Nonlinear chemical process monitoring using decentralized kernel principal component analysis and Bayesian inference

Cang, Wentao; Fu, Yujia; Xie, Li; Tao, Hongfeng; Yang, Huizhong

doi:10.1109/ascc.2017.8287393

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Batam City is an island that is very strategically located because it is located on an international shipping lane. [1] [2] The sea area from Batam reaches 1,035.30 km². The economic growth of Batam City is higher than some area in Indonesia.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Analysis For Local Industry Of Gonggong Crackers In Batam

Bora¹,

Jama²,

Syahril³

et al. 2019

Preprint

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This research want to know feasibility for local industry of gonggong crackers in Batam. There is one objective and two hypotheses from thisresearch. The feasibility was reviewed with eight aspect and one of them is financial aspect. This research use questioner and spread to 284 samplefrom Batam residents. To prove the feasibility in the financial aspect we use payback period (PP), net present velue (NPV), profitability index (PI), andinternal rate of return (IRR). The result from this research in financial aspect is feasible. So we suggest to continue this local industry and expand toInternational Market

show abstract

Section: Introductionmentioning

confidence: 99%

Feasibility Analysis For Local Industry Of Gonggong Crackers In Batam

Bora¹,

Jama²,

Syahril³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Cang et al proposed a new block method based on the Spearman rank correlation and the Pearson correlation coefficient, which reduces the need for process knowledge. [35] Li et al and Wu et al divided the system into blocks based on the causal network diagram and the topological structure of the diagram. [36,37] The appealed algorithms only focus on local process information, while ignoring the correlation between blocks.…”

mentioning

confidence: 99%

Mechanistic block‐based attention mechanism stacked autoencoder for describing typical unit connection industrial processes and their monitoring

Wang

Tang

et al. 2023

Can J Chem Eng

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The overall information of a process can be obtained through global modelling, and the local information is easily ignored in the research of the industrial process monitoring of unit connection. Thus, finding the global type of faults is easy, but occurs at the expense of drowning out the local faults. The use of block modelling can highlight local information, thereby improving local fault detection capability. However, the connection information between blocks is usually ignored in block modelling, which makes finding fault classes that only affect the connection relationship between blocks difficult. A mechanistic block‐based attention mechanism stacked autoencoder (MB‐AMSAE) monitoring method is proposed in this paper. The industrial process is divided into several parts in accordance with its mechanistic relationships, and each part represents an independent block. Self‐attention is used to focus on the information of each block itself. Cross‐attention is adopted to focus on the information between blocks, and this information is fused to form new blocks. The new block is used as the feature of the original block, and the original block is reconstructed by using a stacked autoencoder. The corresponding control limit is obtained in accordance with the reconstruction ability of normal samples, and whether the working conditions are normal is judged according to the control limit. The proposed algorithm is used in numerical simulation, Tennessee‐Eastman processes, and is compared with other advanced algorithms based on its fault detection capability. Results show the effectiveness of the MB‐AMSAE algorithm in process monitoring.

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Nonlinear chemical process monitoring using decentralized kernel principal component analysis and Bayesian inference

Cited by 2 publications

References 17 publications

Feasibility Analysis For Local Industry Of Gonggong Crackers In Batam

Feasibility Analysis For Local Industry Of Gonggong Crackers In Batam

Mechanistic block‐based attention mechanism stacked autoencoder for describing typical unit connection industrial processes and their monitoring

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