Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch
المؤلفون المشاركون
Ge, Chenglong
Zhu, Yuanchang
Di, Yanqiang
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-12
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Equipment parallel simulation is an emerging simulation technology in recent years, and equipment remaining useful life (RUL) prediction oriented parallel simulation is an important branch of parallel simulation.
An important concept in equipment parallel simulation is the model evolution driven by real-time data, including model selection and model parameter evolution.
The current research on equipment RUL prediction oriented parallel simulation mainly focuses on a single continuous degradation mode, such as linear degradation and nonlinear degradation.
Under this degradation condition, the model parameter evolution methods in parallel simulation can effectively predict equipment RUL.
However, in practice, most of the equipment degradation processes exhibit a mixture of continuous degradation and discrete shock.
So this requires adaptive selection of simulation models based on real-time degradation data.
In this paper, the hybrid degradation equipment RUL prediction oriented parallel simulation considering model soft switch is studied.
Firstly, under the modeling framework of the state space model (SSM), two kinds of degradation simulation models are established using the Wiener process and Poisson effect.
Driven by the real-time degradation data, the model probability is calculated by using the forward interactive multiple model filtering algorithm to realize the model soft switch and data assimilation.
On the basis of model soft switch, the expectation maximization algorithm is utilized to achieve model parameter evolution.
Through the iteration between model soft switch and model parameter evolution, the simulation fidelity can be effectively improved and the actual equipment degradation state is continuously approached.
According to the full probability theorem and the concept of first hitting time, the simulated degradation state distribution is integrated into the inverse Gaussian distribution.
Then the analytical expression of the RUL probability density function is obtained to achieve RUL real-time prediction.
Finally, a case study was conducted by using a bearing degradation data.
The results show that the parallel simulation can effectively model the hybrid degradation process of the bearing.
Compared with the single-model method that only considers the model parameter evolution, the RUL obtained by the method proposed in this paper has higher prediction accuracy and smaller uncertainty.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ge, Chenglong& Zhu, Yuanchang& Di, Yanqiang. 2019. Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1129664
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ge, Chenglong…[et al.]. Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1129664
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ge, Chenglong& Zhu, Yuanchang& Di, Yanqiang. Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1129664
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129664
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر