AUTOMATION OF TESTING AND FAULT DETECTION FOR ROCKET ENGINE TEST FACILITIES WITH MACHINE LEARNING

被引：0

作者：

Dresia, Kai ^{[1
]}

Kurudzija, Eldin ^{[1
]}

Waxenegger-Wilfing, Guenther ^{[1
]}

Behler, Hendrik ^{[1
]}

Auer, Daniel ^{[1
]}

Froehlke, Karsten ^{[1
]}

Neumann, Heike ^{[1
]}

Frank, Anja ^{[1
]}

Laurent, Jerome ^{[2
]}

Fabreguettes, Luce ^{[2
]}

机构：

[1] German Aerosp Ctr DLR, D-51147 Cologne, Germany

[2] European Space Agcy ESA, Paris, France

来源：

INTERNATIONAL JOURNAL OF ENERGETIC MATERIALS AND CHEMICAL PROPULSION | 2023年 / 22卷 / 06期

关键词：

rocket engine test facilities; machine learning; digital twin; anomaly de tection; intelligent control; reinforcement learning;

D O I：

10.1615/IntJEnergeticMaterialsChemProp.2023047195

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The German Aerospace Center (DLR) Institute of Space Propulsion has unique expertise in operating test facilities for rocket engine testing and development in Europe since 1959. However, essential elements of the test site were designed up to half a century ago. In order to ensure a futureproof and intelligent digital test infrastructure, the potential of test automation, advanced control, and monitoring systems is investigated based on machine learning. Such intelligent control systems are expected to reduce engine development and test preparation times, thereby lowering the associated costs. Additionally, advanced monitoring systems are anticipated to increase the safety and reliability of the test infrastructure. This paper presents the results of two pilot projects: the first project uses reinforcement learning to automatically generate test sequences based on test requirements, while the second project develops a feed -forward forecasting model to predict deviations from expected behavior in the feed -line of a rocket engine test facility.

引用

页码：17 / 33

页数：17

共 50 条

[1] Engine Fault Detection by Sound Analysis and Machine Learning
Akbalik, Ferit
Yildiz, Abdulnasir
Ertugrul, Omer Faruk
Zan, Hasan
APPLIED SCIENCES-BASEL, 2024, 14 (15):
[2] Sixty Years of Rocket Engine Test Facilities at Snecma
Rothmund, Christophe
HISTORY OF ROCKETRY AND ASTRONAUTICS, 2011, 36 : 117 - 132
[3] ROCKET PLUME TESTING IN GROUND TEST FACILITIES
SCHULZ, RJ
BAUER, RC
JOURNAL OF SPACECRAFT AND ROCKETS, 1974, 11 (01) : 16 - 20
[4] Adaptive thresholds algorithm for fault detection of liquid rocket engine in ground test
Forth Inst of the Second Artillery, Beijing, China
Tuijin Jishu/Journal of Propulsion Technology, 2000, 21 (01): : 1 - 4
[5] Gear fault detection in rocket engine turbomachinery
DiMaggio, SJ
Rubin, S
Sako, BH
JOURNAL OF PROPULSION AND POWER, 2001, 17 (02) : 225 - 231
[6] Soft extreme learning machine for fault detection of aircraft engine
Zhao, Yong-Ping
Huang, Gong
Hu, Qian-Kun
Tan, Jian-Feng
Wang, Jian-Jun
Yang, Zhe
AEROSPACE SCIENCE AND TECHNOLOGY, 2019, 91 : 70 - 81
[7] Test Automation for Engine Warmup Feature Testing
Raut, Pratiksha C.
Tade, Sunil L.
Jadhav, Rohini S.
2016 INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION (ICCUBEA), 2016,
[8] Research on Intelligent Engine Fault Detection Method Based on Machine Learning
Yu, Hui-Yue
Liu, Chang-Yuan
Liu, Jin-Feng
2018 4TH ANNUAL INTERNATIONAL CONFERENCE ON NETWORK AND INFORMATION SYSTEMS FOR COMPUTERS (ICNISC 2018), 2018, : 419 - 423
[9] Fault tree analysis for risk assessment of rocket engine testing process at high altitude test facility
Das D.
Padmanabhan P.
Kalimuthu R.
Sudhakar D.P.
Life Cycle Reliability and Safety Engineering, 2024, 13 (2) : 207 - 229
[10] The Automation of Test Stand for Engine Cooling System Testing
Kneba, Zbigniew
Smieja, Michal
MECHATRONIC SYSTEMS AND MATERIALS: MECHATRONIC SYSTEMS AND ROBOTICS, 2010, 164 : 61 - +

← 1 2 3 4 5 →