen demand (COD) values, having potential harm to the environment if treated improperly. However, these characteristics make caprolactam wastewaters difficult to treat using traditional methods. So the aim of this work was to develop a cost-effective caprolactam wastewater treatment process. Fenton oxidation, sequencing batch reactor activated sludge process (SBR) and electro-catalytic oxidation were proposed to treat caprolactam wastewater in the laboratory scale, and the treatment effects were investigated. Compared with Fenton oxidation, SBR and electro-catalytic oxidation can treat caprolactam wastewater at a lower cost and more efficiently. The pilot test results indicate that the COD can be decreased to less than 1000 mg/L by the combination process, and when the COD removal rates maintain 90%, the cost of caprolactam wastewater treatment is below 6 yuan/m3. The combination process showed better economic benefit.

MODELLING WASTEWATER TREATMENT PROCESS IN A SMALL PLANT USING A SEQUENCING BATCH REACTOR (SBR)

2014 ◽  
Vol 13 (7) ◽  
pp. 1561-1566 ◽  
Author(s):  
Narcis Barsan ◽  
Ion Joita ◽  
Marius Stanila ◽  
Cristian Radu ◽  
Mihaela Dascalu
Keyword(s):  
Wastewater Treatment ◽  
Sequencing Batch Reactor ◽  
Treatment Process ◽  
Batch Reactor ◽  
Wastewater Treatment Process ◽  
Small Plant

scholarly journals Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoming Xu ◽  
Chenglin Wen
Keyword(s):  
Fault Diagnosis ◽  
Principal Components ◽  
Information Entropy ◽  
Principle Component Analysis ◽  
Information Gain ◽  
Principal Component ◽  
Component Analysis ◽  
Principle Component ◽  
Original Dataset ◽  
Diagnosis Method

In traditional principle component analysis (PCA), because of the neglect of the dimensions influence between different variables in the system, the selected principal components (PCs) often fail to be representative. While the relative transformation PCA is able to solve the above problem, it is not easy to calculate the weight for each characteristic variable. In order to solve it, this paper proposes a kind of fault diagnosis method based on information entropy and Relative Principle Component Analysis. Firstly, the algorithm calculates the information entropy for each characteristic variable in the original dataset based on the information gain algorithm. Secondly, it standardizes every variable’s dimension in the dataset. And, then, according to the information entropy, it allocates the weight for each standardized characteristic variable. Finally, it utilizes the relative-principal-components model established for fault diagnosis. Furthermore, the simulation experiments based on Tennessee Eastman process and Wine datasets demonstrate the feasibility and effectiveness of the new method.

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