Situational awareness through the interface: evaluating safety m safety-critical control systems

1999 ◽  
Author(s):  
C. Sandon
Keyword(s):  
Control Systems ◽  
Situational Awareness ◽  
Safety Critical

Reliability analysis and safety model checking of Safety-Critical and control Systems: A case study of NPP control system

2022 ◽  
Vol 166 ◽  
pp. 108812
Author(s):  
Vinay Kumar ◽  
Kailash Chandra Mishra ◽  
Pooja Singh ◽  
Aditya Narayan Hati ◽  
Mohan Rao Mamdikar ◽  
...  
Keyword(s):  
Control System ◽  
Model Checking ◽  
Reliability Analysis ◽  
Control Systems ◽  
Safety Critical ◽  
And Control

Parameter Estimation for Quantitative Dependability Analysis of Safety-Critical and Control Systems of NPP

2018 ◽  
Vol 65 (5) ◽  
pp. 1080-1090 ◽  
Author(s):  
Vinay Kumar ◽  
Lalit Kumar Singh ◽  
Pooja Singh ◽  
Karm Veer Singh ◽  
Ashish Kumar Maurya ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Control Systems ◽  
Safety Critical ◽  
Dependability Analysis ◽  
And Control

Third Party HIL Testing of Safety Critical Control System Software on Ships and Rigs

2012 ◽  
Author(s):  
Øyvind Smogeli ◽  
Trond Augustson
Keyword(s):  
Control System ◽  
Control Systems ◽  
Technology Development ◽  
Emergency Situation ◽  
Third Party ◽  
System Software ◽  
Safety Critical ◽  
Test Methodology ◽  
Automation Systems ◽  
And Performance

The drilling industry is characterized by a rapid and up front technology development to conquer larger water and drilling depths. The level of automation has been steadily increasing over several decades, growing from manually operated sledge-hammer technology to space-age computer-based integrated systems. Most of the automation systems on today’s vessels are put into operation without independent testing. This is a paradox considering that a single control system may be more complex than all the mechanical systems onboard. It is also a paradox that the automation systems often contain safety-critical failure handling functionality that may be difficult or dangerous to test onboard the real vessel, and therefore is not properly tested until it is activated during an emergency situation. These automation systems are essential for the safety, reliability, and performance of the vessels. Examples are the Dynamic Positioning (DP) systems, Power Management systems, Drilling Control Systems, BOP control systems, Managed Pressure Drilling (MPD) systems, and crane control systems. Hardware-In-the-Loop (HIL) testing is a well proven test methodology from automotive, avionics, and space industries, and is now also gaining recognition in the marine and offshore industries. The aim of this paper is to clarify what HIL testing is, how third party HIL testing can be applied to safety critical control system software on drilling ships and rigs, and why this is an important contribution to technical safety, reliability and profitability of offshore operations.

scholarly journals Application of the FPGA Technology for the Development of Multi-Version Safety-Critical NPP Instrumentation and Control Systems

2020 ◽  
pp. 52-61
Author(s):  
A. Perepelitsyn ◽  
O. Illiashenko ◽  
V. Duzhyi ◽  
V. Kharchenko
Keyword(s):  
Control Systems ◽  
International Standards ◽  
Design Tools ◽  
Integrated Development ◽  
Safety Critical ◽  
Digital Devices ◽  
Diversity Assessment ◽  
Integrated Development Environments ◽  
And Control

The paper overviews the requirements of international standards on application of diversity in safety-critical NPP instrumentation and control (I&C) systems. The NUREG7007 classification of version redundancy and the method for diversity assessment are described. The paper presents results from the analysis of instruments and design tools for FPGA-based embedded digital devices from leading manufacturers of programmable logics using the Xilinx and Altera (Intel) chips, which are used in NPP I&C systems, as an example. The most effective integrated development environments are analyzed and the results of comparing the functions and capabilities of using the Xilinx and Altera (Intel) tools are described. The analysis of single failures and fault tolerance using diversity in chip designs based on the SRAM technology is presented. The results from assessment of diversity metrics for RadICS platform-based multi-version I&C systems are discussed.

scholarly journals Impact of Flinch Technology on Damage Control and Survivability

2018 ◽  
Author(s):  
R Sahie-Pour ◽  
D Berenbaum
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Control System ◽  
Control Systems ◽  
Situational Awareness ◽  
Damage Control ◽  
Data Communication ◽  
Agent Based ◽  
Related Data ◽  
Data Communication Network

When a mission critical naval vessel is operating in dangerous waters or in battle, amongst other things, the success of its mission is a measure of capability and availability of its Weapon Systems, Combat and Communications Systems, Battle Damage Control System (BDCS) and Situational Awareness, as well as, its ability to recover from unplanned incidents. The next Generation Integrated Platform Management Systems (IPMS) for Autonomous Ships with much reduced manning, dictates special considerations for autonomous control systems across the ship support systems and beyond without need for man-in-the-loop for decision making. This entails detailed analysis, vulnerability and recoverability assessments during target ship’s basic design and the application of Artificial Intelligence (AI) where available. The optimum strategy involves consideration of distributed smart agent based control and monitoring systems that shall react rapidly to changes in operational demands and incidents without the need for man-in-the-loop, creating BDCS dynamic kill cards across ship subsystems and, extending the IPMS BDCS capabilities to Combat Management.  The above gives rise to consideration of “Flinch Technology (FT)” [7].  It implies distributed smart agent based control systems that instinctively reacts to incidents for fast recoverability in the event of damage to supervisory control system (i.e. IPMS) and its related data communication network. This paper addresses the benefits that might be gained as a result of consideration of  smart agent based control systems with no manin-the loop involvement for decision making. Such technology solutions, empowered by Artificial Intelligence (AI) could be adopted in the future Autonomous Combatant Ships. 

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