There Is No Superior Maintenance Style in Asset Management (original) (raw)
Related papers
The present status of maintenance strategies and the impact of maintenance on reliability
IEEE Transactions on Power Systems, 2001
In this paper, the most frequently used maintenance strategies are reviewed. Distinction is made between strategies where maintenance consists of replacement by a new (or "good as new") component and where it is represented by a less costly activity resulting in a limited improvement of the component's condition. Methods are also divided into categories where maintenance is performed at fixed intervals and where it is carried out as needed. A further distinction is made between heuristic methods and those based on mathematical models; the models themselves can be deterministic or probabilistic.
—This paper proposes a method for comparing the effect of different maintenance strategies on system reliability and cost. This method relates reliability theory with the experience gained from statistics and practical knowledge of component failures and maintenance measures. The approach has been applied to rural and urban distribution systems. In particular, a functional relationship between failure rate and maintenance measures has been developed for a cable component. The results show the value of using a systematic quantitative approach for investigating the effect of different maintenance strategies.
IEEE Transactions on Power Systems, 1998
Preventive maintenance is performed to extend the equipment lifetime or at least the mean time between failures. Cost-effective maintenance scheduling is important due to budget constraints in the current situation where reduction of the operating and capital cost is the focus of the power industry. In order to establish a cost-effective maintenance, quantitative evaluation of maintenance parameters is critical. In this paper, a probabilistic model to achieve cost-effective maintenance strategies is presented. Reliability indices such as mean duration, state probability and visit frequency of each state, are computed using Monte Carlo simulation and demonstrated using a numerical example. Further, cost analysis is performed by computing all associated costs including inspection, maintenance and failure costs based on the reliability indices.
Proc. 15th …, 2005
In liberalised electrical power supply markets, asset management procedures have developed into a central element of network operation and planning. Asset management methods consider all relevant life cycle cost related to the network equipment and provide strategies for reinvestment, maintenance and fault elimination. However, the methods require information about the component reliability of the installed network equipment, as well as about costs arising in the case of damage. Further, the component reliability depends on component age, maintenance history and operational stresses-so, a prediction of the component reliability based on the asset management strategies has to be found. Up to now, only rudimental quantitative statements are available. In a current research project, data of historical damage events is collected in a special damage statistic to provide more detailed results. In this paper, the approach for a comprehensive, riskoriented asset management method in distribution networks is presented and possible applications are illustrated. Also, the developed scheme of the special damage statistic is described and intermediate results of the component reliability and their application in the corresponding ageing models to derive a prognosis of the component reliability depending on the chosen asset management strategies are presented.
Energy, 2019
The reliability of power systems, in terms of uninterrupted electricity supplies, is dependent on the reliability of the system's elements, especially the generation sources and transmission lines. The reliability of a coal-fired power unit's operation is essentially affected by the unit's main components, i.e. the turbine, the boiler and the generator. According to the statistics, the boiler is the most failure-prone element of the power unit. Therefore, efforts aimed at improving the reliability must include actions that enable early diagnostics of the state of the individual devices. In this paper it has been proposed that the optimal time to perform diagnostic testing of boiler tubes should be determined using risk analysis. Using the net present value (NPV) discounted cash flow index and the avoided risk criterion, a procedure has been put forward that optimizes the time when diagnostic tests should be carried out. The method has been applied to optimize diagnostic testing of boiler tubes, where corrosion is the principal cause of damage. Methods have also been given to determine the probability of the failure of such elements.
Power System Reliability and Maintenance Evolution: A Critical Review and Future Perspectives
IEEE Access, 2022
In the last two decades, the number of strategies for planning the maintenance of power systems have increased considerably. As societal dependence on power system infrastructure continues to grow, there is an increased need to identify the best practices in the field of power system maintenance planning to ensure the continued reliable operation of the grid. This paper presents a comprehensive and systematic state-of-theart review of advances in power system maintenance and the significance for the field of power system reliability. As the main contributions, this paper systematically organizes the published literature, and analyses the most relevant milestones in the context of power systems adequacy and security enhancement, producing a taxonomy of the different maintenance strategies. This includes detailing existing approaches for power system maintenance planning, and providing clear definitions, models, methods, and characteristics of maintenance policy. The review also includes the most relevant standards employed in the power system maintenance field. Finally, areas requiring further research are identified alongside emerging trends in power system maintenance, to inform industry practice and support further research.
Application of statistical methods for making maintenance decisions within power utilities
IEEE Electrical Insulation Magazine, 2000
plained best by referring to the so-called bathtub curve, (a). The curve describes the development of the number of failures per unit of time, the failure rate λ(t), according to the age of the component. This bathtub curve describes the failure rate of the power components discussed in the case studies. The shape of the failure rate curve in region I is characterized by a decrease, indicating failures in early life. The so called useful life (II), in the restricted time region, shows a constant failure T
Reliability-Centered Maintenance: A Case Study
Engineering Management Journal, 2000
Energy markets are deregulating rapidly and the price of energy is expected to decrease. Energy suppliers that traditionally operated as regulated monopolies must now find ways to improve their productivity. Energy utilities are typically asset-intensive, so maintenance activities present a potential area for productivity improvement. Reliability Centered Maintenance (RCM) was developed in the commercial aerospace industry approximately 3 decades ago. In the 1980's, the Electric Power Research Institute (EPRI) initiated studies for the application of RCM to generating facilities. Recently, EPRI has begun supporting the investigation of RCM methodology in the transmission and delivery of electric power. New Century Energies (NCE) recently completed the first phase of a pilot maintenance program for power delivery equipment based on RCM methodology. Results from the first-phase pilot study indicate that previous maintenance strategies resulted in instances of both undermaintenance and over-maintenance of the subject equipment. Opportunity cost savings are illustrated, though it will be necessary to implement RCM on a larger scale before these savings can make a significant impact on the bottom line.