Structural Diagnostics, Prognostics and Health Management for Future Space Vehicles: Development, Implementation and Testing

Zagrai, Andrei; Campisi, Matthew; Anderson, Mary L.; Hunter, D.O.; Sanchez, John; Demidovich, Nickolas

doi:10.1109/aero.2019.8741659

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…It monitors and evaluates the health status of the system and adopts corresponding maintenance strategies after finding abnormalities. Therefore, in view of the operating characteristics of the fluid loop system, only the CBM is suitable for its operation and maintenance [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Health Status Assessment Method of Fluid Loop System Based on Hierarchical Multi-Information Fusion

Li,

Zhang,

Fang

et al. 2024

Mathematical Problems in Engineering

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As a kind of thermal control device, fluid loop systems must operate with the demands of high safety, high reliability, and long life. In order to accurately assess the health status of fluid loop systems, a hierarchical multi-information fusion (HMIF) method is proposed in this paper. Considering that fluid loop systems generally have distinct structural hierarchies, the health evaluation process in this method is divided into three levels, which are the indicator level, the component level, and the system level. In the evaluation process, the health indices are, respectively, constructed to quantify the health status at the three levels. At the indicator level, One-Class support vector machine algorithm is used to obtain the distribution space of each state monitoring indicator under a normal state. The indicator-level health indices are evaluated by calculating the ratio of the data located in the distribution space to the overall data. At the component level, a fuzzy theory is used to calculate the health indices of the component level. Health indices at the indicator level are first converted to membership degree by membership degree function. Then, the evaluation fusion strategy is used to deduce the membership degree of the component level. The health indices at the component level are obtained from the mapping relationship between the membership degree and the health index. At the system level, an adaptive weight adjustment strategy is proposed to fuze all component-level health indices. Taking a practical fluid loop system as an example, health indices at the three levels evaluated by the HMIF method are compared with the actual status. The results indicate that the proposed method can correctly judge the health state of the system and provide a reference for the maintenance and fault diagnosis of fluid loop systems.

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Section: Introductionmentioning

confidence: 99%

A Health Status Assessment Method of Fluid Loop System Based on Hierarchical Multi-Information Fusion

Li,

Zhang,

Fang

et al. 2024

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Space vehicles, such as reusable launch vehicles, have become critical to many sectors of national defense and civilian-oriented markets in recent decades [1,2]. Due to the use of new materials, such as composites and exposure to extreme environmental conditions, it is inevitable that reliable inspection methods are required for safety control and the maintenance of space structures to avoid potential catastrophic failure [3,4].…”

Section: Introductionmentioning

confidence: 99%

Design of a Large-Scale Piezoelectric Transducer Network Layer and Its Reliability Verification for Space Structures

Ren

Tao

Xue

2020

Sensors

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As an effective structural health monitoring (SHM) technology, the piezoelectric transducer (PZT) and guided wave-based monitoring methods have attracted growing interest in the space field. When facing the large-scale monitoring requirements of space structures, a lot of PZTs are needed and may cause problems regarding to additional weight of connection cables, placement efficiency and performance consistency. The PZT layer is a promising solution against these problems. However, the current PZT layers still face challenges from large-scale lightweight monitoring and the lack of reliability assessment under extreme space service conditions. In this paper, a large-scale PZT network layer (LPNL) design method is proposed to overcome these challenges, by adopting a large-scale lightweight PZT network design method and network splitting–recombination based integration strategy. The developed LPNL offers the advantages of being large size, lightweight, ultra-thin, flexible, customized in shape and highly reliable. A series of extreme environmental tests are performed to verify the reliability of the developed LPNL under space service environment, including extreme temperature conditions, vibration at different flying phases, landing impact, and flying overload. Results show that the developed LPNL can withstand these harsh environmental conditions and presents high reliability and functionality.

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Structural Diagnostics, Prognostics and Health Management for Future Space Vehicles: Development, Implementation and Testing

Cited by 2 publications

References 14 publications

A Health Status Assessment Method of Fluid Loop System Based on Hierarchical Multi-Information Fusion

A Health Status Assessment Method of Fluid Loop System Based on Hierarchical Multi-Information Fusion

Design of a Large-Scale Piezoelectric Transducer Network Layer and Its Reliability Verification for Space Structures

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