基于可靠性的双变量聚类分析用于民用航空发动机机队的数据驱动维修优先级建议

IF 1.3 4区工程技术 Q4 ENGINEERING, INDUSTRIAL

Quality Engineering Pub Date : 2023-02-02 DOI:10.1080/08982112.2022.2163179

Hang Zhou, A. Parlikad, A. Brintrup

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引用次数: 1

摘要

摘要现代民用航空发动机是一个在设计、制造和生命周期管理方面高度复杂的工程系统。它们经常在极端和关键条件下运行，然而，高可靠性和安全性是民航业的首要任务。为了确保最高性能和运行效率，发动机采用模块化设计。本文旨在将数据驱动的聚类分析应用于航空发动机机队的实际运行数据，为提高运行效率和发动机价值的最佳利用提供模块维护优先级建议解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data-driven maintenance priority recommendations for civil aircraft engine fleets using reliability-based bivariate cluster analysis

Abstract The modern civil aircraft engine is a type of highly complex engineering system in design, manufacturing, and life-cycle management. They are constantly operated under extreme and critical conditions, and yet, high reliability and safety are top priorities in the civil aviation industry. To ensure top performance and efficiency in operations, engines follow a modular design. This article intends to apply the data-driven cluster analysis to real-life operation data for aircraft engine fleets, which provides a module maintenance priority recommendation solution to increase the efficiency of operations and best use of the engine values.

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来源期刊

Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY

CiteScore

3.90

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed. You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.