Results 91 to 100 of about 9,187,359 (195)

A Real-Time Diagnostic System Using a Long Short-Term Memory Model with Signal Reshaping Technology for Ship Propellers

Sensors
This study develops a ship propeller diagnostic system to address the issue of insufficient ship maintenance capacity and enhance operational efficiency.
Sheng-Chih Shen, Chih-Chieh Chao, Hsin-Jung Huang, Yi-Ting Wang, Kun-Tse Hsieh   +4 more
doaj   +1 more source

Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning

, 2019
The Remaining Useful Life (RUL) is typically used as the process of predicting the life span of machine before its failure. The purpose of this project is to develop a predictive analysis system of Remaining Useful Life (RUL) in refinery.
Baharadin, Hazirah
core  

Prediction of remaining useful life of a wing of an aircraft using the twice yield method

, 2021
Due to the increasing cost in aircraft maintenance, the aircrafts are required to operate beyond their design life. But using the aircraft beyond design values could risk the operation of the aircraft.
Mohammed, Viquar Younus
core   +1 more source

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model. [PDF]

PLoS One, 2020
Ghomghaleh A, Khaloukakaie R, Ataei M, Barabadi A, Nouri Qarahasanlou A, Rahmani O, Beiranvand Pour A.   +6 more
europepmc   +1 more source

Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction

Machines
Bearings are critical components in mechanical systems, and their degradation process typically exhibits distinct stages, making stage-based remaining useful life (RUL) prediction highly valuable.
Guangzhong Huang, Wenping Lei, Xinmin Dong, Dongliang Zou, Shijin Chen, Xing Dong   +5 more
doaj   +1 more source

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

Hybrid Neural Networks for Enhanced Predictions of Remaining Useful Life in Lithium-Ion Batteries

Batteries
With the proliferation of electric vehicles (EVs) and the consequential increase in EV battery circulation, the need for accurate assessments of battery health and remaining useful life (RUL) is paramount, driven by environmentally friendly and ...
Alireza Rastegarparnah, Mohammed Eesa Asif, Rustam Stolkin   +2 more
doaj   +1 more source

A Hybrid Genetic Algorithm–Particle Filter for Fatigue Crack Propagation Prediction

Applied Sciences
Fatigue crack propagation prediction plays a critical role in structural health monitoring and remaining useful life (RUL) assessment of engineering structures. However, conventional particle filter (PF) algorithms may suffer from particle impoverishment
Mei Li, Xiao Wu, Yuexi Liu, Jue Wang, Beng Ma   +4 more
doaj   +1 more source

Remaining Useful Life Prediction of Fracturing Truck Valve Bodies Based on the CB2-RUL Algorithm

Computation
The triplex reciprocating drilling pump is a critical piece of equipment in drilling platforms, and the operational condition of its core component—the valve body—directly affects the pump’s performance and the stability of the entire system. Therefore, accurate prediction of the valve body’s Remaining Useful Life (RUL) is of great significance for ...
Xinyue Chen, Jishun Ren, Yang Wang, Jiquan He, Xuyou Guo, Gantailai Ye   +5 more
openaire   +2 more sources

Remaining Useful Life (RUL) Estimation for Lithium-Ion Battery Using Extreme Learning Machine

International Journal of Environmental Sciences
Study proposes a new method for predicting the remaining useful life (RUL) of lithium-ion batteries using the Extreme Learning Machine (ELM) algorithm by employing advanced feature extraction techniques to identify critical parameters influencing battery degradation.
Vimal Singh Bisht, Atul jaysing Patil, Kiran Kumar, Abhishek Thapliyal, Sandeep Sunori,, Md Waseem Ahmad, Md Fahim Ansari   +6 more
openaire   +1 more source