Gaussian process regression based remaining fatigue life prediction for metallic materials under two-step loading

Cumulative Damage and Life Prediction Models for High-Cycle Fatigue of Metals: A Review

(2021) Kris Hectors et al.   Metals

Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks

(2021) Tobias Strohmann et al.   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

Estimation of remaining fatigue life under multistep loading based on kernel-extreme learning machine

(2021) Lei Gan et al.   INTERNATIONAL JOURNAL OF FATIGUE

Bearing degradation assessment and remaining useful life estimation based on Kullback-Leibler divergence and Gaussian processes regression

(2021) prem shankar kumar et al.   MEASUREMENT

Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression

(2021) Maor Farid   INTERNATIONAL JOURNAL OF FATIGUE

Prediction of surface residual stress in end milling with Gaussian process regression

(2021) Minghui Cheng et al.   MEASUREMENT

Machine learning-based predictions of fatigue life and fatigue limit for steels

(2021) Lei He et al.   JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY

Gaussian Process Surrogate Model with Composite Kernel Learning for Engineering Design

(2020) Pramudita Satria Palar et al.   AIAA JOURNAL

An adaptive probabilistic data-driven methodology for prognosis of the fatigue life of composite structures

(2020) Nick Eleftheroglou et al.   COMPOSITE STRUCTURES

Life prediction for rate-dependent low-cycle fatigue of PA6 polymer considering ratchetting: Semi-empirical model and neural network based approach

(2020) Jingye Yang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network

(2020) Joelton Fonseca Barbosa et al.   INTERNATIONAL JOURNAL OF FATIGUE

Predictions and mechanism analyses of the fatigue strength of steel based on machine learning

(2020) Feng Yan et al.   JOURNAL OF MATERIALS SCIENCE

Similarity-based deep learning approach for remaining useful life prediction

(2020) Mengru Hou et al.   MEASUREMENT

Isodamage curve-based fatigue damage accumulation model considering the exhaustion of static toughness

(2020) Fu-Long Xia et al.   ENGINEERING FAILURE ANALYSIS

An artificial neural network modeling approach for short and long fatigue crack propagation

(2020) S.N.S. Mortazavi et al.   COMPUTATIONAL MATERIALS SCIENCE

Prediction of fatigue–crack growth with neural network-based increment learning scheme

(2020) Xinran Ma et al.   ENGINEERING FRACTURE MECHANICS

Gaussian process regression for fatigue reliability analysis of offshore wind turbines

(2020) David Wilkie et al.   STRUCTURAL SAFETY

Probabilistic physics-guided machine learning for fatigue data analysis

(2020) Jie Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Experimental validation of an ANN model for random loading fatigue analysis

(2019) S. Ramachandra et al.   INTERNATIONAL JOURNAL OF FATIGUE

Nonlinear fatigue damage accumulation: Isodamage curve-based model and life prediction aspects

(2019) Shun-Peng Zhu et al.   INTERNATIONAL JOURNAL OF FATIGUE

High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach

(2019) Meng Zhang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Use of artificial neural network to assess the effect of mean stress on fatigue of overhead conductors

(2018) Mielle Silva Pestana et al.   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

Failure detection technique under random fatigue loading by machine learning and dual sensing on symmetric structure

(2018) Dong-Won Jang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Artificial neural network for random fatigue loading analysis including the effect of mean stress

(2018) J.F. Durodola et al.   INTERNATIONAL JOURNAL OF FATIGUE

Effects of parameter estimation techniques and uncertainty on the selection of fatigue crack growth model

(2018) S. Chowdhury et al.   Structures

Gaussian process regression for forecasting battery state of health

(2017) Robert R. Richardson et al.   JOURNAL OF POWER SOURCES

Loading sequence effect on fatigue life of Type 316 stainless steel

(2015) Masayuki Kamaya et al.   INTERNATIONAL JOURNAL OF FATIGUE

Fatigue life prediction under variable loading based on a new damage model

(2010) A. Aid et al.   MATERIALS & DESIGN