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

Anomaly detection and critical attributes identification for products with multiple operating conditions based on isolation forest

(2020) Hansi Chen et al.   ADVANCED ENGINEERING INFORMATICS

A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions

(2020) Zheng Wang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Performance degradation assessment of rolling bearing based on convolutional neural network and deep long-short term memory network

(2019) Zheng Wang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

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

(2019) Junsheng Chen et al.   RENEWABLE ENERGY

Laplace ℓ 1 Huber based cubature Kalman filter for attitude estimation of small satellite

(2018) Lu Cao et al.   ACTA ASTRONAUTICA

Reconfigurable Tolerant Control of Uncertain Mechanical Systems With Actuator Faults: A Sliding Mode Observer-Based Approach

(2018) Bing Xiao et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

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

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

Real-time power switch fault diagnosis and fault-tolerant operation in a DFIG-based wind energy system

(2018) Mahmoud Shahbazi et al.   RENEWABLE ENERGY

Control chart monitoring of wind turbine generators using the statistical inertia of a wind farm average

(2018) P. Cambron et al.   RENEWABLE ENERGY

Wind turbine health state monitoring based on a Bayesian data-driven approach

(2018) Zhe Song et al.   RENEWABLE ENERGY

Performance optimization of a wind turbine column for different incoming wind turbulence

(2018) V. Santhanagopalan et al.   RENEWABLE ENERGY

Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation

(2018) Jianglin Lan et al.   RENEWABLE ENERGY

Anomaly detection and fault analysis of wind turbine components based on deep learning network

(2018) Hongshan Zhao et al.   RENEWABLE ENERGY

Fault diagnosis of wind turbine based on Long Short-term memory networks

(2018) Jinhao Lei et al.   RENEWABLE ENERGY

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Fault diagnosis of wind turbine bearing based on variational mode decomposition and Teager energy operator

(2017) Hongshan Zhao et al.   IET Renewable Power Generation

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao et al.   SENSORS

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis

(2017) Shaobo Li et al.   SENSORS

Management of a holistic supply chain network for proactive resilience: Theory and case study

(2017) Junwei Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A generalized model for wind turbine anomaly identification based on SCADA data

(2016) Peng Sun et al.   APPLIED ENERGY

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

(2016) Robin A.A. Ince et al.   HUMAN BRAIN MAPPING

Reviewing resource criticality assessment from a dynamic and technology specific perspective – using the case of direct-drive wind turbines

(2016) Komal Habib et al.   JOURNAL OF CLEANER PRODUCTION

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions

(2016) Zhipeng Feng et al.   RENEWABLE ENERGY

Joint mutual information-based input variable selection for multivariate time series modeling

(2015) Min Han et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

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

An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings

(2015) Pramod Bangalore et al.   IEEE Transactions on Smart Grid

Energy, emissions and environmental impact analysis of wind turbine using life cycle assessment technique

(2014) Md. Shazib Uddin et al.   JOURNAL OF CLEANER PRODUCTION

Support vector regression for anomaly detection from measurement histories

(2013) Rolands Kromanis et al.   ADVANCED ENGINEERING INFORMATICS

Fault Detection of Wind Turbines with Uncertain Parameters: A Set-Membership Approach

(2012) Seyed Mojtaba Tabatabaeipour et al.   Energies

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine

(2012) Van Tung Tran et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Toward a resilient manufacturing system

(2011) W.J. Zhang et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

On the principle of design of resilient systems – application to enterprise information systems

(2010) W. J. Zhang et al.   Enterprise Information Systems

A divide and conquer approach to anomaly detection, localization and diagnosis

(2009) Jianbo Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING