Results 81 to 90 of about 10,541,846 (196)

Leading the Pack: Next‐Generation Batteries for Humanoid Robotics

Advanced Science, Volume 13, Issue 47, 24 August 2026.
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider, Jiaqi Ke, Jin Luo, Laisuo Su, Thomas Campbell, Yue Zhou, Kyeongjae Cho   +6 more
wiley   +1 more source

Sequential Network with Residual Neural Network for Rotatory Machine Remaining Useful Life Prediction Using Deep Transfer Learning

Shock and Vibration, 2020
Deep learning has a strong feature learning ability, which has proved its effectiveness in fault prediction and remaining useful life prediction of rotatory machine.
Hao Zhang, Qiang Zhang, Siyu Shao, Tianlin Niu, Xinyu Yang, Haibin Ding   +5 more
doaj   +1 more source

Prediction of remaining useful life for mech equipment using regression [PDF]

, 2019
Maintenance has always been an important function in any manufacturing operations. Recently, Condition Based Maintenance (CBM) prognosis approach is gaining popularity in prediction of mechanical equipment remaining useful life (RUL). However, there is a
Hamid, M. F. A., Hassan, A., Zaman, M., A. Bakir, A.   +3 more
core   +1 more source

Similarity-based Brownian Motion Approach for Remaining Useful Life Prediction

, 2021
International audienceThis paper proposes a data-driven framework for Remaining Useful Life (RUL) prediction of an operating equipment unit in the case of noisy and limited data. It consists of introducing the Brownian Motion model (BM) in the similarity
Pinaton, Jacques, Guillaume Graton, El Jamal, Dima, Dima El Jamal, Graton, Guillaume, Ouladsine, Mustapha, Bouchra Ananou, Jacques Pinaton, Ananou, Bouchra, Mustapha Ouladsine   +9 more
core   +1 more source

Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning

Complexity, 2018
Because they are key components of aircraft, improving the safety, reliability and economy of engines is crucial. To ensure flight safety and reduce the cost of maintenance during aircraft engine operation, a prognostics and health management system that
Jian Ma, Hua Su, Wan-lin Zhao, Bin Liu
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  

Prediction of Mining Railcar Remaining Useful Life

, 2019
Railcar or Rolling stock that is referring to all vehicles moving on railway, is one of the most important component of the rail transport system.
Behzad Ghodrati, Mohammad Javad Rahimdel, Amir Taghizadeh Vahed, Ghodrati, Behzad,, Rahimde, Mohammad Javad,, Taghizadeh Vahed, Amir,   +5 more
core   +1 more source

FDBRP: A Data–Model Co-Optimization Framework Towards Higher-Accuracy Bearing RUL Prediction

Sensors
This paper proposes Feature fusion and Dilated causal convolution model for Bearing Remaining useful life Prediction (FDBRP), an integrated framework for accurate Remaining Useful Life (RUL) prediction of rolling bearings that combines three key ...
Muyu Lin, Qing Ye, Shiyue Na, Dongmei Qin, Xiaoyu Gao, Qiang Liu   +5 more
doaj   +1 more source

BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction

Prognostic and Health Management (PHM) are crucial ways to avoid unnecessary maintenance for Cyber-Physical Systems (CPS) and improve system reliability. Predicting the Remaining Useful Life (RUL) is one of the most challenging tasks for PHM. Existing methods require prior knowledge about the system, contrived assumptions, or temporal mining to model ...
Zekai Zhang, Dan Li, Shunyu Wu, Junya Cai, Bo Zhang, See Kiong Ng, Zibin Zheng   +6 more
openaire   +3 more sources

Remaining useful life prediction: from statistical modeling to federated approach

, 2022
Smart manufacturing is getting increasingly popular in different areas, including aircraft systems, uninterruptible power supply systems, hydraulic systems, etc. Meanwhile, the capability of intelligent machines doing edge computing is growing rapidly.
Gan, Xin
core