The Experts below are selected from a list of 6324 Experts worldwide ranked by ideXlab platform
Rick Grantom - One of the best experts on this subject based on the ideXlab platform.
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Using Risk-Informed Asset Management for Feedwater System Preventative Maintenance Optimization
Journal of Nuclear Science and Technology, 2004Co-Authors: Ernest J. Kee, Alice Sun, Andrew Richards, James K. Liming, James E. Salter, Rick GrantomAbstract:The initial development of a South Texas Project Nuclear Operating Company process for supporting Preventative Maintenance optimization by applying the Balance-Of-Plant model and Risk-Informed Asset Management alpha-level software applications is presented. Preventative Maintenance activities are evaluated in the South Texas Project Risk- Informed Asset Management software while the plant maintains or improves upon high levels of nuclear safety. In the Balance-Of-Plant availability application, the level of detail in the feedwater system is enhanced to support plant decision-making at the component failure mode and human error mode level of indenture by elaborating on the current model at the super-component level of indenture. The enhanced model and modeling techniques are presented. Results of case studies in feedwater system Preventative Maintenance optimization using plant-specific data are also presented.
Stuart L. Grassie - One of the best experts on this subject based on the ideXlab platform.
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Maintenance of the wheel–rail interface
Wheel–Rail Interface Handbook, 2009Co-Authors: Stuart L. GrassieAbstract:Abstract: The two fundamental components in Maintenance of the wheel–rail interface are control of friction and control of the wheel and rail profiles. Appropriate design of the wheel–rail interface, with attention to these factors, can greatly reduce Maintenance requirements. Some basic guidance to prevention of damage is contained here, but the majority of this chapter comprises information regarding equipment, techniques and expectations for Maintenance of wheels and rails. ‘Best practice’ is to undertake routine, Preventative Maintenance that restores transverse profile, removes longitudinal or circumferential irregularities and either removes surface cracking or otherwise forestalls its development, while removing minimal material from the wheel or rail surface. The ability to undertake Preventative Maintenance can be regarded as a sign of a well-designed wheel–rail interface. If damage is sufficiently severe, ‘corrective’ Maintenance is required. Rail grinders and wheel lathes are appropriate for both Preventative and corrective Maintenance. Both milling and planing are appropriate for several types of corrective re-profiling of rails but, if such work is required routinely, it is symptomatic of a deeper underlying problem.
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rolling contact fatigue on the british railway system treatment
Wear, 2005Co-Authors: Stuart L. GrassieAbstract:Abstract In the late 1990s, rolling contact fatigue was a widespread and severe, but greatly underestimated, problem on the British railway system. In the period 1999–2000, the basis for a system of Preventative Maintenance of rails was nevertheless established. Preventative Maintenance has been greatly accelerated by the tragic and fatal derailment of a passenger train in October 2000. Rail grinding and lubrication are the widely accepted and basic components of the strategy, the details of which are still being developed.
Michael Walsh - One of the best experts on this subject based on the ideXlab platform.
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On the use of Wireless Sensor Networks in Preventative Maintenance for Industry 4.0
2018 12th International Conference on Sensing Technology (ICST), 2018Co-Authors: Donato Catenazzo, Brendan O’flynn, Michael WalshAbstract:The goal of this paper is to present a literature study on the use of Wireless Sensor Networks (WSNs) in Preventative Maintenance applications for Industry 4.0. Requirements for industrial applications are discussed along with a comparative of the characteristics of the existing and emerging WSN technology enablers. The design considerations inherent to WSNs becoming a tool to drive Maintenance efficiencies are discussed in the context of implementations in the research literature and commercial solutions available on the market.
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ICST - On the use of Wireless Sensor Networks in Preventative Maintenance for Industry 4.0
2018 12th International Conference on Sensing Technology (ICST), 2018Co-Authors: Donato Catenazzo, Brendan Orflynn, Michael WalshAbstract:The goal of this paper is to present a literature study on the use of Wireless Sensor Networks (WSNs) in Preventative Maintenance applications for Industry 4.0. Requirements for industrial applications are discussed along with a comparative of the characteristics of the existing and emerging WSN technology enablers. The design considerations inherent to WSNs becoming a tool to drive Maintenance efficiencies are discussed in the context of implementations in the research literature and commercial solutions available on the market.
Ernest J. Kee - One of the best experts on this subject based on the ideXlab platform.
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Using Risk-Informed Asset Management for Feedwater System Preventative Maintenance Optimization
Journal of Nuclear Science and Technology, 2004Co-Authors: Ernest J. Kee, Alice Sun, Andrew Richards, James K. Liming, James E. Salter, Rick GrantomAbstract:The initial development of a South Texas Project Nuclear Operating Company process for supporting Preventative Maintenance optimization by applying the Balance-Of-Plant model and Risk-Informed Asset Management alpha-level software applications is presented. Preventative Maintenance activities are evaluated in the South Texas Project Risk- Informed Asset Management software while the plant maintains or improves upon high levels of nuclear safety. In the Balance-Of-Plant availability application, the level of detail in the feedwater system is enhanced to support plant decision-making at the component failure mode and human error mode level of indenture by elaborating on the current model at the super-component level of indenture. The enhanced model and modeling techniques are presented. Results of case studies in feedwater system Preventative Maintenance optimization using plant-specific data are also presented.
Dimitri N. Mavris - One of the best experts on this subject based on the ideXlab platform.
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A Sequential Approach for Gas Turbine Power Plant Preventative Maintenance Scheduling
Journal of Engineering for Gas Turbines and Power, 2005Co-Authors: Yongjun Zhao, Vitali Volovoi, Mark Waters, Dimitri N. MavrisAbstract:Traditionally, gas turbine power plant preventive Maintenance schedules are set with constant intervals based on recommendations from the equipment suppliers. Preventive Maintenance is based on fleet-wide experience as a guideline as long as individual unit experience is not available. In reality, the operating conditions for each gas turbine may vary from site to site and from unit to unit. Furthermore, the gas turbine is a repairable deteriorating system, and preventive Maintenance usually restores only part of its performance. This suggests a gas turbine needs more frequent inspection and Maintenance as it ages. A unit-specific sequential preventive Maintenance approach is therefore needed for gas turbine power plant preventive Maintenance scheduling. Traditionally, the optimization criteria for preventive Maintenance scheduling is usually cost based. However, in the deregulated electric power market, a profit-based optimization approach is expected to be more effective than the cost-based approach. In such an approach, power plant performance, reliability, and the market dynamics are considered in a joint fashion. In this paper, a novel idea that economic factors drive Maintenance frequency and expense to more frequent repairs and greater expense as equipment ages is introduced, and a profit-based unit-specific sequential preventive Maintenance scheduling methodology is developed. To demonstrate the feasibility of the proposed approach, a conceptual level study is performed using a base load combined cycle power plant with a single gas turbine unit.
