Academic Journal

Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines

التفاصيل البيبلوغرافية
العنوان: Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines
المؤلفون: Tao Wang, Lin Ding, Huahuang Yu
المصدر: Aerospace; Volume 9; Issue 9; Pages: 481
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: liquid rocket engine, fault diagnosis methods, approaches using AI, model-driven approach, methods using signal processing
الوصف: Currently, considerable efforts are being focused on the development of reusable rockets and smart rockets due to the heavy requirements of future next-generation aerospace transportation. Safety, low-launching cost, and repeatability are expected from liquid rocket for fulfilling the big dreams of space transportation, exploration, and travelling. Therefore, research on fault detection of the liquid rocket engines (LRE) is critical for satisfying the above claims. Therefore, a comprehensive survey on the research and development of fault diagnosis systems and methods for the liquid rocket engines is presented. First, development history of liquid rocket engine diagnostic systems is reviewed thoroughly. Then three broad headings of the fault detection approaches of liquid rocket engines are divided through the summary and analysis of the existing methods, including approaches using signal processing, model-driven approach, and approach using artificial intelligence (AI). Then the paper discusses the concrete algorithms according to the classification features of the algorithms. In the end, the future developments of the fault detection approaches are presented, which will mainly pay attention to the reusability and intelligence of the rockets.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Astronautics & Space Science; https://dx.doi.org/10.3390/aerospace9090481
DOI: 10.3390/aerospace9090481
الاتاحة: https://doi.org/10.3390/aerospace9090481
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.953ACB3A
قاعدة البيانات: BASE
الوصف
DOI:10.3390/aerospace9090481