RUL estimation and maintenance optimization for aircraft engines: a system of system approach

Fornlöf, Veronica; Galar, Diego; Syberfeldt, Anna; Almgren, Torgny

doi:10.1007/s13198-016-0509-0

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…There are two primary strategies commonly employed for prognosis in aviation, namely, physics-based and data-driven methods. Both techniques include distinct advantages and limits, which is why they are frequently utilized with one another [153]. Prognostics is an academic field that focuses on the prediction of the future performance of a system, with a specific focus on identifying the moment when the system will no longer serve its intended purpose, usually known as its TTF.…”

Section: Hybrid Prognostic Approachesmentioning

confidence: 99%

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

Fu,

Avdelidis

2023

Sensors

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Prognostic and health management (PHM) plays a vital role in ensuring the safety and reliability of aircraft systems. The process entails the proactive surveillance and evaluation of the state and functional effectiveness of crucial subsystems. The principal aim of PHM is to predict the remaining useful life (RUL) of subsystems and proactively mitigate future breakdowns in order to minimize consequences. The achievement of this objective is helped by employing predictive modeling techniques and doing real-time data analysis. The incorporation of prognostic methodologies is of utmost importance in the execution of condition-based maintenance (CBM), a strategic approach that emphasizes the prioritization of repairing components that have experienced quantifiable damage. Multiple methodologies are employed to support the advancement of prognostics for aviation systems, encompassing physics-based modeling, data-driven techniques, and hybrid prognosis. These methodologies enable the prediction and mitigation of failures by identifying relevant health indicators. Despite the promising outcomes in the aviation sector pertaining to the implementation of PHM, there exists a deficiency in the research concerning the efficient integration of hybrid PHM applications. The primary aim of this paper is to provide a thorough analysis of the current state of research advancements in prognostics for aircraft systems, with a specific focus on prominent algorithms and their practical applications and challenges. The paper concludes by providing a detailed analysis of prospective directions for future research within the field.

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Section: Hybrid Prognostic Approachesmentioning

confidence: 99%

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

Fu,

Avdelidis

2023

Sensors

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“…[ 1,2 ] However, crack, wear, and missing angle breakage frequently generate in the fan blades during the course of service, and severely affect the service life of the aeroengine. [ 3 ] Replacing the damaged engine blades directly can greatly increase the maintenance costs. From the perspective of economy and energy conservation, manufacturers are more inclined to repair the damaged blades by in situ repairing process.…”

Section: Introductionmentioning

confidence: 99%

Microstructural Characteristics and Mechanical Properties of Repaired Titanium Alloy Blade by Arc Additive Manufacturing Process

Liu

Jin

et al. 2020

Adv Eng Mater

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To improve repair efficiency and achieve a high‐quality repair layer, wire and arc additive manufacturing process is used in this study to repair missing‐angle Ti‐6Al‐4V blade. The deposition layer with a mixed equiaxed β and columnar grain can be obtained by optimizing the deposition speed and single layer height. According to the characteristics of β grain, the typically repaired thin‐walled part is divided into four representative areas, including heat affected zone (HAZ), bottom layer, middle layer, and top layer. The bottom layer consists of coarsely near‐equiaxed β grains with martensite α′ and basket‐weave structure, and the columnar β grains grow perpendicularly from middle layer to top layer. The heat accumulation in HAZ continues to increase which resulted in a certain degree of cooling rate reduction, resulting in the martensite α′ decomposed to α dots and rods in HAZ near the layer band. The fine near‐equiaxed β grains (78 ± 28 μm), martensite α′ structure, and fine lamellar α structure are presented in HAZ, causing the fracture transition from the HAZ to bottom region. The characteristic of ductile rupture is observed in repaired thin‐wall, the maximum tensile strength is 991 MPa, and the elongation reaches about 10%.

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“…In the past decades, there have been a number of research studies conducted to optimise the maintenance strategies dedicated to various kinds of industrial applications. For example, a simulation was carried out to evaluate the performance of manufacturing production lines with different maintenance policies (Lei, 2010); The maintenance cost and availability of an aircraft system was optimized using a mathematical replacement model (Fornlöf, 2016) and so on.…”

mentioning

confidence: 99%

Optimising the maintenance strategy for a multi-AGV system using genetic algorithms

Yan¹,

Dunnett²,

Jackson³

2018

Safety and Reliability – Safe Societies in a Changing World

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Automated Guided Vehicles (AGVs) are playing increasingly vital roles in a variety of applications in modern society, such as intelligent transportation in warehouses and material distribution in automated production lines. They improve production efficiency, save labour cost, and bring significant economic benefit to end users. However, to utilise these potential benefits is highly dependent on the reliability and availability of the AGVs. In other words, an effective maintenance strategy is critical in the application of AGVs. The research activity reported in this paper is to realise an effective maintenance strategy for a multi-AGV system by the approach of Genetic Algorithms (GA). To facilitate the research, an automated material distribution system consisting of three AGVs is considered in this paper for methodology development. The movement of every AGV in the multi-AGV system, and the corrective and periodic preventive maintenances of failed AGVs are modelled using the approach of Coloured Petri Nets (CPNs). Then, a GA is adopted for optimising the maintenance and associated design and operation of the multi-AGV system. From this research, it is disclosed that both the location selection of the maintenance site and the maintenance strategies that are adopted for AGV maintenance have significant influences on the efficiency, cost, and productivity of a multi-AGV system.

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RUL estimation and maintenance optimization for aircraft engines: a system of system approach

Cited by 9 publications

References 14 publications

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

Microstructural Characteristics and Mechanical Properties of Repaired Titanium Alloy Blade by Arc Additive Manufacturing Process

Optimising the maintenance strategy for a multi-AGV system using genetic algorithms

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