Results 31 to 40 of about 10,541,846 (196)

Remaining useful life prediction for ball bearings based on health indicators [PDF]

MATEC Web of Conferences, 2019
Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches.
Al Masry Zeina, Schaible Patrick, Zerhouni Noureddine, Varnier Christophe   +3 more
doaj   +1 more source

Bearing Remaining Useful Life Prediction Based on NAP-HSMM [PDF]

, 2023
The prediction of remaining useful life (RUL) is the most challenge task in the area of reliability and safety of rolling bearing. Nuisance attribute projection (NAP) is used in this paper to eliminate the impact of operating conditions in vibration ...
Wang, Sh.
core   +2 more sources

Remaining useful life prediction of rotating equipment using covariate-based hazard models : Industry applications [PDF]

, 2017
The ability to estimate the expected Remaining Useful Life (RUL) is critical to reduce maintenance costs, operational downtime and safety hazards. In most industries, reliability analysis is based on the Reliability Centred Maintenance (RCM) and lifetime
Yarlagadda, Prasad K., Mittinty, Murthy, Yarlagadda, Prasad, Gorjian, Nima, Sun, Yong, Ma, Lin   +5 more
core   +2 more sources

Remaining Useful Life Prediction Method for Electric Submersible Pump System Based on DA-RNN

Shiyou jixie
Electric submersible pump （ESP） is the main artificial lift equipment in offshore oilfields. Its operation and maintenance costs are extremely high. Once it gets out of order， it will cause losses to oilfield operations.
Yu Jifei, Ji Yuchen, Lu Xin, Sui Xianfu, Peng Jianlin, Han Guoqing, Yang Yang   +6 more
doaj   +3 more sources

jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction: LSTM for RUL Prediction

, 2021
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June).
Jia-Xiang Cheng
core   +1 more source

Remaining Useful Life Prediction of Nuclear Power Machinery Based on an Exponential Degradation Model

Science and Technology of Nuclear Installations, 2022
Aiming at solving the problems of small fault data samples and insufficient remaining useful life (RUL) prediction accuracy of nuclear power machinery, a method based on an exponential degradation model is proposed to predict the RUL of equipment after ...
Gaojun Liu, Weijie Fan, Fenglei Li, Gaixia Wang, Dongdong You   +4 more
doaj   +1 more source

A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification

Sensors
Remaining Useful Life (RUL) prediction is a crucial task in predictive maintenance. Currently, gated recurrent networks, hybrid models, and attention-enhanced models used for predictive maintenance face the challenge of balancing prediction accuracy and ...
Lilu Wang, Yongqi Li, Haiyuan Liu, Taihui Liu   +3 more
doaj   +1 more source

Predictive Analysis of Remaining Useful Life (RUL) of Batteries: Review

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
The increasing reliance on batteries for electric vehicles, renewable energy systems, and consumer electronics has necessitated advancements in predictive models for their Remaining Useful Life (RUL). This paper reviews current methodologies for RUL prediction, focusing on machine learning techniques, data-driven approaches, and hybrid models that ...
Sakshi Belkhode, Dr. P.M. Chaudhari, Anjali Meshram, Krutika Nikhare, Shrushti Rangari, Sakshi Chimurkar   +5 more
openaire   +1 more source

Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures

Advanced Functional Materials, EarlyView.
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash, Rituparna Mohanty, Jack Leber, David Nageb, Mirella Richard, Sharan Singh, Amin Reihani   +6 more
wiley   +1 more source

Innovative methods predicting the remaining useful life of transformer using limited data

Array
Electricity is essential in today's life, with electricity consumption expected to increase by up to 80% by 2024, making transformers essential. In developing countries, power transformers in power plants are often not regularly monitored, making the ...
Nur Avika Febriani, Ika Noer Syamsiana, Rachmat Sutjipto, Arwin Datumaya Wahyudi Sumari, Chandra Wiharya, Rhezal Agung Ananto, Rahma Nur Amalia   +6 more
doaj   +1 more source