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RCAM Case: Hydropower Systems
Published in Lina Bertling Tjernberg, Infrastructure Asset Management with Power System Applications, 2018
Large costs are associated with maintenance and loss of production. Maintenance tasks cost money but can reduce the chance of failures. Some failures lead to costly repairs and expensive downtime for production, while others result in costs that can be tolerated. To find an optimal maintenance strategy costs for conducting various maintenance tasks must be compared to the costs and consequences resulting from a failure. RCM at Vattenfall Vattenkraft has resulted in different ways to decide what maintenance to perform than earlier. To be able to further improve maintenance and see what the effects of RCM are so far, there is a need to evaluate what has been done.
Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities
Published in Journal of Marine Engineering & Technology, 2023
Mohsen Elmdoost-gashti, Mahmood Shafiee, Ali Bozorgi-Amiri
In general, maintenance strategies can be classified into three types: corrective maintenance, preventive maintenance, and CBM (Coraddu et al. 2016). Under the corrective maintenance strategy, the equipment or system is allowed to run until it fails and then it is repaired or replaced. Preventive maintenance (PM) is a strategy that involves routine repairs according to a defined time interval or usage level of the asset. CBM is a maintenance strategy that has attracted the attention of many researchers in recent years (Asuquo et al. 2021; Kimera and Nangolo 2022). This strategy stipulates that maintenance should only be performed when certain indicators show signs of performance degradation or impending failure. For this purpose, it incorporates all diagnosis, process and performance data, maintenance histories, operator logs and design information to make timely maintenance decisions. CBM provides the ability to increase the equipment reliability and improve the efficacy of maintenance operations based on the data gathered from condition monitoring systems. Condition monitoring systems include various tools that are used to record and evaluate different parameters such as vibration, acoustic, temperature, flow signal and oil colour. The data is then processed to determine the health status of the equipment and predict the remaining useful life (RUL) (Pascual 2015). An optimal maintenance plan is then prepared based on the predicted health condition of the equipment so that a preventive repair/replacement can be performed when there is a high risk of failure (Liao et al. 2006; Vachtsevanos et al. 2006).
Maintenance policies with minimal repair and replacement on failures: analysis and comparison
Published in International Journal of Production Research, 2021
Mohamed Larbi Rebaiaia, Daoud Ait-kadi
In summary, this work addresses several maintenance strategies for production industries. Optimal maintenance strategy for a component or a multi-component system could have a significant impact on minimising costs and downtime, maximising reliability and productivity, improving quality, and finally reaching the desired economic goals of companies. Despite that, the solution developed in this paper can bring substantial added value, extends the useful life of the equipment, decreases unexpected failures, and simple to implement. But, it is partially limited because it cannot guarantee that failures cannot occur after corrective actions and that the data for determining the distribution probability function is not sufficiently completed for estimating the renewal function. The solution for that is to integrate the developed study into a maintenance planning system, and to associate it with other maintenance strategies like predictive maintenance.
Availability-based predictive maintenance scheduling for vibrating-grate biomass boilers
Published in Safety and Reliability, 2020
Mohammad Hosseini Rahdar, Fuzhan Nasiri, Bruno Lee
The proposed method in this paper is based on the impact of the component’s availability on the system availability which is so-called maintenance impact. It is aimed to reduce the number of maintenance tasks, which implicitly results in the lower maintenance cost while the system availability remains above its primary value. The fixed-interval preventive maintenance is often adopted to ensure high system availability coming up with the over-maintenance in most cases. The advantage of the optimal maintenance method to the traditional one is not only suggesting more reliable scheduling but also diminishing the maintenance cost. The reliability is generally referred to present a specific degree of assurance that the components of a system will stay successfully in working conditions over a certain period.