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[HTML][HTML] Maintenance optimization in industry 4.0
This work reviews maintenance optimization from different and complementary points of
view. Specifically, we systematically analyze the knowledge, information and data that can …
view. Specifically, we systematically analyze the knowledge, information and data that can …
Offshore wind turbine operations and maintenance: A state-of-the-art review
Operations and maintenance of offshore wind turbines (OWTs) play an important role in the
development of offshore wind farms. Compared with operations, maintenance is a critical …
development of offshore wind farms. Compared with operations, maintenance is a critical …
Life cycle cost modelling and economic analysis of wind power: A state of art review
J Liu, D Song, Q Li, J Yang, Y Hu, F Fang… - Energy Conversion and …, 2023 - Elsevier
During the past decade, wind power generation has been rapidly developed. As a key
component of feasibility analysis, the cost modelling and economic analysis directly affect …
component of feasibility analysis, the cost modelling and economic analysis directly affect …
A review on maintenance optimization
To this day, continuous developments of technical systems and increasing reliance on
equipment have resulted in a growing importance of effective maintenance activities. During …
equipment have resulted in a growing importance of effective maintenance activities. During …
Challenges to IoT-enabled predictive maintenance for industry 4.0
The Industry 4.0 paradigm is boosting the relevance of predictive maintenance (PdM) for
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …
Using green finance to counteract the adverse effects of COVID-19 pandemic on renewable energy investment-The case of offshore wind power in China
Q Tu, J Mo, Z Liu, C Gong, Y Fan - Energy Policy, 2021 - Elsevier
The outbreak of COVID-19 pandemic has increased the production costs of renewable
energy facilities and undermines the profitability of renewable energy investment. Green …
energy facilities and undermines the profitability of renewable energy investment. Green …
A deep boosted transfer learning method for wind turbine gearbox fault detection
Deep learning methods have become popular among researchers in the field of fault
detection. However, their performance depends on the availability of big datasets. To …
detection. However, their performance depends on the availability of big datasets. To …
Condition-based maintenance optimization for multi-component systems considering prognostic information and degraded working efficiency
Recent developments in prognostic models have led to increased use of prognostic
information to improve the benefits of condition-based maintenance (CBM). Existing CBM …
information to improve the benefits of condition-based maintenance (CBM). Existing CBM …
[HTML][HTML] A condition-based maintenance policy for continuously monitored multi-component systems with economic and stochastic dependence
In this paper we propose a condition-based maintenance policy for continuously monitored
multi-component systems subject to stochastic dependence through load sharing and …
multi-component systems subject to stochastic dependence through load sharing and …
A chance-constrained optimization framework for wind farms to manage fleet-level availability in condition based maintenance and operations
Operations and maintenance (O&M) is a key contributor to wind farm expenditures. To
increase competitiveness, wind farm operators are increasingly looking into leveraging real …
increase competitiveness, wind farm operators are increasingly looking into leveraging real …