التفاصيل البيبلوغرافية
| العنوان: |
Fatigue crack fault diagnosis and prognosis based on hidden semi-Markov model |
| المؤلفون: |
Lei Fan, Shaoping Wang, Haibin Duan, Hongliang Ran |
| المصدر: |
The Journal of Engineering (2018) |
| بيانات النشر: |
Wiley, 2018. |
| سنة النشر: |
2018 |
| المجموعة: |
LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: |
fault diagnosis, gears, remaining life assessment, helicopters, fatigue cracks, hidden Markov models, condition monitoring, exponential distribution, fatigue crack fault diagnosis, hidden semiMarkov model, helicopter main gearbox planet carrier, remaining useful life prediction, prognostic accuracy, Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: |
Aiming at the fault diagnosis and remaining useful life (RUL) prediction of fatigue cracks of a helicopter main gearbox planet carrier, this article proposes a hidden semi-Markov model (HSMM) methodology, which introduces the explicit state durational distribution parameters into the traditional hidden Markov model (HMM), thus overcoming the limitation of exponential distribution in HMM, retaining strong pattern recognition and classification ability, and improving the diagnostic and prognostic accuracy, and the effectiveness of the method was verified through experiments. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2051-3305 |
| Relation: |
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8960; https://doaj.org/toc/2051-3305 |
| DOI: |
10.1049/joe.2018.8960 |
| URL الوصول: |
https://doaj.org/article/5c82f1e05eb6491b9140a17be8bb7c4b |
| رقم الانضمام: |
edsdoj.5c82f1e05eb6491b9140a17be8bb7c4b |
| قاعدة البيانات: |
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