Comprehensive clustering approach for managing maintenance in large fleet of assets

Proceedings of the 29th European Safety and Reliability Conference (ESREL), 22 – 26 September 2019, Hannover, Germany. Editors, Michael Beer and Enrico ZioThe maintenance management of large fleets of assets which include several technical solutions operating in different operational contexts has been a recurrent research topic in the literature. Current approaches to establishing fleet maintenance plans are primarily criticality-based, considering failures consequences and assets reliability; the reliability model is often supported by the idea of pooling data from similar pieces of equipment. In spite of the capability to reduce the population offered by data-pooling, its criteria may still lead to a quite large number of segments. Therefore, it results in an equally large amount of maintenance plans along with their inherent operational and administrative difficulties. It is the purpose of the paper to introduce a novel and comprehensive approach; it integrates statistical methods and clustering algorithms to render a fleet segmentation which allows better customization of maintenance plans involving fewer efforts. The approach is summarized in a decision chart which collects the logic behind the use of every algorithm, tool and technique

Understanding the new Context of Uncertainty and Risk under the 4th Industry Revolution

Proceedings of the 29th European Safety and Reliability Conference (ESREL), 22 – 26 September 2019, Hannover, Germany. Editors, Michael Beer and Enrico ZioThe revolution towards the Industry 4.0, requires as a fundamental challenge the advanced treatment of risk in physical assets according to this new context. This revolution also includes the transition towards a new concept of assets and production systems giving rise to those known as cyber-physical systems (CPS) where the available information and knowledge about the systems and its behaviour should promote a level of control of the risk not known until now. In this context, the transition from classical model for risk management to other concepts, more flexible and dynamic is needed. It is the context that this paper is intended to illustrate, approaching risk control to the available data and technology.Gobierno de España. FFI2017- 89639-P, “Mechanisms in the sciences: from the biological to the social

Wind Farms Reliability Modelling for Life Cycle Cost Analysis

Proceedings of the 29th European Safety and Reliability Conference (ESREL), 22 – 26 September 2019, Hannover, Germany. Editors, Michael Beer and Enrico ZioThe present article explores the importance of developing a new methodology for the optimal sizing of a power generation system. To this aim, the proposed methodology is based on the analysis of the life cycle cost, which is composed by a set of differentiating costs. These differentiating costs will depend mainly on the variables of the equipment that make up the system, such as the cost of power generation, reliability of the equipment and the complete system, including the possibility of incorporating backup equipment. This analysis will allow to obtain an optimal number of such equipment. The size of the power generation system, in addition to assuming a minimum cost, have to fulfil the annual required power generated by the system itself. The proposed methodology consists of five stages: (i) Study of technical factors, (ii) Modelling and reliability analysis of the system, (iii) Application of the LCCA technique, (iv) Analysis of total costs and evaluation of scenarios to find the optimum n system size, complying with the requested generated power, (v) Sensitivity analysis and obtaining final results