Detection, isolation and identification of multiple actuator and sensor faults in nonlinear dynamic systems: Application to a waste water treatment process

Fragkoulis, Dimitrios G.; Roux, G.; Dahhou, B.

doi:10.1016/j.apm.2010.07.019

Cited by 35 publications

(18 citation statements)

References 18 publications

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“…To isolated, as well as diagnose the fault, by using adaptive diagnostic techniques, a bank of observers proposed in [5] corresponding for all possible faulty models are constructed and extended as below:…”

Section: Fault Diagnosis Observer 1) Observer Designmentioning

confidence: 99%

“…Key references can be found in [4,5,12,15]. In these approaches, model uncertainty or unexpected disturbance are not explicitly considered, while some other results aim at actuator fault detection and isolation as well as robustness to model uncertainties and external disturbance, as in [2,9,11,17].…”

Section: Introductionmentioning

confidence: 99%

“…This paper studies actuator FDD systematically and theoretically, an algorithm is proposed to obtain the size and location of actuator gain faults occurring abruptly or incipiently. An adaptive observer technique developed in [5,14] is extended and applied to intensified continuous heat-exchanger/reactor.…”

Section: Introductionmentioning

confidence: 99%

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Actuator gain fault diagnosis for heat-exchanger/reactor

Li¹,

Dahhou²,

Zhang³

et al. 2015

2015 Chinese Automation Congress (CAC)

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This paper deals with fault detection and diagnosis (FDD) of actuator gain occurring abruptly and incipiently for intensified continuous heat-exchanger/ reactor, meanwhile, occasion whereby system is subjected to either model uncertainties or external disturbance is discussed. The proposed algorithm is based on adaptive updating rules which not only decreases the computational burden, but also gives significantly better parameter identification and robustness properties. Effectiveness of the proposed approach is demonstrated on an intensified HEX reactor developed by the Laboratoire de Génie Chimique (LGCToulouse, France.

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Section: Fault Diagnosis Observer 1) Observer Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Actuator gain fault diagnosis for heat-exchanger/reactor

Li¹,

Dahhou²,

Zhang³

et al. 2015

2015 Chinese Automation Congress (CAC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…We focus on fault isolation and identification. For fault detection, a nominal observer proposed in [3] is used. We consider the fault detection is fast enough, so that the time of occurrence of a fault and the time of beginning of isolation are the same and denoted by .…”

Section: General Description Of Proposed Fdd Schemementioning

confidence: 99%

“…They are mainly divided into modelbased [3,4] and data-based approaches [5][6][7]. Model-based method uses deviations between the measured value and the reference value as an indicator to raise alarm about faults and take action on timely fault diagnosis and correction.…”

Section: Introductionmentioning

confidence: 99%

An Integrated FDD Approach for an Intensified HEX/Reactor

Zhang

Cabassud

et al. 2018

Journal of Control Science and Engineering

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In this paper, a fault detection and diagnosis (FDD) scheme is developed for a class of intensified HEX/reactor, in which faults caused by sensor, actuator, and process are taken into account in the unified framework. By considering overall heat transfer coefficient as a function of fouling and fluid flow rate, a dynamic model which is capable of identifying these two faults simultaneously is derived. Sensor measurements, together with estimation by adaptive high gain observers, are processed, aimed at identifying sensor faults and providing adequate estimation to substitute faulty measurements. Then reliable measurements are fed to several banks of interval filters to generate several banks of residuals; each bank of residuals is sensitive to a particular process parameter/actuator. By evaluating these residuals, process/actuator fault isolation and identification are achieved. The proposed strategy is applied to actual data retrieved from a new intensified heat exchanger reactor. Simulation results confirm the applicability and robustness of the proposed methodology.

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Robust sliding‐mode observer‐based multiple‐fault diagnosis scheme

Gao

Guo

2022

Asian Journal of Control

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In this study, we simultaneously evaluate the multiple‐fault diagnosis problem of a class of Lipschitz nonlinear systems with actuator and sensor faults and unknown input disturbances. A nonsingular system transformation is used to transform the original system into two subsystems for multiple‐fault diagnosis: subsystems 1 and 2. At the system level, two robust sliding‐mode observers (RSMOs) are proposed. An RSMO is designed for subsystem 1 to detect actuator faults subjected to unknown input disturbances, and another RSMO is designed for subsystem 2 to detect sensor faults subjected to actuator faults. At the component level, a bank of RSMOs is proposed to detect and isolate actuators (sensors) with faults using a dedicated observer scheme. The reachability of RSMOs is comprehensively investigated in the estimation error space. Accordingly, the proposed observer parameters are designed as an optimization problem and solved using the linear matrix inequality (LMI) optimization technique. The effectiveness of the proposed multiple‐fault diagnosis scheme was validated through simulations of a modified seventh‐order aircraft system.

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Detection, isolation and identification of multiple actuator and sensor faults in nonlinear dynamic systems: Application to a waste water treatment process

Cited by 35 publications

References 18 publications

Actuator gain fault diagnosis for heat-exchanger/reactor

Actuator gain fault diagnosis for heat-exchanger/reactor

An Integrated FDD Approach for an Intensified HEX/Reactor

Robust sliding‐mode observer‐based multiple‐fault diagnosis scheme

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