Results 91 to 100 of about 20,775 (227)

Remaining Useful Life Prediction Based on Deep Learning: A Survey

Italian National Conference on Sensors
Remaining useful life (RUL) is a metric of health state for essential equipment. It plays a significant role in health management. However, RUL is often random and unknown.
Fuhui Wu, Qingbo Wu, Yusong Tan, Xinghua Xu   +3 more
semanticscholar   +1 more source

A Novel Method for Remaining Useful Life Prediction of RF Circuits Based on the Gated Recurrent Unit–Convolutional Neural Network Model

Sensors
The remaining useful life (RUL) prediction of RF circuits is an important tool for circuit reliability. Data-driven-based approaches do not require knowledge of the failure mechanism and reduce the dependence on knowledge of complex circuits, and thus ...
Wanyu Yang, Kunping Wu, Bing Long, Shulin Tian   +3 more
doaj   +1 more source

A Study on Remaining Useful Life Prediction for Prognostic Applications [PDF]

, 2011
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
Liu, Gang
core   +1 more source

Major challenges in prognostics: study on benchmarking prognostic datasets [PDF]

, 2012
Even though prognostics has been defined to be one of the most difficult tasks in Condition Based Maintenance (CBM), many studies have reported promising results in recent years.
Camci, Faith, Eker, Ömer Faruk, Jennions, Ian K.   +2 more
core  

Battery Remaining Useful Life Prediction Using Machine Learning Models: A Comparative Study

Inf.
Predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries is crucial to preventing system failures and enhancing operational performance.
Vahid Safavi, Arash Mohammadi Vaniar, Najmeh Bazmohammadi, J. Vasquez, Josep M. Guerrero   +4 more
semanticscholar   +1 more source

Improving data-driven prognostics by assessing predictability of features.

, 2011
International audienceWithin condition based maintenance (CBM), the whole aspect of prognostics is composed of various tasks from multidimensional data to remaining useful life (RUL) of the equipment.
Gouriveau, Rafael, Javed, Kamran, Zemouri, Ryad, Zerhouni, Noureddine   +3 more
core   +1 more source

基于无迹卡尔曼滤波的直升机主减速器剩余安全寿命预测

Jixie chuandong, 2014
An efficient remaining useful life（RUL）can provide key information for manager to make preventive maintenance strategy and prevent equipment unexpected downtime.Aim to nonlinear state process of equipment and real-time demand of life prediction in ...
林国语, 贾云献, 孙磊
doaj  

Remaining Life Prediction of Bearings Based on Improved IF-SCINet

IEEE Access
In the field of health management, predicting the remaining useful life (RUL) of a device becomes critical. However, the RUL prediction process is often affected by a various of confounding factors, resulting in reduced prediction accuracy.
Jing Zhang, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu   +5 more
doaj   +1 more source

A remaining useful life prediction and maintenance decision optimal model based on Gamma process [PDF]

, 2016
Aiming at the practical problem of maintenance decision-making, the remaining useful life (RUL) prediction method and the maintenance decision optimization model are studied emphatically.
Sheng Pang, Yunxian Jia
core  

A Dual-Scale Transformer-Based Remaining Useful Life Prediction Model in Industrial Internet of Things

IEEE Internet of Things Journal
With recent advances of Industrial Internet of Things (IIoT), the connectivity and data collection capabilities of industrial equipment have be significantly enhanced, yet bringing new challenges for the remaining useful life (RUL) prediction. To fulfill
Junhuai Li, Kan Wang, Xiangwang Hou, Dapeng Lan, Yunwen Wu, Huaijun Wang, Lei Liu, Shahid Mumtaz   +7 more
semanticscholar   +1 more source