Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines

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(2022) Yongchao Zhu et al.   RENEWABLE ENERGY

Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost

(2022) Chen Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Transfer learning based on sparse Gaussian process for regression

(2022) Kai Yang et al.   INFORMATION SCIENCES

Health indicator for machine condition monitoring built in the latent space of a deep autoencoder

(2022) Ana González-Muñiz et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation

(2022) Dongzhen Lyu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection

(2021) Song Fu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Fatigue life prediction of a supercritical steam turbine rotor based on neural networks

(2021) Xiang Zhao et al.   ENGINEERING FAILURE ANALYSIS

A fault detector/classifier for closed-ring power generators using machine learning

(2021) Igor M. Quintanilha et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network

(2021) Hansi Chen et al.   RENEWABLE ENERGY

A Condition Monitoring and Fault Isolation System for Wind Turbine Based on SCADA Data

(2021) Xingchen Liu et al.   IEEE Transactions on Industrial Informatics

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

(2021) Enrico Zio   RELIABILITY ENGINEERING & SYSTEM SAFETY

Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis

(2021) Dongzhen Lyu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A general anomaly detection framework for fleet-based condition monitoring of machines

(2020) Kilian Hendrickx et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities

(2020) Elena Quatrini et al.   JOURNAL OF MANUFACTURING SYSTEMS

System-wide anomaly detection in wind turbines using deep autoencoders

(2020) Niklas Renström et al.   RENEWABLE ENERGY

Gearbox oil temperature anomaly detection for wind turbine based on sparse Bayesian probability estimation

(2020) X.J. Zeng et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

Condition Monitoring of Wind Turbine Generators Using SCADA Data Analysis

(2020) Xiaohang Jin et al.   IEEE Transactions on Sustainable Energy

Assessment of steam turbine blade failure and damage mechanisms using a Bayesian network

(2020) David A. Quintanar-Gago 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

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

(2019) Cheng-Geng Huang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Anomaly detection for wind turbines based on the reconstruction of condition parameters using stacked denoising autoencoders

(2019) Junsheng Chen et al.   RENEWABLE ENERGY

A Composite Anomaly Detection System for Data-Driven Power Plant Condition Monitoring

(2019) Yuchen Zhang et al.   IEEE Transactions on Industrial Informatics

Wind Turbine Condition Monitoring Based on Assembled Multidimensional Membership Functions Using Fuzzy Inference System

(2019) Fuming Qu et al.   IEEE Transactions on Industrial Informatics

SCADA-based wind turbine anomaly detection using Gaussian process models for wind turbine condition monitoring purposes

(2018) Ravi Kumar Pandit et al.   IET Renewable Power Generation

Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data

(2018) Phong B. Dao et al.   RENEWABLE ENERGY

An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring

(2018) Wenguang Yang et al.   RENEWABLE ENERGY

Wind Turbine Gearbox Failure Identification With Deep Neural Networks

(2017) Long Wang et al.   IEEE Transactions on Industrial Informatics

Condition monitoring of a steam turbine generator using wavelet spectrum based control chart

(2017) Suk Joo Bae et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

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

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part II: Signals and Signal Processing Methods

(2015) Wei Qiao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Quality-related prediction and monitoring of multi-mode processes using multiple PLS with application to an industrial hot strip mill

(2015) Kaixiang Peng et al.   NEUROCOMPUTING

An angle-based subspace anomaly detection approach to high-dimensional data: With an application to industrial fault detection

(2015) Liangwei Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Monitoring multi-mode plant-wide processes by using mutual information-based multi-block PCA, joint probability, and Bayesian inference

(2014) Qingchao Jiang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

An Agent-Based Implementation of Hidden Markov Models for Gas Turbine Condition Monitoring

(2013) Andrew D. Kenyon et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING