Real-time fault tolerant control of a Reverse Osmosis desalination plant based on a hybrid system approach

Gambier, Adrián; Blumlein, Nikolaus; Badreddin, Essameddin

doi:10.1109/acc.2009.5160684

Cited by 9 publications

(5 citation statements)

References 33 publications

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“…Parameter identification for the real plant is a task to be done because the plant is still not operative. Studies from the control point of view have been presented in [40] and [41] for a simulation model and in [42] and [43] for the real-time control of a small laboratory plant. Moreover, three diploma theses have been concluded in the framework of the project [44][45][46].…”

Section: Some Preliminary Resultsmentioning

confidence: 99%

Optimal systems engineering and control co-design for water and energy production: A European project

Gambier

Wolf

Miksch

et al. 2009

Desalination and Water Treatment

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ab s t r ac tFresh water and energy are essential resources, which have become expensive and scarce. Moreover, their production requires nowadays high technologies and multidisciplinary advanced research. In order to combat this problem, the European Commission supports cooperative research activities in the mentioned areas by means of research grants. Open Gain is a cooperation project financed by the European Commission, whose main objective is to develop optimal systems engineering methods with embedded automation for reverse osmosis desalination plants powered by renewable energies. Thus, the present paper describes objectives, the consortium, work packages and dissemination plan of Open Gain as an example of narrow cooperation between Europe and the Mediterranean Partner Countries (MPC).

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Section: Some Preliminary Resultsmentioning

confidence: 99%

Optimal systems engineering and control co-design for water and energy production: A European project

Gambier

Wolf

Miksch

et al. 2009

Desalination and Water Treatment

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“…Figure 7 shows the diagram of the RO process used to obtain the model. The mathematical modeling of the seawater RO desalination process presented in this section is based on first principles (mass, momentum, and energy balances), as well as on physical and chemical equations [22,27]. These equations have a set of parameters that need to fit in order to describe each specific RO process [22].…”

Section: Modeling Of the Seawater Ro Desalination Processmentioning

confidence: 99%

“…In FDI systems, fault detection decides whether a fault has occurred and fault isolation finds in which component a fault has occurred [19]. The design of FDI systems for ISROD plants is crucial because a successful faults diagnosis can have major economic, social, and safety impacts [21][22][23]. In the last few years, some efforts have been carried out in order to develop FDI systems and fault tolerant control (FTC) for ISROD plants, commonly based on the use of statistical techniques and data-driven approaches; see, e.g., [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…The design of FDI systems for ISROD plants is crucial because a successful faults diagnosis can have major economic, social, and safety impacts [21][22][23]. In the last few years, some efforts have been carried out in order to develop FDI systems and fault tolerant control (FTC) for ISROD plants, commonly based on the use of statistical techniques and data-driven approaches; see, e.g., [22][23][24][25]. However, the design of these systems is a very complex task since the ISROD plants are characterized by having a large amount of interconnected sub-processes and instruments, with coupled variables between them [21].…”

Section: Introductionmentioning

confidence: 99%

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Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant

et al. 2020

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Currently, the use of industrial seawater reverse osmosis desalination (ISROD) plants has increased in popularity in light of the growing global demand for freshwater. In ISROD plants, any fault in the components of their control systems can lead to a plant malfunction, and this condition can originate safety risks, energy waste, as well as affect the quality of freshwater. This paper addresses the design of a fault detection and isolation (FDI) system based on a structural analysis approach for an ISROD plant located in Lima (Peru). Structural analysis allows obtaining a plant model, which is useful to generate diagnostic tests. Here, diagnostic tests via fault-driven minimal structurally overdetermined (FMSO) sets are computed, and then, binary integer linear programming (BILP) is used to select the FMSO sets that guarantee isolation. Simulations shows that all the faults of interest (sensors and actuators faults) are detected and isolated according to the proposed design.

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“…The scarcity of a certain amount of fertile water is increasing, which is essential for life on earth and economic and social development, and environmental sustainability (Gambier, A. et al 2009). Over the last half-century, enormous advances in saltwater desalination and water treatment technologies have arisen.…”

Section: Introductionmentioning

confidence: 99%

Water Desalination Plant Fault Detection using Artificial Neural Network

2022

Global NEST: The International Journal

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<p>Water famine is very cruel. The desalination plant was brought in to alleviate the water shortage. A desalination plant has been set up in many places around the world. In the view of expanding worldwide need of fresh water, the usage of desalination plant becomes more common. There are more than twenty-five thousand desalination plants around the world. Many industries require treated water for production, water treatment, and other functions. Water quality is occasionally insufficient or does not satisfy the quality criteria for manufacturing causes. So, the enterprises utilize desalination systems to purify water for their own usage. It makes the water safe to drink as well as suitable for a variety of industrial applications. The fault occurring in the desalination plant, it slows down the processing the speed and reduce the output rate. In this study, focuses on the faults like not under system control, electrical fault, pump fault, control valve fault, inaccurate signal, old data fault, derived fault and transmitter fault. The proposed artificial neural network with the single and double component fault (ANN S-DCF) is introduced to detect the faults occurring in the desalination plant. The faults are splitted into two catagories and characteristics of each fault are trained in the artificial neural network. The result of this work achieves the best accuracy comparing to the existing techniques of SVR (support vector regression), PCA (principal component analysis) and DPLS (dynamic partial least square) method. This study achieves the accuracy rate of 96%, precision rate of 93% and sensitivity rate of 95% respectively with low complexity and high operational speed.</p>

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Real-time fault tolerant control of a Reverse Osmosis desalination plant based on a hybrid system approach

Cited by 9 publications

References 33 publications

Optimal systems engineering and control co-design for water and energy production: A European project

Optimal systems engineering and control co-design for water and energy production: A European project

Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant

Water Desalination Plant Fault Detection using Artificial Neural Network

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