Machine learning for reliability engineering and safety applications: Review of current status and future opportunities

Potential, challenges and future directions for deep learning in prognostics and health management applications

(2020) Olga Fink et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

An active learning method combining deep neural network and weighted sampling for structural reliability analysis

(2020) Zhengliang Xiang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep reinforcement learning-based sampling method for structural reliability assessment

(2020) Zhengliang Xiang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Mobility-aware load Balancing for Reliable Self-Organization Networks: Multi-agent Deep Reinforcement Learning

(2020) Amin Mohajer et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Application of a self-organizing map to identify the turbulent-boundary-layer interface in a transitional flow

(2019) Zhao Wu et al.   Physical Review Fluids

Degradation state mining and identification for railway point machines

(2019) Chong Bian et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems

(2019) Felipe Leno Da Silva et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Managing engineering systems with large state and action spaces through deep reinforcement learning

(2019) C.P. Andriotis et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction based on health index similarity

(2019) Yingchao Liu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Machine learning approach for risk-based inspection screening assessment

(2019) Andika Rachman et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

(2019) Jinglong Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Safe semi-supervised learning: a brief introduction

(2019) Yu-Feng Li et al.   Frontiers of Computer Science

A hybrid prognostic method for system degradation based on particle filter and relevance vector machine

(2019) Yang Chang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Comparison of automatic and guided learning for Bayesian networks to analyse pipe failures in the water distribution system

(2019) Kayu Tang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering

(2019) S. Gerassis et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A new dynamic predictive maintenance framework using deep learning for failure prognostics

(2019) Khanh T.P. Nguyen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Efficient methods by active learning Kriging coupled with variance reduction based sampling methods for time-dependent failure probability

(2019) Chunyan Ling et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation

(2019) Jinhao Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

Forest fire induced Natech risk assessment: A survey of geospatial technologies

(2019) Mohsen Naderpour et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Semi-supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions

(2018) Roozbeh Razavi-Far et al.   IEEE Transactions on Industrial Informatics

Global Sensitivity Analysis and Uncertainty Quantification of Crude Distillation Unit Using Surrogate Model Based on Gaussian Process Regression

(2018) Le Quang Minh et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Big Data and Machine Learning in Health Care

(2018) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

(2018) Eric Schulz et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Implementing Machine Learning in Health Care — Addressing Ethical Challenges

(2018) Danton S. Char et al.   NEW ENGLAND JOURNAL OF MEDICINE

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Approximate Bayesian network formulation for the rapid loss assessment of real-world infrastructure systems

(2018) Pierre Gehl et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines

(2018) M.M. Manjurul Islam et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Dirt and mud detection and diagnosis on a wind turbine blade employing guided waves and supervised learning classifiers

(2018) Alfredo Arcos Jiménez et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Reliability and reliability-based importance analysis of structural systems using multiple response Gaussian process model

(2018) Pengfei Wei et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Software reliability prediction using a deep learning model based on the RNN encoder–decoder

(2018) Jinyong Wang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Data-driven learning framework for associating weather conditions and wind turbine failures

(2018) Maik Reder et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

System reliability analysis through active learning Kriging model with truncated candidate region

(2018) Xufeng Yang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

(2018) H. M. Dipu Kabir et al.   IEEE Access

Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm

(2018) Di Zhang et al.   JOURNAL OF HYDROLOGY

Developing ladder network for intelligent evaluation system: Case of remaining useful life prediction for centrifugal pumps

(2018) Rui He et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Artificial intelligence, machine learning and health systems

(2018) Trishan Panch et al.   Journal of Global Health

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture

(2018) André Listou Ellefsen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Machine learning of fire hazard model simulations for use in probabilistic safety assessments at nuclear power plants

(2018) Clarence Worrell et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A general failure-pursuing sampling framework for surrogate-based reliability analysis

(2018) Chen Jiang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A reliability model for assessing corporate governance using machine learning techniques

(2018) Elvis Hernandez-Perdomo et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Multi-fidelity Gaussian process regression for prediction of random fields

(2017) L. Parussini et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Survey of Model-Based Reinforcement Learning: Applications on Robotics

(2017) Athanasios S. Polydoros et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

(2017) Guoqing Gui et al.   KSCE Journal of Civil Engineering

A review of clustering techniques and developments

(2017) Amit Saxena et al.   NEUROCOMPUTING

Accelerated Monte Carlo system reliability analysis through machine-learning-based surrogate models of network connectivity

(2017) R.E. Stern et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction of aircraft engine based on degradation pattern learning

(2017) Zeqi Zhao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

LIF: A new Kriging based learning function and its application to structural reliability analysis

(2017) Zhili Sun et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An artificial neural network-based condition monitoring method for wind turbines, with application to the monitoring of the gearbox

(2017) P. Bangalore et al.   WIND ENERGY

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Label consistent semi-supervised non-negative matrix factorization for maintenance activities identification

(2016) Xiaodong Feng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Bearing fault recognition method based on neighbourhood component analysis and coupled hidden Markov model

(2016) Haitao Zhou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Particle filter-based prognostics: Review, discussion and perspectives

(2016) Marine Jouin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Active learning surrogate models for the conception of systems with multiple failure modes

(2016) G. Perrin   RELIABILITY ENGINEERING & SYSTEM SAFETY

Graph-Based Semi-supervised Learning for Fault Detection and Classification in Solar Photovoltaic Arrays

(2015) Ye Zhao et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

(2015) P.J. García Nieto et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Advances in natural language processing

(2015) J. Hirschberg et al.   SCIENCE

Optimum inspection and maintenance policies for corroded structures using partially observable Markov decision processes and stochastic, physically based models

(2014) K.G. Papakonstantinou et al.   PROBABILISTIC ENGINEERING MECHANICS

Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part I: Theory

(2014) K.G. Papakonstantinou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Early detection of gradual concept drifts by text categorization and Support Vector Machine techniques: The TRIO algorithm

(2014) M. Marseguerra   RELIABILITY ENGINEERING & SYSTEM SAFETY

Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part II: POMDP implementation

(2014) K.G. Papakonstantinou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 2: Application examples

(2013) Meik Schlechtingen et al.   APPLIED SOFT COMPUTING

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks

(2013) Yi-Ping Fang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Predicting component reliability and level of degradation with complex-valued neural networks

(2013) Olga Fink et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description

(2012) Meik Schlechtingen et al.   APPLIED SOFT COMPUTING

Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique

(2012) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients

(2012) Ivo Grondman et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Damage classification in structural health monitoring using principal component analysis and self-organizing maps

(2012) D. A. Tibaduiza et al.   Structural Control & Health Monitoring

A Benefit/Cost/Deficit (BCD) model for learning from human errors

(2011) Frédéric Vanderhaegen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Failure and reliability prediction by support vector machines regression of time series data

(2011) Márcio das Chagas Moura et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

(2010) Jordi Mũnoz-Marí et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Physics-of-failure-based prognostics for electronic products

(2009) Michael Pecht et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Hierarchical adaptive experimental design for Gaussian process emulators

(2008) Daniel Busby   RELIABILITY ENGINEERING & SYSTEM SAFETY

Reliability engineering: Old problems and new challenges

(2008) E. Zio   RELIABILITY ENGINEERING & SYSTEM SAFETY