Probabilistic Monte-Carlo method for modelling and prediction of electronics component life [PDF]
, 2014 Power electronics are widely used in electric vehicles, railway locomotive and new generation aircrafts. Reliability of these components directly affect the reliability and performance of these vehicular platforms.
Alghassi, Ali +3 more
core +1 more source
Predictive Maintenance on the Machining Process and Machine Tool [PDF]
, 2019 This paper presents the process required to implement a data driven Predictive Maintenance (PdM) not only in the machine decision making, but also in data acquisition and processing.
Box +13 more
core +2 more sources
A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification
SensorsRemaining 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 +3 more
doaj +1 more source
Sensors, 2022 Remaining useful life (RUL) of cutting tools is concerned with cutting tool operational status prediction and damage prognosis. Most RUL prediction methods utilized different features collected from different sensors to predict the life of the tool.
Xiao Qin +4 more
doaj +1 more source
Remaining useful life (RUL) prediction of bearing by using regression model and principal component analysis (PCA) technique [PDF]
Vibroengineering Procedia, 2019 A wind turbine works under variable load and environmental conditions because of which failure rate has been on the rise. Failure of a gearbox, an integral part of producing wind energy, contributes to 80 % of the total downtime for the wind turbine.
Apakrita Tayade +4 more
openaire +1 more source
Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion
Scientific Reports, 2022 In turbofan engine datasets, to address problems, such as noise interference, diverse data types, large data volumes, complex feature extraction, inability to effectively describe degradation trends, and poor remaining useful life (RUL) prognosis effects,
Cheng Peng +4 more
doaj +1 more source
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection [PDF]
, 2019 It is important to identify the change point of a system's health status, which usually signifies an incipient fault under development. The One-Class Support Vector Machine (OC-SVM) is a popular machine learning model for anomaly detection and hence ...
Chen, Yuxin +4 more
core +2 more sources
Uncertainty Quantification in Remaining Useful Life of Aerospace Components using State Space Models and Inverse FORM [PDF]
, 2013 This paper investigates the use of the inverse first-order reliability method (inverse- FORM) to quantify the uncertainty in the remaining useful life (RUL) of aerospace components.
Goebel, Kai, Sankararaman, Shankar
core +1 more source
RUL prediction based on a new similarity-instance based approach.
, 2014 International audiencePrognostics is a major activity of Condition-Based Maintenance (CBM) in many industrial domains where safety,reliability and cost reduction are of high importance. The main objective of prognostics is to provide an estimation of the
Khelif, Racha +3 more
core +2 more sources
Supporting group maintenance through prognostics-enhanced dynamic dependability prediction [PDF]
, 2017 Condition-based maintenance strategies adapt maintenance planning through the integration of online condition monitoring of assets. The accuracy and cost-effectiveness of these strategies can be improved by integrating prognostics predictions and ...
Aizpurua, J. I. +9 more
core +1 more source