Risk-Based Maintenance Scheduling with application to naval vessels and ships

Maintenance scheduling for naval vessels and ships requires ongoing improvement to manage rising maintenance costs within availability constraints. Existing maintenance scheduling approaches are not optimal as maintenance costs continue to rise without an improvement in vessel availability. This paper reviews the Risk-Based Maintenance Scheduling (RBM) framework as applied to ships and naval vessels, and provides a critical analysis of Risk Assessment and Maintenance Scheduling techniques used. Further, objectives and considerations are defined for future applications for ships and naval vessels, and the framework evaluated as an improvement on existing Preventative Maintenance (PM) and Reliability Centered Maintenance (RCM) methods. A probabilistic approach supported by condition monitoring data in combination with Decision Theory is suggested for the Risk Assessment and Maintenance Scheduling elements comprising an RBM Scheduling framework. Implementation of this framework from both periodic PM and RCM is presented. Development of applications from the component level upwards is suggested. Availability and overall maintenance cost are suggested as evaluation metrics against existing methods. The development of an application is formalized within a proposed framework. The development of an application within the RBM Scheduling framework is expected to result in reduced maintenance costs while meeting availability requirements for ship and naval vessel applications.

[1]  Steven X. Ding,et al.  A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches , 2015, IEEE Transactions on Industrial Electronics.

[2]  Geert-Jan van Houtum,et al.  A survey of maintenance and service logistics management: Classification and research agenda from a maritime sector perspective , 2017, Comput. Oper. Res..

[3]  Iraklis Lazakis,et al.  Increasing ship operational reliability through the implementation of a holistic maintenance management strategy , 2010 .

[4]  Iselin Wabakken,et al.  Application of RCM to Construct a Maintenance Program for a Maritime Vessel - Bruk av RCM til å utforme et vedlikeholdsprogram for et maritimt fartøy , 2015 .

[5]  Jay Lee,et al.  Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications , 2014 .

[6]  George Chryssolouris,et al.  An approach to operational aircraft maintenance planning , 2010, Decis. Support Syst..

[7]  Alex W. Dawotola,et al.  Risk Based Maintenance of Petroleum Pipelines , 2012 .

[8]  K. Hansen,et al.  A hybrid approach to warship structural maintenance management. Discussion. Authors' closure , 1997 .

[9]  Terje Aven,et al.  A framework for reliability and risk centered maintenance , 2011, Reliab. Eng. Syst. Saf..

[10]  Martijn van Noort,et al.  Reliability-Centered Maintenance of the Electrically Insulated Railway Joint via Fault Tree Analysis: A Practical Experience Report , 2016, 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

[11]  Maria Hänninen,et al.  Bayesian network model of maritime safety management , 2014, Expert Syst. Appl..

[12]  Xinping Yan,et al.  Fault detection and diagnosis of a gearbox in marine propulsion systems using bispectrum analysis and artificial neural networks , 2011 .

[13]  Faisal I Khan,et al.  Risk-based maintenance of ethylene oxide production facilities. , 2004, Journal of hazardous materials.

[14]  A. G. Eleye-Datubo,et al.  Enabling a Powerful Marine and Offshore Decision‐Support Solution Through Bayesian Network Technique , 2006, Risk analysis : an official publication of the Society for Risk Analysis.

[15]  Kenji Ishida,et al.  Optimizing Ship Machinery Maintenance Scheduling Through Risk Analysis and Life Cycle Cost Analysis , 2006 .

[16]  Jong-Duk Son,et al.  Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine , 2009, Expert Syst. Appl..

[17]  S. Bonsall,et al.  Incorporating uncertainty and multiple criteria in vessel selection , 2009 .

[18]  J Maiti,et al.  Risk-based maintenance--techniques and applications. , 2007, Journal of hazardous materials.

[19]  Gianpaolo Pulcini,et al.  A condition-based maintenance policy for deteriorating units. An application to the cylinder liners of marine engine , 2015 .

[20]  Keith Worden,et al.  TIME–FREQUENCY ANALYSIS IN GEARBOX FAULT DETECTION USING THE WIGNER–VILLE DISTRIBUTION AND PATTERN RECOGNITION , 1997 .

[21]  Faisal Khan,et al.  Development of a risk-based maintenance (RBM) strategy for a power-generating plant , 2005 .

[22]  V. Sugumaran,et al.  A comparative study of naïve Bayes classifier and Bayes net classifier for fault diagnosis of roller bearing using sound signal , 2015 .

[23]  Charles E Ebeling,et al.  An Introduction to Reliability and Maintainability Engineering , 1996 .

[24]  J. Knezevic,et al.  Evolutionary maintenance for aircraft engines , 1999, Annual Reliability and Maintainability. Symposium. 1999 Proceedings (Cat. No.99CH36283).

[25]  Bertram D. Smith Risk Management in Repair Work Decision Making , 1989 .

[26]  Shigemi Ochiai,et al.  Quantitative risk evaluations of LNG equipment applying ASME risk‐based maintenance concepts , 2005 .

[27]  Toshiaki Yoshida,et al.  An Approach for Cost Effective Assessment in Risk-Based Maintenance as a Life-Cycle Maintenance (LCM) Model , 2004 .

[28]  Satish C. Sharma,et al.  Fault diagnosis of ball bearings using machine learning methods , 2011, Expert Syst. Appl..

[29]  J. Klein Woud,et al.  Maintenance programme design for minimal life cycle costs and acceptable safety risks , 1997 .

[30]  Kelvin Tan,et al.  Moving Towards Reliability-Centred Management of Energy, Power and Transportation Assets , 2017 .

[31]  Deke Liu Application of risk based inspection (RBI), reliability centered maintenance (RCM) and risk based maintenance (RBM) , 2013 .

[32]  Uday Kumar,et al.  On aircraft scheduled maintenance program development , 2010 .

[33]  Steven X. Ding,et al.  A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches , 2015, IEEE Transactions on Industrial Electronics.

[34]  Yu-Hong Liu,et al.  The structure design of an intelligent decision support system for navigation collision avoidance , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[35]  Ali Fuat Guneri,et al.  A fuzzy ANP approach to shipyard location selection , 2009, Expert Syst. Appl..

[36]  Kenji Ishida,et al.  System dynamics simulation for constructing maintenance management of ship machinery , 2011, 2011 IEEE International Conference on Industrial Engineering and Engineering Management.

[37]  Dan M. Frangopol,et al.  Risk-informed life-cycle optimum inspection and maintenance of ship structures considering corrosion and fatigue , 2015 .

[38]  Vikram Garaniya,et al.  Dynamic risk‐based maintenance for offshore processing facility , 2016 .

[39]  Ali Siadat,et al.  Risks analyses update based on maintenance events , 2008 .

[40]  Tao Tang,et al.  Risk-Based Predictive Maintenance for Safety-Critical Systems by Using Probabilistic Inference , 2013 .

[41]  Zhaojun Li,et al.  Reliability centered preventive maintenance optimization for aircraft indicators , 2016, 2016 Annual Reliability and Maintainability Symposium (RAMS).

[42]  Mohamed Mohamed Naim,et al.  Aircraft maintenance, repair and overhaul , 2016 .

[43]  Ikuobase Emovon FAILURE MODE AND EFFECTS ANALYSIS OF SHIP SYSTEMS USING AN INTEGRATED DEMPSTER SHAFER THEORY AND ELECTRE METHOD , 2016 .

[44]  J. Toyoda,et al.  Maintenance scheduling based on two level hierarchical structure to equalize incremental risk , 1989, Conference Papers Power Industry Computer Application Conference.

[45]  Vikram Garaniya,et al.  Developing a quantitative risk-based methodology for maintenance scheduling using Bayesian Network , 2016 .

[46]  Gerhard Venter,et al.  Review of optimization techniques , 2010 .

[47]  S. French,et al.  Decision Theory: An Introduction to the Mathematics of Rationality. , 1988 .

[48]  J. L. Foszcz,et al.  Rolling element bearings , 1995 .

[49]  Demos C. Angelides,et al.  Risk-based maintenance scheduling using monitoring data for moored floating breakwaters , 2013 .

[50]  Baoping Tang,et al.  A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm , 2013 .

[51]  Ikuobase Emovon,et al.  Ship System Maintenance Strategy Selection Based on DELPHI-AHP-TOPSIS Methodology , 2016 .

[52]  J. Moubray Reliability-Centered Maintenance , 1991 .

[53]  Ikuobase Emovon,et al.  An integration of multi-criteria decision making techniques with a delay time model for determination of inspection intervals for marine machinery systems , 2016 .

[54]  K. I. Ramachandran,et al.  Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing , 2007 .

[55]  Ikuobase Emovon,et al.  Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems , 2018, J. Intell. Manuf..

[56]  Li Li,et al.  Blind vibration component separation and nonlinear feature extraction applied to the nonstationary vibration signals for the gearbox multi-fault diagnosis , 2013 .

[57]  Biswanath Samanta,et al.  Artificial neural networks and genetic algorithm for bearing fault detection , 2006, Soft Comput..

[58]  Iraklis Lazakis Establishing an innovative and integrated reliability and criticality based maintenance strategy for the maritime industry , 2011 .

[59]  C. Guedes Soares,et al.  Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions , 2011 .

[60]  Uday Kumar,et al.  Reliability Centered Maintenance (RCM) for Automated Mining Machinery , 2016 .

[61]  Matthew Clark,et al.  Commentary: Reliability-Centered Maintenance: A Tool for Optimizing Medical Device Maintenance. , 2016, Biomedical instrumentation & technology.

[62]  Iraklis Lazakis,et al.  Investigating the reliability and criticality of the maintenance characteristics of a diving support vessel , 2011, Qual. Reliab. Eng. Int..

[63]  Anoushiravan Farshidianfar,et al.  Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine , 2007 .