Alarms management by supervisory control and data acquisition system for wind turbines
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Alarms management by supervisory control and data acquisition system for wind turbines
Authors
Keywords
-
Journal
Eksploatacja i Niezawodnosc-Maintenance and Reliability
Volume 23, Issue 1, Pages 110-116
Publisher
Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
Online
2021-01-04
DOI
10.17531/ein.2021.1.12
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Residual strength assessment of wind turbine rotor blade composites under combined effects of natural aging and fatigue loads
- (2020) Jian-Xiong Gao et al. Eksploatacja i Niezawodnosc-Maintenance and Reliability
- Gearbox faults feature selection and severity classification using machine learning
- (2020) Ninoslav Zuber et al. Eksploatacja i Niezawodnosc-Maintenance and Reliability
- Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample
- (2020) Syahril Ramadhan Saufi et al. IEEE Transactions on Industrial Informatics
- Optimizing Maintenance Policies for a Yaw System Using Reliability-Centered Maintenance and Data-Driven Condition Monitoring
- (2020) Marcantonio Catelani et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- False Alarms Analysis of Wind Turbine Bearing System
- (2020) Ana María Peco Chacón et al. Sustainability
- Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches
- (2019) Rahat Iqbal et al. IEEE Transactions on Industrial Informatics
- A survey of artificial neural network in wind energy systems
- (2018) Alberto Pliego Marugán et al. APPLIED ENERGY
- Electric Power Network State Tracking From Multirate Measurements
- (2018) Boris A. Alcaide-Moreno et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A New Hybrid State Estimation Considering Different Accuracy Levels of PMU and SCADA Measurements
- (2018) Mehdi Kabiri et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines
- (2017) Fausto García Márquez et al. Energies
- Optimal decision-making via binary decision diagrams for investments under a risky environment
- (2017) Alberto Pliego Marugán et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- 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 New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines
- (2016) Carlos Gómez Muñoz et al. Energies
- FDI based on Artificial Neural Network for Low-Voltage-Ride-Through in DFIG-based Wind Turbine
- (2016) Amel Adouni et al. ISA TRANSACTIONS
- Reliability Analysis Method of safety-critical avionics system based on Dynamic Fault Tree under Fuzzy Uncertainty
- (2015) Jiliang Tu et al. Eksploatacja i Niezawodnosc-Maintenance and Reliability
- Wind turbine reliability analysis
- (2013) Jesús María Pinar Pérez et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection
- (2010) Meik Schlechtingen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Bayesian adaptive combination of short-term wind speed forecasts from neural network models
- (2010) Gong Li et al. RENEWABLE ENERGY
- Principal component analysis applied to filtered signals for maintenance management
- (2009) Fausto Pedro García Márquez et al. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started