Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges

Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method

(2020) Xianghui Qiu et al.   JOURNAL OF POWER SOURCES

Predictive Maintenance Architecture Development for Nuclear Infrastructure using Machine Learning

(2020) Hardik A. Gohel et al.   Nuclear Engineering and Technology

Predictive Maintenance of Boiler Feed Water Pumps Using SCADA Data

(2020) Marek Moleda et al.   SENSORS

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management

(2020) Divish Rengasamy et al.   SENSORS

Comparative studies among machine learning models for performance estimation and health monitoring of thermal power plants

(2020) Prabhas Hundi et al.   APPLIED ENERGY

A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators

(2020) Hoang-Phuong Nguyen et al.   APPLIED SOFT COMPUTING

Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset

(2020) Yong Yu et al.   NEUROCOMPUTING

Comparison of Computational Prognostic Methods for Complex Systems Under Dynamic Regimes: A Review of Perspectives

(2019) Oguz Bektas et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Aircraft Air Conditioning System health state estimation and prediction for predictive maintenance

(2019) Jianzhong Sun et al.   Chinese Journal of Aeronautics

Bearing performance degradation assessment using long short-term memory recurrent network

(2019) Bin Zhang et al.   COMPUTERS IN INDUSTRY

A Hybrid Multi-Objective Optimization Model for Vibration Tendency Prediction of Hydropower Generators

(2019) Kai-Bo Zhou et al.   SENSORS

Predictive maintenance using tree-based classification techniques: A case of railway switches

(2019) Zaharah Allah Bukhsh et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A multi-sensor approach to remaining useful life estimation for a slurry pump

(2019) Yiu L. Tse et al.   MEASUREMENT

Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion

(2019) Yubin Pan et al.   MECHANISM AND MACHINE THEORY

ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis

(2019) Xin Wang et al.   NEUROCOMPUTING

Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model

(2019) Mingming Yan et al.   ISA TRANSACTIONS

Adaptive prognosis of centrifugal pump under variable operating conditions

(2019) Jinjiang Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

A systematic literature review of machine learning methods applied to predictive maintenance

(2019) Thyago P. Carvalho et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Machine learning based concept drift detection for predictive maintenance

(2019) Jan Zenisek et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Prediction of Motor Failure Time Using An Artificial Neural Network

(2019) Gustavo Scalabrini Sampaio et al.   SENSORS

Data-driven predictive maintenance scheduling policies for railways

(2019) Pedro Cesar Lopes Gerum et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

New prognosis approach for preventive and predictive maintenance — Application to a distillation column

(2019) Alaa Daher et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

A predictive model for the maintenance of industrial machinery in the context of industry 4.0

(2019) Jose-Raul Ruiz-Sarmiento et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A new online approach for classification of pumps vibration patterns based on intelligent IoT system

(2019) Qinhua Hu et al.   MEASUREMENT

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

(2019) Zhiwei Xue et al.   NEUROCOMPUTING

Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks

(2019) Shuzhi Zhang et al.   Journal of Energy Storage

Diagnosis of operational failures and on-demand failures in nuclear power plants: An approach based on dynamic Bayesian networks

(2019) Yunfei Zhao et al.   ANNALS OF NUCLEAR ENERGY

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

An adaptive-order particle filter for remaining useful life prediction of aviation piston pumps

(2018) Tongyang LI et al.   Chinese Journal of Aeronautics

The impact of digitalization on the future of control and operations

(2018) Alf J. Isaksson et al.   COMPUTERS & CHEMICAL ENGINEERING

Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0

(2018) Michael Schluse et al.   IEEE Transactions on Industrial Informatics

Online remaining useful lifetime prediction of proton exchange membrane fuel cells using a novel robust methodology

(2018) Daming Zhou et al.   JOURNAL OF POWER SOURCES

Prediction of flow blockages and impending cavitation in centrifugal pumps using Support Vector Machine (SVM) algorithms based on vibration measurements

(2018) Asish Kumar Panda et al.   MEASUREMENT

Application of particle filtering for prognostics with measurement uncertainty in nuclear power plants

(2018) Gibeom Kim et al.   Nuclear Engineering and Technology

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

A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing

(2018) Lingli Cui et al.   MEASUREMENT

PMLB: a large benchmark suite for machine learning evaluation and comparison

(2017) Randal S. Olson et al.   BioData Mining

A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction

(2016) Linxia Liao et al.   APPLIED SOFT COMPUTING

Remaining useful life prediction based on noisy condition monitoring signals using constrained Kalman filter

(2016) Junbo Son et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Large combined heat and power plants in sustainable energy systems

(2015) Rasmus Lund et al.   APPLIED ENERGY

LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines

(2015) Rocco Langone et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A novel method using adaptive hidden semi-Markov model for multi-sensor monitoring equipment health prognosis

(2015) Qinming Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

(2015) Jaouher Ben Ali et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering

(2015) Kamran Javed et al.   IEEE Transactions on Cybernetics

Regression to fuzziness method for estimation of remaining useful life in power plant components

(2014) Miltiadis Alamaniotis et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis

(2014) Ruben Ruiz-Gonzalez et al.   SENSORS

Bearing degradation process prediction based on the PCA and optimized LS-SVM model

(2013) Shaojiang Dong et al.   MEASUREMENT

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An Empirical Comparison of Machine Learning Models for Time Series Forecasting

(2010) Nesreen K. Ahmed et al.   Econometric Reviews

A predictive maintenance policy with imperfect monitoring

(2010) Giuseppe Curcurù et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Comparison of prognostic algorithms for estimating remaining useful life of batteries

(2009) Bhaskar Saha et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL