Fault detection in semi-batch reactor using the EKF and statistical method

Benkouider, Ali Mustapha; Buvat, Jean-Christophe; Cosmao, J.-M.; Saboni, A.

doi:10.1016/j.jlp.2008.11.006

Cited by 34 publications

(10 citation statements)

References 24 publications

(32 reference statements)

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“…Since it is temperature sensitive, i.e. the conversion rate depends on the operating temperature, this reaction is an ideal candidate for case study [4,[24][25][26][27][28].…”

Section: The Oxidation Reactionmentioning

confidence: 99%

Implementation of ‘chaotic’ advection for viscous fluids in heat exchanger/reactors

Anxionnaz‐Minvielle

Tochon

Couturier

et al. 2017

Chemical Engineering and Processing: Process Intensification

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 17719 A B S T R A C TWhen viscous fluids are involved, laminar hydraulic conditions and heat and mass transfer intensification are conflicting phenomena. A channel geometry based on Split-And-Recombine (SAR) patterns is experimentally investigated. The principle implements the Baker's transformation and 'chaotic' structures are generated to promote heat and mass transfer. This work assesses the energy efficiency of different heat exchanger/reactors integrating these SAR patterns.The heat transfer capacity is assessed and compared with the energy consumption of each mock-up. It is sensitive to the cooling mode and to the number of SAR patterns per length unit as well.The continuous oxidation of sodium thiosulfate with hydrogen peroxide has been implemented. Conversions up to 99% are reached according to the utility fluid temperature and the residence time.Finally, the whole performances of the SAR geometries are compared to a plate-type heat exchanger/ reactor with a corrugated pattern. The more viscous the fluid, the more the energy efficiency of the SAR design increases compared to the corrugated design because of the balance between advection and diffusion mechanisms. The interest in terms of energy efficiency in working with SAR heat exchanger/ reactor appears from Reynolds numbers below 50.

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“…Since it is temperature sensitive, i.e. the conversion rate depends on the operating temperature, this reaction is an ideal candidate for case study [4,[24][25][26][27][28].…”

Section: The Oxidation Reactionmentioning

confidence: 99%

Implementation of ‘chaotic’ advection for viscous fluids in heat exchanger/reactors

Anxionnaz‐Minvielle

Tochon

Couturier

et al. 2017

Chemical Engineering and Processing: Process Intensification

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“…Detecting faults in the processes is used to maintain the process as safe and reliable . We can explain the fault as a form of an allowed error behaviour that produces process malfunction without satisfying the desired goal.…”

Section: Introductionmentioning

confidence: 99%

Monitoring biological processes using univariate statistical process control

Mansouri

Al-Khazraji

Teh³

et al. 2018

Can J Chem Eng

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Biological modelling is a challenging task specifically when state variables are difficult or even impossible to be measured. Consequently, monitoring quality of biological process will be impacted negatively due to the lack of an accurate model capable of reflecting precisely the process dynamics. Moreover, the faults in such systems cannot be detected robustly. The current work proposes a novel approach that combines state estimation with process monitoring techniques. The developed approach, named as particle filter (PF)-based multiscale maximum double exponentially weighted moving average (MS-M-DEWMA) chart, includes two main phases. In the first phase, the PF technique is applied to estimate the unknown nonlinear states of the biological processes. In the second phase, the statistical univariate chart, MS-M-DEWMA is adopted to address fault detection in biological processes. Therefore, in this work, we propose a monitoring approach capable of detecting shifts in mean and/or variance in biological systems (pre-defined structure obtained using material and energy balances) where the variables are estimated using state estimation techniques. The detection chart MS-M-DEWMA is applied to the residuals computed using the PF. The advantages of PF-based MS-M-DEWMA method are threefold: (i) extract features and decorrelate measurements using dynamical multiscale representation; (ii) estimate the state of nonlinear biological processes using the PF technique; and (iii) enhance monitoring of biological processes through detecting shifts of both variance and mean using MS-M-DEWMA chart. The proposed approach is validated using a Cad system in E. coli (CSEC) model.

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“…Detecting faults in the processes is used for maintaining it safe and reliable . We can explain the fault as a form of an allowed error behavior that produces process malfunction without satisfying the desired goal.…”

Section: Introductionmentioning

confidence: 99%

Model‐based and data‐driven with multiscale sum of squares double EWMA control chart for fault detection in biological systems

Mansouri

Harkat

Teh

et al. 2018

Journal of Chemometrics

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The objectives of this paper will be sought. First, an enhanced technique that can accurately model biological processes will be developed. To deal with scenarios where a process model is available, the particle filter method will be developed to better handle the nonlinear and high-dimensional state estimation problem.Second, a multiscale sum of squares double exponentially weighted moving average (MS-SS-DEWMA) chart will be applied to the monitored residuals in order to enhance the fault detection abilities. The advantage of MS-SS-DEWMA chart is twofold: (1) The SS-DEWMA chart uses the sum of squares statistics; it simultaneously monitors the process mean and variance in a single chart. It has presented better performance than the classical EWMA-based charts.(2) The multiscale data representation can be used as an effective tool for reducing noise from a signal's time series. The effectiveness of the proposed strategy is validated using a synthetic and simulated Cad system in Escherichia coli (CSEC) data.When the simulated CSEC model is used, the developed approach is applied for monitoring some of the key variables involved in the CSEC model. The proposed strategy is also applied to detect diseases using genomic copy number data through better detection of aberrations in the genetic information of patients, which can help medical doctors make more accurate diagnosis of diseases.

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Fault detection in semi-batch reactor using the EKF and statistical method

Cited by 34 publications

References 24 publications

Implementation of ‘chaotic’ advection for viscous fluids in heat exchanger/reactors

Implementation of ‘chaotic’ advection for viscous fluids in heat exchanger/reactors

Monitoring biological processes using univariate statistical process control

Model‐based and data‐driven with multiscale sum of squares double EWMA control chart for fault detection in biological systems

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