Results 21 to 30 of about 9,187,359 (195)

jiaxiang-cheng/transformer-pytorch-remaining-useful-life-prediction: Pre-release with Minimum Implementation

, 2021
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021).
Jia-Xiang Cheng
core   +1 more source

A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery

Shock and Vibration, 2021
Rolling bearings are key components of rotating machinery, and predicting the remaining useful life (RUL) is of great significance in practical industrial scenarios and is being increasingly studied.
Hailong Lin, Zihao Lei, Guangrui Wen, Xiaojun Tian, Xin Huang, Jinsong Liu, Haoxuan Zhou, Xuefeng Chen   +7 more
doaj   +1 more source

An RUL-informed approach for life extension of high-value assets [PDF]

, 2022
The conventional approaches for life-extension (LE) of industrial assets are largely qualitative and focus only on a few indicators at the end of an asset’s design life.
Shafiee, M., Ochella, S., Sansom C
core   +1 more source

Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach

IEEE Access, 2018
Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven approaches to this problem.
Lei Ren, Li Zhao, Sheng Hong, Shiqiang Zhao, Hao Wang, Lin Zhang   +5 more
doaj   +1 more source

Lithium-ion batteries Remaining Useful Life Prediction Method Considering Recovery Phenomenon

International Journal of Electrochemical Science, 2019
Estimation of lithium battery remaining useful life (RUL) is the key to lithium battery health management. In the process of intermittent discharging lithium batteries, the recovery phenomenon will have a relatively large impact on the life of lithium ...
Zhenyu Zhang, Dongxu Shen, Zhen Peng, Yong Guan, Huimei Yuan, Lifeng Wu   +5 more
doaj   +1 more source

An Optimal Stacking Ensemble for Remaining Useful Life Estimation of Systems Under Multi-Operating Conditions

IEEE Access, 2020
Remaining useful life (RUL) estimation is expected to provide appropriate maintenance for components or systems in industry to improve the reliability of the systems.
Fei Li, Li Zhang, Bin Chen, Dianzhu Gao, Yijun Cheng, Xiaoyong Zhang, Yingze Yang, Kai Gao, Zhiwu Huang   +8 more
doaj   +1 more source

A Transfer Learning-based Approach to Predict the Shelf life of Fruit

Inteligencia Artificial, 2021
Shelf-life prediction for fruits based on the visual inspection and with RGB imaging through external features becomes more pervasive in agriculture and food business.
Varsha Bhole, Arun Kumar
doaj   +1 more source

RUL Prediction of Rolling Bearings Based on a DCAE and CNN

Applied Sciences, 2021
Predicting the remaining useful life (RUL) of mechanical equipment can improve production efficiency while effectively reducing the life cycle cost and failure rate.
Chenyang Wang, Wanlu Jiang, Xukang Yang, Shuqing Zhang   +3 more
doaj   +1 more source

Remaining Useful Life Prediction of the Concrete Piston Based on Probability Statistics and Data Driven

Applied Sciences, 2021
This paper proposes a method on predicting the remaining useful life (RUL) of a concrete piston of a concrete pump truck based on probability statistics and data-driven approaches.
Jie Li, Yuejin Tan, Bingfeng Ge, Hua Zhao, Xin Lu   +4 more
doaj   +1 more source

Life extension of wind turbine drivetrains by means of SCADA data: Case study of generator bearings in an onshore wind farm

Results in Engineering
Accurate predictions for remaining useful life (RUL) of wind turbine drivetrains are crucial in reducing downtime, optimising maintenance strategies, extending operational life and improving costs.
Kelly Tartt, Abbas Mehrad Kazemi-Amiri, Amir R. Nejad, James Carroll, Alasdair McDonald   +4 more
doaj   +1 more source