Reliability Based Maintenance Planning of Wind Turbine Using Bond Graph

Mo, John P.T.; Chan, Daniel

doi:10.13189/ujme.2017.050401

Cited by 4 publications

(3 citation statements)

References 37 publications

(37 reference statements)

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“…It is supported by a tower connected to the rotor and the yaw system. Among the failure modes of this component is corrosion, which is caused by external failure causes (Bharatbhai, 2015; Mo and Chan, 2017) as shown in Figure 2. A malfunction of this element can affect several other components because it may increase the vibration rate or cause a loss of seal.…”

Section: Methodsmentioning

confidence: 99%

Multi-component modeling and classification for failure propagation of an offshore wind turbine

Bezzaoucha

Sahnoun²,

Benslimane

2020

IJESM

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Purpose Improving reliability is a key factor in reducing the cost of wind energy, which is strongly influenced by the cost of maintenance operations. In this context, this paper aims to propose a degradation model that describes the phenomenon of fault propagation to apply proactive maintenance that will act on the cause of failure to prevent its reoccurrence as well as to improve future system designs. Design/methodology/approach The methodology adopted consists in identifying the different components of a wind turbine, their causes and failure modes, and then, classifying these components according to their causes of failure. Findings The result is a classification of the different components of a wind turbine according to their failure causes. From the obtained classification, the authors observed that the failure modes for one component are a failure cause for another component, which describes the phenomenon of failure propagation. Originality/value The different classifications existing in the literature depend on the nature, position and function of the different components. The classification of this study consists in grouping the components of a wind turbine according to their failure causes to develop a degradation model considering the propagation of failure in the field of wind turbines.

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Section: Methodsmentioning

confidence: 99%

Multi-component modeling and classification for failure propagation of an offshore wind turbine

Bezzaoucha

Sahnoun²,

Benslimane

2020

IJESM

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“…Failure Mode and Effects Analysis (FMEA) is a commonly used method for understanding the processes of system failure in detail and identifying potential failure points. It is often employed during the design phase to analyse the potential failures of products [15]. In addition to its use in design, FMEA can also be used to determine the optimal spare parts inventory.…”

Section: Identifying Failure Modes Based Inventorymentioning

confidence: 99%

Optimisation of Preventive Maintenance Regime and Spare Part Inventory based on Failure Mode System Modelling

Alamri,

2023

Preprint

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Preventive maintenance schedules are increasingly important in today's complex and diverse production systems as they help to ensure the continuous operation of systems and reduce overall maintenance costs. This paper presents a novel method for designing a preventive maintenance schedule and spare parts inventory based on failure modes for complex systems with multiple components, using the Failure Modes and Effects Analysis (FMEA) method. The objective is to ensure the continuity of system outputs by modeling subsystems and components as parallel and series arrangements, and using a genetic algorithm to determine the optimal replacement intervals and spare parts inventory based on failure modes. In addition to ensuring the continuity of production outputs during maintenance activities, the approach is also useful in reducing system maintenance costs and increasing system reliability. The proposed approach is applied to a packaging system, and the effects of changing lead time, preventive replacement intervals, and production lost costs on the optimal policy are also examined. The proposed approach is expected to improve system reliability, reduce maintenance costs, and be applicable to any type of complex system at any stage of its development.

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“…Failure mode and effects analysis (FMEA) is a procedure found to be useful for analysing of potential failures of each components and system reliability. It is generally used during the design phase to analyses possible product failures (Mo & Chan, 2017). The FMEA aims, within a particular period of time, to analyse potential failures, that is, how the system of multi-components might fail and what happens to them when there is a failure in specific a system in order to take actions steps that can eliminate the risks of failures.…”

Section: The Role Of Fmea In Maintenancementioning

confidence: 99%

Failure Mode Structured Preventive Maintenance Scheduling With Changing Failure Rates in Industry 4.0 Environment

Alamri

2022

Front. Manuf. Technol.

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Critical manufacturing systems consist of many different components working together. Each component is important to the operation and performance of the whole system. It is crucial to have a sound maintenance plan to ensure continuous production output. The strategy of current research is to focus on the failure mode modelling of the manufacturing system and divide it according to failure mode in production blocks. The preventive replacement intervals are determined using mean time to failure values of components, with group replacements of components within the production blocks to prevent unexpected functional breakdown failures. With the implementation of Industry 4.0 infrastructure, the mean time to failure values of components are constantly updated. The multi-mode mathematical model developed in this paper is able to adjust the preventive replacement schedule dynamically to suit changing system conditions. The results indicate that preventive replacement of components can achieve consistent minimum system reliability of 90% while minimizing system costs due to maintenance and downtime. Novelty of the approach lies in developing a holistic preventive maintenance schedule using failure mode and effects analysis for a complete system. The approach not only improves maintainability and reliability, lowers the cost of maintenance, but also keeps continuity of production.

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Reliability Based Maintenance Planning of Wind Turbine Using Bond Graph

Cited by 4 publications

References 37 publications

Multi-component modeling and classification for failure propagation of an offshore wind turbine

Multi-component modeling and classification for failure propagation of an offshore wind turbine

Optimisation of Preventive Maintenance Regime and Spare Part Inventory based on Failure Mode System Modelling

Failure Mode Structured Preventive Maintenance Scheduling With Changing Failure Rates in Industry 4.0 Environment

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