Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

A dual-LSTM framework combining change point detection and remaining useful life prediction

(2020) Zunya Shi et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Degradation state mining and identification for railway point machines

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

A novel purity-based k nearest neighbors imputation method and its application in financial distress prediction

(2019) Ching-Hsue Cheng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Remaining useful life prediction based on health index similarity

(2019) Yingchao Liu 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

An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells

(2019) D. Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Robust on-line diagnosis tool for the early accident detection in nuclear power plants

(2019) Silvia Tolo et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Hashing with Mutual Information

(2019) Fatih Cakir et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Change point and fault detection using Kantorovich Distance

(2019) Sanjula Kammammettu et al.   JOURNAL OF PROCESS CONTROL

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

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

A two-level Bayesian early fault detection for mechanical equipment subject to dependent failure modes

(2019) Chaoqun Duan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements

(2019) Mingjing Xu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty

(2019) Weiwen Peng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Prediction of pipe failures in water supply networks using logistic regression and support vector classification

(2019) Alicia Robles-Velasco et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model

(2019) Yingjun Deng et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0

(2019) Michele Compare et al.   IEEE Internet of Things Journal

Study on nonlinear dynamic characteristics inherent in offshore jacket platform using long-term monitored response of ice-structure interaction

(2018) Bingsen Wang et al.   APPLIED OCEAN RESEARCH

Unsupervised Deep Learning of Compact Binary Descriptors

(2018) Kevin Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Analysis of Spatio-temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks

(2018) Omar Costilla Reyes et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Feedback Convolutional Neural Network for Visual Localization and Segmentation

(2018) Chunshui Cao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A novel hybrid of auto-associative kernel regression and dynamic independent component analysis for fault detection in nonlinear multimode processes

(2018) Jungwon Yu et al.   JOURNAL OF PROCESS CONTROL

Remaining useful life estimation in prognostics using deep convolution neural networks

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

Fault detection and identification method using observer-based residuals

(2018) Haedong Jeong et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models

(2018) Wasim Ahmad et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering

(2018) Marcia Baptista 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

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

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

Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons

(2018) Yajing Zheng et al.   IEEE Transactions on Neural Networks and Learning Systems

Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation

(2018) Wanqi Yang et al.   IEEE Transactions on Neural Networks and Learning Systems

Detection of weak transient signals based on unsupervised learning for bearing fault diagnosis

(2018) Longting Chen et al.   NEUROCOMPUTING

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

Bayesian multi-task learning methodology for reconstruction of structural health monitoring data

(2018) Hua-Ping Wan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An integrated imputation-prediction scheme for prognostics of battery data with missing observations

(2018) Roozbeh Razavi-Far et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault diagnosis approach for photovoltaic arrays based on unsupervised sample clustering and probabilistic neural network model

(2018) Honglu Zhu et al.   SOLAR ENERGY

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

Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds

(2018) Austin Downey et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems

(2018) Te Han et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Real-time condition monitoring and fault detection of components based on machine-learning reconstruction model

(2018) Chunzhen Yang et al.   RENEWABLE ENERGY

On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests

(2017) Aaditya Ramdas et al.   Entropy

Optimal Mass Transport: Signal processing and machine-learning applications

(2017) Soheil Kolouri et al.   IEEE SIGNAL PROCESSING MAGAZINE

Sensor Fault Diagnosis for Structural Health Monitoring Based on Statistical Hypothesis Test and Missing Variable Approach

(2017) Hai-Bin Huang et al.   JOURNAL OF AEROSPACE ENGINEERING

Architecture for hybrid modelling and its application to diagnosis and prognosis with missing data

(2017) Urko Leturiondo et al.   MEASUREMENT

A SVM framework for fault detection of the braking system in a high speed train

(2017) Jie Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM

(2017) Ke Yan et al.   NEUROCOMPUTING

System dynamic reliability assessment and failure prognostics

(2017) Jie Liu 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

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

A Machine Learning Decision-Support System Improves the Internet of Things’ Smart Meter Operations

(2017) Joseph Siryani et al.   IEEE Internet of Things Journal

The cumulative distribution transform and linear pattern classification

(2017) Se Rim Park et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

A simple feedforward convolutional conceptor neural network for classification

(2017) Guangwu Qian et al.   APPLIED SOFT COMPUTING

A SVR-based ensemble approach for drifting data streams with recurring patterns

(2016) Jie Liu et al.   APPLIED SOFT COMPUTING

Sensitivity analysis: A review of recent advances

(2016) Emanuele Borgonovo et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Some Challenges and Opportunities in Reliability Engineering

(2016) Enrico Zio   IEEE TRANSACTIONS ON RELIABILITY

A survey of network anomaly detection techniques

(2016) Mohiuddin Ahmed et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management

(2016) Surya Teja Kandukuri et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

IoT-Based Prognostics and Systems Health Management for Industrial Applications

(2016) Daeil Kwon et al.   IEEE Access

Edge Computing: Vision and Challenges

(2016) Weisong Shi et al.   IEEE Internet of Things Journal

An imputation-based matrix factorization method for improving accuracy of collaborative filtering systems

(2015) Manizheh Ranjbar et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

(2015) Alex Goldstein et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method

(2015) Piero Baraldi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients

(2015) Piero Baraldi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Distance-based analysis of dynamical systems reconstructed from vibrations for bearing diagnostics

(2014) Selina S. Y. Ng et al.   NONLINEAR DYNAMICS

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

(2014) M. Marseguerra   RELIABILITY ENGINEERING & SYSTEM SAFETY

Concerns, Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment

(2014) Roger Flage et al.   RISK ANALYSIS

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods

(2013) Francesco Di Maio et al.   IEEE TRANSACTIONS ON RELIABILITY

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan 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

Multi-class AdaBoost

(2013) Trevor Hastie et al.   Statistics and Its Interface

Missing Data

(2012) Iris Eekhout et al.   EPIDEMIOLOGY

Early Classification of Bearing Faults Using Morphological Operators and Fuzzy Inference

(2012) A. Santhana Raj et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis of ball bearings using continuous wavelet transform

(2010) P.K. Kankar et al.   APPLIED SOFT COMPUTING

The search for stable prognostic models in multiple imputed data sets

(2010) David Vergouw et al.   BMC Medical Research Methodology

Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study

(2010) Andrea Marshall et al.   BMC Medical Research Methodology

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

The security of machine learning

(2010) Marco Barreno et al.   MACHINE LEARNING

Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions

(2010) Piero Baraldi et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Some considerations on the treatment of uncertainties in risk assessment for practical decision making

(2010) Terje Aven et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Q-statistic and T2-statistic PCA-based measures for damage assessment in structures

(2010) LE Mujica et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Observer and Data-Driven-Model-Based Fault Detection in Power Plant Coal Mills

(2008) P.F. Odgaard et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION