Optimal maintenance policy considering maintenance errors for systems operating under performance-based contracts

Qiu, Qingan; Cui, Lirong; Shen, Jingyuan; Yang, Li

doi:10.1016/j.cie.2017.08.025

Cited by 72 publications

(37 citation statements)

References 36 publications

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“…In all these cases, there is the alternative of maintaining or replacing the component, but when the failure is unexpected, the strategy is to perform a minimal repair to avoid downtime and to apply, at the end of the next time interval (τ), the maintenance strategy scheduled under normal conditions for each η × τ [54]. When a repair is performed, it is assumed that the component will go back to the initial state that it had prior to the failure; however, there are also MatMs that consider the cases in which the repair or inspection is imperfect [55]. Because there is more than one manner of organizing the models, Figure 4 shows an alternative classification that expands and complements Figure 3.…”

Section: Types Of Models Applied At the Strategic And Tactical Levelsmentioning

confidence: 99%

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Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

et al. 2019

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Wind power generation has been the fastest-growing energy alternative in recent years, however, it still has to compete with cheaper fossil energy sources. This is one of the motivations to constantly improve the efficiency of wind turbines and develop new Operation and Maintenance (O&M) methodologies. The decisions regarding O&M are based on different types of models, which cover a wide range of scenarios and variables and share the same goal, which is to minimize the Cost of Energy (COE) and maximize the profitability of a wind farm (WF). In this context, this review aims to identify and classify, from a comprehensive perspective, the different types of models used at the strategic, tactical, and operational decision levels of wind turbine maintenance, emphasizing mathematical models (MatMs). The investigation allows the conclusion that even though the evolution of the models and methodologies is ongoing, decision making in all the areas of the wind industry is currently based on artificial intelligence and machine learning models.

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Section: Types Of Models Applied At the Strategic And Tactical Levelsmentioning

confidence: 99%

“…When after the PM, the repair has been imperfect and the equipment does not recover the failure rate that it had when it was new, this is known as Imperfect PM (IPM) [55]. The mathematical model for the TEC of the IPM is given by (14).…”

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confidence: 99%

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

et al. 2019

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“…This is motivated by the fact WTS is usually operating in harsh environment and suffers from various shocks such as strong wind, earthquake, and thunder. Therefore, the corresponding research is of theoretical and practical interest to WTS researchers, eg, …”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the corresponding research is of theoretical and practical interest to WTS researchers, eg,. [25][26][27] The main contributions of this paper to the existing scientific literature and engineering practice are as follows. (a) Developing a novel stochastic failure process model by considering the impact of both random shocks and preventive repair.…”

Section: Introductionmentioning

confidence: 99%

Preventive maintenance policy of single‐unit systems based on shot‐noise process

Qiu

Cui

Dong

2018

Quality & Reliability Eng

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This paper develops reliability and maintenance models for a single‐unit system subject to hard failures under random environment of external shocks. Motivated by the observations of shot‐noise process in practice, the impact of shock damage on system failure behavior is characterized by random hazard rate increments. To remove such negative impact, imperfect preventive repair is performed periodically, and preventive replacement is performed after several repairs. Considering the joint effects of both random shocks and imperfect repair on the system hazard rate, we derive recursive equations for the system reliability function. Furthermore, we investigate the optimal maintenance policy that minimizes the expected cost per unit time of the system. The applicability of the reliability and maintenance model is validated by a case study on a wind turbine system.

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“…In many cases (Madureira et al, 2017;, and according to the 189 organisational maintenance policies (Qiu et al, 2017), the prioritisation of failures or anomalies, detected (for example) by using techniques of reliability analysis, is strategic for scheduling maintenance interventions and reducing risks. Bevilacqua and Ciarapica (2018) discuss the case of a refinery risk management system, stressing the fundamental role of human factor-based analyses.…”

Section: Blockchain Technology Supporting Preventive Maintenancementioning

confidence: 99%

Multi-criteria decision methods to support the maintenance management of complex systems

Carpitella¹

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A thesis under a co-tutelle agreement between UNIPA and UPV within their respective programmes of doctorates in "PROF. ALFREDO PERIS (UPV) THE TUTORS PROF. ANTONELLA CERTA (UNIPA) PROF. JULIO BENÍTEZ (UPV) PROF. JOAQUÍN IZQUIERDO (UPV)To my father, my mother and Nino The rock upon which I stand ACKNOWLEDGMENTS Three years ago I undertook a long and difficult, but beautiful journey, called a double PhD. It has been so challenging and undoubtedly the most important personal achievement of my whole life so far. I compared myself with something I thought was much bigger than me. Actually, in order to accomplish it successfully, I just needed to fully involve my heart. I did it without saving my strengths. What I have learnt during my doctorate will remain with me forever. Not only did I further develop my professional skills and my attitude to scientific research, but above all I made real my passion for discovery. Discovering the world, meeting new people, appreciating diversity, considering various manners of working and living, learning new languages, facing my weaknesses and getting over them. All of the things listed above unquestionably influenced my personal development. And personal growth is an endless process. It goes without saying that this doctoral thesis is the result of all my efforts and love. I dedicate it… To my father and my mother, the most important people in my life. I wish I could be even half as good person and engineer as they are. All that I am I owe to my parents. To my brother Nino, who is for me the best example of courage and who has had right answers to my doubts since we were just children. To my grandma Wilma, a great woman to whom I owe most of my personality. To all my family, especially to my grandparents Maria and Mario, and to my cousins/sisters Paola, Luisa and Carla. To Antonella and Joaquín, my "academic parents" and continuous sources of inspiration, who have transmitted me all their passion for this incredible job and taken care of my personal and professional growth in every possible way. They made my horizon larger and pushed me to continuously challenge myself. I consider them as a true family, more life-mentors rather than professors, and I will be always aware of the fundamental part they play in my life. To Julio, who has been indispensable to carry out this thesis and carefully followed all the stages of its development, with endless competence and kindness. It has been a true privilege to work with such a source of knowledge as Julio is. To Professor Giacomo Galante, who first believed in me when I was an undergraduate student and, after having supervised my master thesis, introduced me to the University world. To Professor Mario Enea, who kindly and fully supported me during the whole duration of my doctorate studies. To Manu and Idel, who treat me as I was their little sister, giving me a lot of attention and dedicating a lot of their priceless time (days, weeks, months) to teach me loads of things. They guided me across unforgettable and thought-provoking internat...

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Optimal maintenance policy considering maintenance errors for systems operating under performance-based contracts

Cited by 72 publications

References 36 publications

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

Preventive maintenance policy of single‐unit systems based on shot‐noise process

Multi-criteria decision methods to support the maintenance management of complex systems

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