An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies

被引：17

作者：

Kordestani, Mojtaba ^{[1
]}

Orchard, Marcos E. ^{[2
]}

Khorasani, Khashayar ^{[3
]}

Saif, Mehrdad ^{[1
]}

机构：

[1] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada

[2] Univ Chile, Dept Elect & Comp Engn, Santiago 8370451, Chile

[3] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2023年 / 72卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Aircraft; Aircraft propulsion; Prognostics and health management; Turbines; Maintenance engineering; Safety; Fault diagnosis; Aircraft system; failure prognostic; fault detection and isolation (FDI); fault diagnosis; prognostic and health management (PHM); remaining useful life (RUL); REMAINING USEFUL LIFE; FAULT-DETECTION; NEURAL-NETWORK; DATA-DRIVEN; NONLINEAR-SYSTEMS; KALMAN FILTER; PREDICTION; MODEL; DIAGNOSIS; ENSEMBLE;

D O I：

10.1109/TIM.2023.3236342

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Aircraft are complex engineering systems composed of many interconnected subsystems with possible uncertainties in their structure. They often function for a long number of flight hours under varying or harsh environments. Hence, prognostic and health management (PHM) of critical subsystems or components within the overall system is crucial for maintaining the safety and reliability of the aircraft. This article reviews the state of the art in aircraft failure prognostic. The main definitions and concepts are presented and discussed. In addition, a selected important failure in the representative aircraft components is outlined, and various categories of prognostic strategies are reviewed. Finally, some recommendations and directions for the most promising research to address the PHM problem in aircraft are outlined.

引用

页数：15

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