Instrumentation Design and Upgrade for Principal Components Analysis Monitoring

Musulin, Estanislao; Bagajewicz, Miguel J.; Nougués, José María; Puigjaner, Luís

doi:10.1021/ie030607z

Cited by 23 publications

(39 citation statements)

References 26 publications

(50 reference statements)

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“…Following this analysis, the efficiency and controllability of the system in two operating points for a determined net power is studied in [40]: one point corresponding to the minimum current necessary to obtain the required power and the other with a greater current. A conflict between controllability and efficiency was found.…”

Section: System Controllabilitymentioning

confidence: 99%

“…Many authors have studied the modeling approach based on equivalent electrical circuits, consisting of an arrangement of different electrical components to have the same frequency response as that obtained by electrochemical impedance spectroscopy tests [37][38][39][40]. Some works present equivalent circuits using electrical elements, such as resistances, capacitances or inductance.…”

Section: Modeling Of Polymer Electrolyte Membrane Fuel Cell Systemsmentioning

confidence: 99%

“…Other research areas are centered in the evaluation of unconventional reactors such as microreactors [39], monolithic [40,41] or membrane reactors [42].…”

Section: Reactionmentioning

confidence: 99%

“…where the additional control loops are (40) if a diagonal tuning is considered for τ f 1 , τ f 4 and τ f 6 . Note, that the g − i j (s) components are the invertible part of g i j (s).…”

Section: −33%mentioning

confidence: 99%

See 3 more Smart Citations

PEM Fuel Cells with Bio-Ethanol Processor Systems

Basualdo¹,

Feroldi²,

Outbib³

2012

Green Energy and Technology

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Section: System Controllabilitymentioning

confidence: 99%

Section: Modeling Of Polymer Electrolyte Membrane Fuel Cell Systemsmentioning

confidence: 99%

“…Other research areas are centered in the evaluation of unconventional reactors such as microreactors [39], monolithic [40,41] or membrane reactors [42].…”

Section: Reactionmentioning

confidence: 99%

Section: −33%mentioning

confidence: 99%

See 2 more Smart Citations

PEM Fuel Cells with Bio-Ethanol Processor Systems

Basualdo¹,

Feroldi²,

Outbib³

2012

Green Energy and Technology

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“…Another related context is the design of sensor networks and optimal sensor placement. The main objective here is to select the locations for sensors so as to achieve maximum estimation accuracy [3], or minimum capital cost [4], or both [5], or to maximize the fault detection performance [6]. This paper focuses on the context of PCA based process monitoring.…”

Section: Introductionmentioning

confidence: 99%

An inseparability metric to identify a small number of key variables for improved process monitoring

Ghosh

2013

2013 IEEE International Conference on Control Applications (CCA)

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In a large-scale complex chemical process, hundreds of variables are measured. Since statistical process monitoring techniques such as PCA typically involve dimensionality reduction, all measured variables are often provided as input without pre-selection of variables. In our previous work [1], we demonstrated that reduced models based on only a small number of important variables, called key variables, which contain useful information about a fault, can significantly improve performance. This set of key variables is fault specific. In this paper, we propose a metric to identify the key variables of a fault. The metric measures the extent of inseparability in the subspace of a variable subset and thus, provides a reasonable estimate of the monitoring performance for a subset of variables. The excellent ability of the proposed metric in identifying the right key variables is demonstrated through the benchmark Tennessee Eastman Challenge problem.

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Fault‐tolerant control of nonlinear process systems subject to sensor faults

et al. 2007

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in Wiley InterScience (www.interscience.wiley.com).The problem of control of nonlinear process systems subject to input constraints and sensor faults (complete failure or intermittent unavailability of measurements) is considered. A fault-tolerant controller is designed that utilizes reconfiguration (switching to an alternate control configuration) in a way that accounts for the process nonlinearity, the presence of constraints and the occurrence of sensor faults. To clearly illustrate the importance of accounting for the presence of input constraints, first the problem of sensor faults that necessitate sensor recovery to maintain closed-loop stability is considered. We address the problem of determining, based on stability region characterizations for the candidate control configurations, which control configuration should be activated (reactivating the primary control configuration may not preserve stability) after the sensor is rectified. We then consider the problem of asynchronous measurements, that is of intermittent unavailability of measurements. To address this problem, the stability region (that is, the set of initial conditions starting from where closed-loop stabilization under continuous availability of measurements is guaranteed), as well as the maximum allowable data loss rate which preserves closed-loop stability for the primary and the candidate backup configurations are computed. This characterization is utilized in identifying the occurrence of a destabilizing sensor fault, and in activating a suitable backup configuration that preserves closed-loop stability. The proposed method is illustrated using a chemical process example and demonstrated via application to a polyethylene reactor.

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Instrumentation Design and Upgrade for Principal Components Analysis Monitoring

Cited by 23 publications

References 26 publications

PEM Fuel Cells with Bio-Ethanol Processor Systems

PEM Fuel Cells with Bio-Ethanol Processor Systems

An inseparability metric to identify a small number of key variables for improved process monitoring

Fault‐tolerant control of nonlinear process systems subject to sensor faults

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