Results 101 to 110 of about 26,953 (213)
International Journal of Computer Science and Mobile ComputingIn this paper, a lightweight Autoencoder-LSTM is provided to predict Remaining Useful Life (RUL) of bearings in real-life circumstances with noisy sensors and a small amount of labeled information. The method involves unsupervised health indicator (HI) construction and time modelling that is supervised.
Vishwa Kiran K H +3 more
openaire +1 more source
IEEE AccessThe prediction of the remaining useful life (RUL) of mechanical equipment is of vital importance to its operation and maintenance. Deep learning methods can effectively extract degradation information closely related to equipment RUL from extensive ...
Xiaojia Yan, Weige Liang, Shiyan Sun
doaj +1 more source
Cyclic monitoring of the Remaining Useful Life RUL for the Bearing fault prognosis
, 2023 Over the last decades, Prognostics has played a dominant role in preventive maintenance inmanufacturing. It usually involves estimating the Remaining Useful Life (RUL) or the Time to Failure (TTF)of mechanical systems. In Prognosis, the analysis could often be purely data-driven (Trend Analysis). Itrequires a vast data set and offers the double benefit
openaire +1 more source
Assessment of overall remaining useful life of lubricants by integrating oil quality and performance
HeliyonEffective lubricant health monitoring programs are essential for extending the lifespan of both the lubricant and machinery. An accurate and reliable remaining useful life (RUL) prediction is necessary for maintenance decision support. The degradation of
Wasan Chokelarb +3 more
doaj +1 more source
Methods of Technical Prognostics Applicable to Embedded Systems [PDF]
, 2012 Hlavní cílem dizertace je poskytnutí uceleného pohledu na problematiku technické prognostiky, která nachází uplatnění v tzv. prediktivní údržbě založené na trvalém monitorování zařízení a odhadu úrovně degradace systému či jeho zbývající životnosti a to ...
Krupa, Miroslav
core
CNC Machine Tool's wear diagnostic and prognostic by using dynamic bayesian networks.
, 2012 International audienceThe failure of critical components in industrial systems may have negative consequences on the availability, the productivity, the security and the environment.
Medjaher, Kamal +2 more
core +3 more sources
MachinesBearings 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 +5 more
doaj +1 more source
Hybrid Neural Networks for Enhanced Predictions of Remaining Useful Life in Lithium-Ion Batteries
BatteriesWith 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 +2 more
doaj +1 more source
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
Novel failure prognostics approach with dynamic thresholds for machine degradation.
, 2013 International audienceEstimating remaining useful life (RUL) of critical machinery is a challenging task. It is achieved through essential steps of data acquisition, data pre-processing and prognostics modeling.
Gouriveau, Rafael +2 more
core +1 more source