Sensor fault detection and isolation system for a condensation process

Castro, M.; Escobar, R.F.; Torres, Lizeth; Gómez-Aguilar, J. F.; Hernández, J.A.; Olivares-Peregrino, Víctor Hugo

doi:10.1016/j.isatra.2016.08.004

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…Recently, several industrial applications of observers and Kalman filters for fractional-order systems have been reported. [27][28][29][30][31] The theory of observer-based control for fractional-order systems has already emerged. 32 It is an interesting future problem to discuss the reduced-order LQG/LTR procedure for fractional-order systems.…”

Section: Discussionmentioning

confidence: 99%

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Reduced‐order LQG/LTR procedure for the plant output side

Ishihara

Zheng

2019

Optim Control Appl Methods

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Summary It is commonly believed that reduced‐order observers, including reduced‐order Kalman filters, cannot be used in the loop transfer recovery (LTR) design of the plant output side. In contrast to common understanding, we show that, at least for nonminimum‐phase plants, the reduced‐order Kalman filter can be used in the linear‐quadratic‐Gaussian (LQG)/LTR design of the plant output side with clear meaning in systems theory. The key concept is to regard a reduced‐order Kalman filter as a high‐gain full‐order Kalman filter. For the reduced‐order LQG controller, we examine the asymptotic property achieved by applying the recovery procedure used in the full‐order LQG/LTR design. Using the equivalent full‐order Kalman filter, we find that the sensitivity property of the reduced‐order LQG controller is asymptotically equivalent to that of a high‐gain partial output injection system. Motivated by this result, we propose the reduced‐order LQG/LTR procedure taking the high‐gain partial output injection system as a target. Some target properties are discussed to clarify the difference from the full‐order design. A multivariable design example is presented to show that the procedure provides a systematic design of a reduced‐order controller with optimality consideration.

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Section: Discussionmentioning

confidence: 99%

“…Expression (36) of f (s, ) is almost same as that in the discrete-time case. 23 The main difference from the discrete-time case is the representation of the all-pass factor G a (s) in (27). The details of this difference are omitted.…”

Section: High-gain Partial Output Injectionmentioning

confidence: 99%

Reduced‐order LQG/LTR procedure for the plant output side

Ishihara

Zheng

2019

Optim Control Appl Methods

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“…A proposal for sensor anomaly detection in real time—based on the budding Strong Tracking Filter—is described in Reference [ 20 ]. The work in Reference [ 21 ] presents a sensor Fault Detection and Isolation implementation system for a condensation process, based on a nonlinear model.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries

Casteleiro‐Roca

Calvo-Rolle

Pérez

et al. 2017

Sensors

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This paper presents a new fault detection system in hypnotic sensors used for general anesthesia during surgery. Drug infusion during surgery is based on information received from patient monitoring devices; accordingly, faults in sensor devices can put patient safety at risk. Our research offers a solution to cope with these undesirable scenarios. We focus on the anesthesia process using intravenous propofol as the hypnotic drug and employing a Bispectral Index (BISTM) monitor to estimate the patient’s unconsciousness level. The method developed identifies BIS episodes affected by disturbances during surgery with null clinical value. Thus, the clinician—or the automatic controller—will not take those measures into account to calculate the drug dose. Our method compares the measured BIS signal with expected behavior predicted by the propofol dose provider and the electromyogram (EMG) signal. For the prediction of the BIS signal, a model based on a hybrid intelligent system architecture has been created. The model uses clustering combined with regression techniques. To validate its accuracy, a dataset taken during surgeries with general anesthesia was used. The proposed fault detection method for BIS sensor measures has also been verified using data from real cases. The obtained results prove the method’s effectiveness.

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The DST-O Method for Multiband IIR Filter

Tang

et al. 2022

Circuits Syst Signal Process

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Sensor fault detection and isolation system for a condensation process

Cited by 10 publications

References 15 publications

Reduced‐order LQG/LTR procedure for the plant output side

Reduced‐order LQG/LTR procedure for the plant output side

Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries

The DST-O Method for Multiband IIR Filter

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