Design and reliability analysis of the electrical control system of the subsea control module

The subsea control module is the core equipment of the subsea production system, and its electrical control system plays a large role in the failure modes of the subsea control module. Based on a traditional nonredundant programmable logic controller system, a parallel cross-redundancy system is proposed, designed and tested for the electrical control system of the subsea control module to enhance the reliability of the subsea control module within the given space. A success-oriented system decomposition method is proposed on the basis of the reliability block diagram and system logical relationship that effectively reduces the system dimension and solves the problem of the system state-space explosion caused by the number of system components in the Markov model, and the system reliability and mean time to failure models are created. The reliability model is solved by a Markov model successfully. Finally, the redundancy of the system is tested to validate the logical relationship in the reliability model. The reliability and mean time to failure of the system are analyzed in MATLAB. The tests and analysis show that the proposed parallel cross-redundancy system is better than the double hot-standby system, as demonstrated by a higher reliability and longer mean time to failure, and the module failure rate effects have been minimized.

[1]  Wei Dong,et al.  Design and RAMS analysis of a fault-tolerant computer control system , 2007 .

[2]  Refik Samet.  Hardware implementation of fault-tolerance in dual computer systems , 2009, Qual. Reliab. Eng. Int..

[3]  Mohammad Omar Abdullah,et al.  A review on the applications of programmable logic controllers (PLCs) , 2016 .

[4]  Naning Aranti Wessiani,et al.  Failure mode effect analysis and fault tree analysis as a combined methodology in risk management , 2018 .

[5]  Ghasem Kahe.  Reliable flight computer for sounding rocket with dual redundancy: design and implementation based on COTS parts , 2017, Int. J. Syst. Assur. Eng. Manag..

[6]  Wei Dong,et al.  Reliability and safety analysis of M out of N system based on Markov Process , 2016, 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference.

[7]  K. P. Chow,et al.  Forensic Analysis of a Siemens Programmable Logic Controller , 2016, Critical Infrastructure Protection.

[8]  Dai Shenghua,et al.  Research on 2-out-of-2 multiplying 2 redundancy system used in high-speed train , 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.

[9]  Xiao Jing Liu,et al.  Research on Reliability Analysis Method of Industrial Control System Based on Markov Process , 2014 .

[10]  Mahmood Shafiee,et al.  Failure mode and effects analysis using a fuzzy-TOPSIS method: a case study of subsea control module , 2017 .

[11]  Yaoming Zhou,et al.  Analytical Study on the Reliability of Redundancy Architecture for Flight Control Computer Based on Homogeneous Markov Process , 2018, IEEE Access.

[12]  Hamid Reza Karimi,et al.  Reliable Control of Discrete-Time Piecewise-Affine Time-Delay Systems via Output Feedback , 2018, IEEE Transactions on Reliability.

[13]  Refik Samet.  Recovery Device for Real-Time Dual-Redundant Computer Systems , 2011, IEEE Transactions on Dependable and Secure Computing.

[14]  Askar Bitanov.  Reliability study of Subsea Control Module with focus on statistical methods , 2015 .

[15]  Zhiqiang Li,et al.  Reliability modelling and analysis of a multi-state element based on a dynamic Bayesian network , 2018, Royal Society Open Science.

[16]  Hamid Reza Karimi,et al.  Reliable Output Feedback Control of Discrete-Time Fuzzy Affine Systems With Actuator Faults , 2017, IEEE Transactions on Circuits and Systems I: Regular Papers.

[17]  Tao Tang,et al.  Modeling and Simulation for Safety Redundant Architecture in Train Control System , 2016 .

[18]  Bin Hu,et al.  Quantitative assessment of probability of failing safely for the safety instrumented system using reliability block diagram method , 2015 .

[19]  Sohag Kabir,et al.  An overview of fault tree analysis and its application in model based dependability analysis , 2017, Expert Syst. Appl..

[20]  Junhong Kim,et al.  RAM Study On the Subsea Production System of an Offshore Oil And Gas Platform , 2004 .

[21]  Pankaj Shrivastava,et al.  A system for design decisions based on reliability block diagrams , 2015, 2015 Annual Reliability and Maintainability Symposium (RAMS).

[22]  Sivaramakrishna Reddy,et al.  Innovative Subsea Intervention Plan to Avoid Production Loss-Case Study , 2012 .

[23]  Zengkai Liu,et al.  Reliability Analysis of the Electrical Control System of Subsea Blowout Preventers Using Markov Models , 2014, PloS one.

[24]  Pedram Fanailoo,et al.  Improving Reliability and Reducing Intervention Costs of Ultradeep Subsea Technology at the Design Stage , 2008 .

[25]  Hyunki Kim,et al.  The design and analysis of AVTMR (all voting triple modular redundancy) and dual-duplex system , 2005, Reliab. Eng. Syst. Saf..

[26]  Jun Wu,et al.  Optimum design of a 4-PSS-PU redundant parallel manipulator based on kinematics and dynamics , 2016 .

[27]  Attahiru Sule Alfa,et al.  Space Reduction for a Class of Multidimensional Markov Chains: A Summary and Some Applications , 2018, INFORMS J. Comput..

[28]  Olexandr Yevkin,et al.  An Efficient Approximate Markov Chain Method in Dynamic Fault Tree Analysis , 2016, Qual. Reliab. Eng. Int..

[29]  Wen-hua Huang,et al.  Biomechanical Comparison of Osteoporotic Distal Radius Fractures Fixed by Distal Locking Screws with Different Length , 2014, PloS one.

[30]  Eric R. Ziegel,et al.  System Reliability Theory: Models, Statistical Methods, and Applications , 2004, Technometrics.

[31]  Paul A. Broadbent.  Controls Reliability And Early Life of Field Failure of Subsea Control Modules , 2010 .

[32]  Jialu Du,et al.  Development of subsea production system and its control system , 2017, 2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS).

[33]  Ebru Nihal Cetin.  FMECA applications and lessons learnt , 2015, 2015 Annual Reliability and Maintainability Symposium (RAMS).

[34]  M. Fabbri.  AN OVERVIEW OF MULTIPLEXED E/H SUBSEA CONTROL SYSTEMS , 1988 .

[35]  Anietie Nnana Umofia.  Risk-based reliability assessment of subsea control module for offshore oil and gas production , 2014 .

[36]  Remi Eriksen,et al.  RAM Analysis for Deepwater Subsea Developments , 2001 .

[37]  Hyunki Kim,et al.  The design and evaluation of all voting triple modular redundancy system , 2002, Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318).

[38]  E. Altamiranda,et al.  Condition monitoring and diagnosis for subsea control systems. A subsystem prototype , 2009, OCEANS 2009-EUROPE.

[39]  Tyler Witt,et al.  Single chip, 2-wire, 4–20mA current loop RTD temperature transmitter design , 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

[40]  Jun Wu,et al.  A Method to Realize Accurate Dynamic Feedforward Control of a Spray-Painting Robot for Airplane Wings , 2018, IEEE/ASME Transactions on Mechatronics.

[41]  Rafael Pérez-Ocón,et al.  Constructing a Markov process for modelling a reliability system under multiple failures and replacements , 2018, Reliab. Eng. Syst. Saf..