Corrosion analysis and remaining useful life prediction for storage tank bottom
نویسندگان
چکیده
منابع مشابه
Bayesian 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 کاملA Study on Remaining Useful Life Prediction for Prognostic Applications
We consider the prediction algorithm and performance evaluation for prognostics and health management (PHM) problems, especially the prediction of remaining useful life (RUL) for the milling machine cutter and lithium‐ion battery. We modeled battery as a voltage source and internal resisters. By analyzing voltage change trend during discharge, we made the prediction of battery remain discharge ...
متن کاملA Similarity-based Prognostics Approach for Remaining Useful Life Prediction
Physics-based and data-driven models are the two major prognostic approaches in the literature with their own advantages and disadvantages. This paper presents a similarity-based data-driven prognostic methodology and efficiency analysis study on remaining useful life estimation results. A similarity-based prognostic model is modified to employ the most similar training samples for RUL estimati...
متن کاملMethodologies for system-level remaining useful life prediction
While most prognostics approaches focus on accurate computation of the degradation rate and the Remaining Useful Life (RUL) of individual components, it is the rate at which the performance of subsystems and systems degrade that is of greater interest to the operators and maintenance personnel of these systems. Accurate and reliable predictions make it possible to plan the future operations of ...
متن کاملGear Remaining Useful Life Prediction Based on Grey Neural Network
The condition monitoring data of gears is asymmetric distributed, moreover, sampling is usually conducted discontinuously in practice. Thus makes it difficult to predict gear remaining useful life accurately considering the two reasons above. In this paper, a fusion method is proposed using Elman Neural Network to modify residual series of grey model since Elman Neural Network performs better o...
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: International Journal of Advanced Robotic Systems
سال: 2019
ISSN: 1729-8814,1729-8814
DOI: 10.1177/1729881419877051