Sensors incipient fault detection and isolation of nuclear power plant using extended Kalman filter and Kullback–Leibler divergence

Gautam, Suryakant; Tamboli, Prakash Kumar; Roy, Kallol; Patankar, V. H.; Duttagupta, Siddhartha P.

doi:10.1016/j.isatra.2019.02.011

Cited by 34 publications

(12 citation statements)

References 25 publications

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“…A general design proceedure of the UIO can be found in the supplementary document. Now, to design robust UIOEFIR, consider the sensor fault dynamics is expressed by (2) [25,34]…”

Section: Design Procedures Of Uioefir Estimatormentioning

confidence: 99%

“…ii) Error signal generation: The sensor FDI and the control error generation module takes y k (i) from the tracking sensor i and Res j k . We define the i th state tracking error and associated estimator tracking error as (25).…”

Section: Applying Uioefir In Sensor Fault-tolerant Tracking Controlmentioning

confidence: 99%

“…The proposed estimators and the sensor FTC architecture were designed and evaluated in Matlab/Simulink environment with the sampling time: τ = 0.001s. Results are compared with the well-known unknown-input-observer embedded extended Kalman filter (UIOEKF) [25,26]. Similar sensor FTC architecture was retained by designing the estimators: UIOEKF pos and UIOEKF pr.…”

Section: Performance Analysis and Case Studiesmentioning

confidence: 99%

“…Surely, in the unconstrained environment definition, it is a challenge to estimate individual system state and fault characteristics with defective sensor outputs. To tackle noise-related problems, a nonlinear version of the Kalman filter (KF), the so-called extended Kalman filter (EKF), has been a popular tool for process fault diagnosis applications, including the EHA [24,25]. Recently, the UIO adapted modified KF/EKFs was proposed in various fault detection, diagnosis and state estimation applications [26,27].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

Nahian

Dinh

Dao

et al. 2020

IEEE/ASME Trans. Mechatron.

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“…A general design proceedure of the UIO can be found in the supplementary document. Now, to design robust UIOEFIR, consider the sensor fault dynamics is expressed by (2) [25,34]…”

Section: Design Procedures Of Uioefir Estimatormentioning

confidence: 99%

Section: Applying Uioefir In Sensor Fault-tolerant Tracking Controlmentioning

confidence: 99%

Section: Performance Analysis and Case Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

Nahian

Dinh

Dao

et al. 2020

IEEE/ASME Trans. Mechatron.

View full text Add to dashboard Cite

show abstract

“…Xie et al proposed detecting incipient fault conditions in complex dynamic systems using the Kullback‐Leibler divergence. Gautam et al proposed a new method to detect and isolate sensor incipient fault using extended Kalman filter and Kullback‐Leibler divergence. Zhao et al proposed a dynamic distributed monitoring strategy for large‐scale nonstationary processes under closed‐loop control, which can separate the dynamic variations from the steady states and monitor concurrently them.…”

Section: Introductionmentioning

confidence: 99%

A new incipient fault monitoring method based on modified principal component analysis

Yang

Wang

Liu

2019

Journal of Chemometrics

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A novel multivariate statistical process monitoring (MSPM) method based on modified principal component analysis (PCA) is proposed to solve the low detection rate problem of incipient fault. In this modified PCA, on the basis of normal PCA model, the columns of loading matrix are reordered by mutual information between different statistic component matrices and training data. Then, instead of cumulative percent variance criterion, the principal component subspace is selected according to the largest mutual information. The selected PC subspace can maximally reflect fault characteristics into a new statistical index. Besides, a detection index based on the sliding average control chart statistic is proposed, which eliminates the effect of noise by proper averaging of the most recent samples, greatly improving the ability and accuracy of fault detection. The case study of a numerical simulation and Tennessee Eastman process shows that the proposed method can effectively detect incipient fault.

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Adaptive event‐triggered fault detection for nonlinear networked systems in finite‐frequency domain under stochastic cyber‐attacks

Zhu

Jiang

Pan

2022

Adaptive Control & Signal

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This article investigates the fault detection problem in finite-frequency domain for a class of nonlinear networked systems under stochastic cyber-attacks.A novel adaptive event-triggered scheme is introduced to mitigate the transmission burden of the network. A unified measurement model is proposed to take the randomly occurring cyber-attacks and the transmission delays into account simultaneously. Under the consideration of fault sensitivity and disturbance robustness, the addressed fault detection problem is converted into an auxiliary H − ∕H ∞ filtering problem by properly augmenting the states of the original system and the fault detection filter. Intensive stochastic analysis is carried out to obtain sufficient conditions for the existence of the desired fault detection filter, and the corresponding optimal filter parameters can be easily derived by solving a convex optimization problem. Finally, an illustrative example is presented to show the effectiveness and applicability of the proposed method.

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Sensors incipient fault detection and isolation of nuclear power plant using extended Kalman filter and Kullback–Leibler divergence

Cited by 34 publications

References 25 publications

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

A new incipient fault monitoring method based on modified principal component analysis

Adaptive event‐triggered fault detection for nonlinear networked systems in finite‐frequency domain under stochastic cyber‐attacks

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