Abstract
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.
Highlights
To satisfy the growing global demand for freshwater, seawater desalination technologies are being widely applied due the significant reduction in desalination cost, as well as the technological improvements incorporated within the desalination process [1,2]
A fault is a violation of some specific normal behavior, which can lead to poor performance or the loss of plant functions. These faults can originate safety risks for plant personnel, physical damages, energy waste, as well as lead to poor freshwater quality, making it dangerous for human consumption [20]. These safety problems support the design of fault diagnosis and isolation (FDI) systems capable of detecting possible failures and making effective decisions to impede the dissemination of their effects and to maintain the safe operation of the industrial seawater reverse osmosis desalination (ISROD) plants [21]
To detect fault f 1, the Analytical redundancy relations (ARRs) arr7 and arr16 are monitored; to isolate fault f 1 from fault f 3, which is sensitive to ARRs arr7 and arr16, it is necessary to check the ARRS arr6 and arr9 ; in the same way, to isolate fault f 1 from fault f 10, it is necessary to monitor arr9
Summary
To satisfy the growing global demand for freshwater, seawater desalination technologies are being widely applied due the significant reduction in desalination cost, as well as the technological improvements incorporated within the desalination process [1,2]. These faults can originate safety risks for plant personnel, physical damages, energy waste, as well as lead to poor freshwater quality, making it dangerous for human consumption [20] These safety problems support the design of fault diagnosis and isolation (FDI) systems capable of detecting possible failures and making effective decisions to impede the dissemination of their effects and to maintain the safe operation of the industrial seawater reverse osmosis desalination (ISROD) plants [21]. The major contribution of this paper is the extension of the structural analysis approach to handle the case of the design of FDI systems for ISROD plants In this way, in order to improve the FDI properties of the proposed system, diagnostic tests are obtained via FMSO sets. The binary integer linear programming (BILP) method, proposed in [27], is used for selecting FMSO sets to guarantee the maximum possible isolation
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