Intelligent Supervision and Integrated Fault Detection and Diagnosis for Subsea Control Systems

Altamiranda, Edmary; Colina, Eliezer

doi:10.1109/oceanse.2007.4302291

Cited by 9 publications

(9 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The subsea BOP control system is associated predominantly with technical factors like offset distance, water depth and required response speed [29]. Therefore, multiplex electro-hydraulic control systems have been developed for subsea BOP stack [30].…”

Section: System Descriptionmentioning

confidence: 99%

Application of Petri nets to performance evaluation of subsea blowout preventer system

Liu¹,

Liu²,

Cai³

et al. 2015

ISA Transactions

View full text Add to dashboard Cite

Section: System Descriptionmentioning

confidence: 99%

Application of Petri nets to performance evaluation of subsea blowout preventer system

Liu¹,

Liu²,

Cai³

et al. 2015

ISA Transactions

View full text Add to dashboard Cite

“…A framework for intelligent supervision and integrated fault detection and diagnosis applicable to subsea production control systems was presented in [1]. This philosophy based on hybrid systems [2] can be utilized and adapted to enhance the capabilities of individual subsea production and processing systems to be promoted to SoS elements within the large subsea production system.…”

Section: S U P E R V I S O R ( a U T O M A T O N ) C O N T R O L P A mentioning

confidence: 99%

“…This philosophy based on hybrid systems [2] can be utilized and adapted to enhance the capabilities of individual subsea production and processing systems to be promoted to SoS elements within the large subsea production system. The proposed supervision scheme, for individual subsea systems, based on philosophy presented in [1] is illustrated in figure 1.…”

Section: S U P E R V I S O R ( a U T O M A T O N ) C O N T R O L P A mentioning

confidence: 99%

“…Appropriate instrumentation to support equipment monitoring, diagnostic models and algorithms to support fault detection and diagnosis must be in place [1,[5][6][10][11]. Process condition monitoring and process control performance monitoring can be also incorporated to the continuous level supported by process models and appropriate algorithms [2,4,[37][38][39][40][41].…”

Section: S U P E R V I S O R ( a U T O M A T O N ) C O N T R O L P A mentioning

confidence: 99%

“…The need to operate industrial plants in a smooth and sound manner to ensure compliance with technical specifications and safeguard product quality is heightened in today's increasingly competitive globalised economy [1]. Competitive advantage can be gained by reducing raw material and energy consumption and energy consumption costs, maximizing plant throughput and by meeting rigorous environmental regulations [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A system of systems engineering approach for intelligent control and supervision of subsea production systems

Altamiranda

Colina

2013

2013 MTS/IEEE OCEANS - Bergen

View full text Add to dashboard Cite

A fundamental aspect in the design of a complex system is the use of systems concepts, principles and laws in terms of a holistic view of the problem under study. The increasing complexity of subsea production systems demand the development of condition monitoring, supervision, integrated diagnosis and control technologies to achieve the synergy among all different subsystems and therefore increase performance, reliability, safety and optimize the overall operation for the subsea facility. This paper explores the use of a system of systems engineering approach to develop a framework to support intelligent control, supervision and integrated diagnosis applicable for subsea production and processing systems.

show abstract

Sustainable production and the role of digital twins–Basic reflections and perspectives

Miehe

Waltersmann

Sauer

et al. 2021

J Adv Manuf & Process

View full text Add to dashboard Cite

Sustainable production is essential for the future of the global economy. Despite the publication of its baseline vision over 30 years ago and the resulting diversity of interpretations and subdisciplines in engineering and social sciences, the progress of the approach in industrial practice remains marginal. This is mainly due to the fact that the discipline has not yet succeeded to realize the magnitude of the rethinking necessary of its very own perception as a whole. Existing definitions of sustainable production presented to date are thus only partly consistently derived from the baseline concept. Meanwhile, digitalization provides an increasing number of technologies that offer a new perspective on sustainable production. This especially applies to the concept of digital twins. Recent studies, thus, address their role in the context of sustainable production by analyzing its contribution to existing sustainability related methods as well as technical challenges on a microeconomic level (bottom‐up approach). Although these approaches provide concrete requirements for technical deployment, it is highly questionable how they will contribute to sustainable production as a whole. In this paper, we choose a top‐down approach to discuss the role of digital twins in the context of sustainable production. Based on fundamental reflections on the baseline concept of sustainability, we advocate a reorientation of production within the framework of planetary boundaries. Thereupon, we discuss the role of digital twins and digital threads and provide a number of requirements that future R&D needs to address for a future sustainability‐oriented data‐driven monitoring and regulation of production.

show abstract

Intelligent Supervision and Integrated Fault Detection and Diagnosis for Subsea Control Systems

Cited by 9 publications

References 16 publications

Application of Petri nets to performance evaluation of subsea blowout preventer system

Application of Petri nets to performance evaluation of subsea blowout preventer system

A system of systems engineering approach for intelligent control and supervision of subsea production systems

Sustainable production and the role of digital twins–Basic reflections and perspectives

Contact Info

Product

Resources

About