A sparse loading-based contribution method for multivariate control performance diagnosis

Wang, Kai; Chen, Junghui; Song, Zhihuan

doi:10.1016/j.jprocont.2019.12.001

Cited by 6 publications

(2 citation statements)

References 24 publications

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“…The gas-solid flow structure in a bubbling fluidized bed reactor is generally subdivided into bubble phase and dense phase. According to the principles proposed for bubbling fluidization, [33,34] the dense phase is in initial fluidization state. In this paper, the catalysts concentration in the dense phase was taken as constant.…”

Section: Catalysts Concentration Distribution Of the Commercial Scale Reactormentioning

confidence: 99%

Gas solid contact efficiency of pyridine synthesis reactors

et al. 2021

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The gas phase pyridine synthesis process is usually carried out in a fluidized bed reactor. The contact efficiency between the reactants and the catalysts has great influence on the reactor performance. In this paper, three fluidized bed reactors with different flow patterns were used to investigate the contact efficiency. The superficial contact efficiency index (SCEI) was defined and used in this paper to quantify the contact efficiency inside these reactors. To obtain the values of the SCEI, the ideal reactor model was constructed. The results showed that the SCEI average value decreased as the flow pattern shifted from fast fluidization to bubbling fluidization; these values were 0.86, 0.55, and 0.19 for the fast fluidized bed reactor, turbulent fluidized bed reactor, and bubbling fluidized bed reactor, respectively. An empirical correlation was proposed in this paper to predict the SCEI under different operating conditions. The model prediction results agreed well with experimental results with an average prediction error of 8%.

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Section: Catalysts Concentration Distribution Of the Commercial Scale Reactormentioning

confidence: 99%

Gas solid contact efficiency of pyridine synthesis reactors

et al. 2021

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“…A four-input and four-output system with correlated disturbances is taken from Wang et al (2020) to show the influences of noise and periodicity on TD-CCM. Its transfer function matrix Gðq −1 Þ is For (a) CCM, the horizontal axis and vertical axis stand for the sample length and causality strength, respectively.…”

Section: Adverse Influences Of Noise and Periodicity On Td-ccmmentioning

confidence: 99%

Causality analysis in process control based on denoising and periodicity-removing CCM

Chen

Fei

Xie

et al. 2020

JIMSE

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Purpose1. To improve the causality analysis performance, a novel causality detector based on time-delayed convergent cross mapping (TD-CCM) is proposed in this work. 2. Identify the root cause of plant-wide oscillations in process control system.Design/methodology/approachA novel causality analysis framework is proposed based on denoising and periodicity-removing TD-CCM (time-delayed convergent cross mapping). We first point out that noise and periodicity have adverse effects on causality detection. Then, the empirical mode decomposition (EMD) and detrended fluctuation analysis (FDA) are combined to achieve denoising. The periodicities are effectively removed through singular spectrum analysis (SSA). Following, the TD-CCM can accurately capture the causalities and locate the root cause by analyzing the filtered signals.Findings1. A novel causality detector based on denoising and periodicity-removing time-delayed convergent cross mapping (TD-CCM) is proposed. 2. Simulation studies show that the proposed method is able to improve the causality analysis performance. 3. Industrial case study shows the proposed method can be used to analyze the root cause of plant-wide oscillations in process control system.Originality/value1. A novel causality detector based on denoising and periodicity-removing time-delayed convergent cross mapping (TD-CCM) is proposed. 2. The influences of noise and periodicity on causality analysis are investigated. 3. Simulations and industrial case shows that the proposed method can improve the causality analysis performance and can be used to identify the root cause of plant-wide oscillations in process control system.

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An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties

Wang

2021

Computers & Chemical Engineering

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A sparse loading-based contribution method for multivariate control performance diagnosis

Cited by 6 publications

References 24 publications

Gas solid contact efficiency of pyridine synthesis reactors

Gas solid contact efficiency of pyridine synthesis reactors

Causality analysis in process control based on denoising and periodicity-removing CCM

An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties

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