A new fault isolation and identification method for nonlinear dynamic systems: Application to a fermentation process

Li, Zetao; Dahhou, B.

doi:10.1016/j.apm.2007.09.036

Cited by 17 publications

(23 citation statements)

References 29 publications

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“…Comparing the system (1) and the system (4), and according to (10), the left invertible condition for the process subsystem is obtained as: …”

Section: B Process Subsystem Invertibilitymentioning

confidence: 99%

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On the integration of actuator fault detection and isolation in model based fault diagnosis

Sallem¹,

Dahhou²,

Li³

et al. 2014

22nd Mediterranean Conference on Control and Automation

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The main goal of the Fault Detection and Isolation (FDI) is to effectively detect faults and accurately isolate them to a failed component in the shortest time possible. This capability leads to reduction in diagnostic time, therefore, increased the system availability. Also, a good inherent diagnostic of a system enhances the operating system confidence. This paper proposes a new formulation of the linear system to obtain the conditions of the actuator fault detection and isolation. We consider the actuator as a dynamic subsystem connected with the process subystem in a cascade manner and we look for the fault detectability and isolability problems. An example illustrates the performances of such interval observer approach for simple actuator fault diagnosis. In fact two mathematical models are given: a simple model for the actuator subsystem and a continuous time state-space description for the process subsystem of a speed governor for large diesel engines.

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“…Comparing the system (1) and the system (4), and according to (10), the left invertible condition for the process subsystem is obtained as: …”

Section: B Process Subsystem Invertibilitymentioning

confidence: 99%

“…Consequently we get the conditions of fault detectable as follows: The task of fault isolation consists of the determination of the location of fault. Many techniques have been used such as the adaptive observer approach [3], the geometric approach [9], and the interval based approach [10].…”

Section: Fault Detectability Of the Systemmentioning

confidence: 99%

On the integration of actuator fault detection and isolation in model based fault diagnosis

Sallem¹,

Dahhou²,

Li³

et al. 2014

22nd Mediterranean Conference on Control and Automation

Self Cite

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“…The fault is therefore isolated and estimated. We extended the interval determining method proposed in [4] by dividing the bound of each interval according to percentage changes of nominal value, rather than according to specific value of a parameter. By doing so, we not only benefit from more clear relationship between faulty value and nominal value but also decrease the complexity in observer design.…”

Section: Gain Interval Filter Formulation and Fault Isolationmentioning

confidence: 99%

“…In order to achieve process FDD, healthy measurements are fed to banks of extended parameter interval filters developed as in [4] to generate banks of residuals. is corresponding to the total number of process parameters and actuators.…”

Section: Gain Interval Filter Formulation and Fault Isolationmentioning

confidence: 99%

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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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