Remaining Useful Life Prediction Under Imperfect Prior Degradation Information
نویسندگان
چکیده
منابع مشابه
Remaining useful life estimation under degradation and shock damage
This article presents a prognostic approach to estimate remaining useful life for systems subjected to dependent competing failure processes. In the literature, shock damage is the damage to a soft failure process caused by a shock process. However, how the degradation process causes damage to a hard failure process has not been well studied. In this article, the degradation damage is modeled a...
متن کاملBayesian Approach for Remaining Useful Life Prediction
Prediction of the remaining useful life (RUL) of critical components is a non-trivial task for industrial applications. RUL can differ for similar components operating under the same conditions. Working with such problem, one needs to contend with many uncertainty sources such as system, model and sensory noise. To do that, proposed models should include such uncertainties and represent the bel...
متن کاملAccelerated Degradation Test and Particle Filter Based Remaining Useful Life Prediction
This paper presents a particle filtering based long-term RUL prediction method that integrates two data resources: infield Accelerated Degradation testing (ADT) and field operation. This method improves the usage of historical information and makes accurate residual life prediction compared with conventional regression method. ADT data is used as prior information to establish dynamic system mo...
متن کاملCondition Monitoring and Remaining Useful Life Prediction Using Degradation Signals: Revisited
Condition monitoring is an important prognostic tool to determine the current operation status of the system/device, and to estimate the distribution of the remaining useful life. In this paper, we propose a two-phase model to characterize the degradation process of the rotational bearings. We use the Bayesian framework to integrate historical data with up-to-date in-situ observations of new wo...
متن کاملRemaining Useful Life Prediction of Lithium-ion Battery Degradation for a Hybrid Electric Vehicle
Prognostic activity deals with prediction of the remaining useful life (RUL) of physical systems based on their actual health state and their usage conditions. RUL estimation gives operators a potent tool in decision making by quantifying how much time is left until functionality is lost. In addition, it can be used to improve the characterization of the material proprieties that govern damage ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3030632