☆ 4.5 Article

Comprehensive aging assessment of pitch systems combining SCADA and failure data

IET RENEWABLE POWER GENERATION (2022)

Journal

IET RENEWABLE POWER GENERATION

Volume 16, Issue 1, Pages 198-210

Publisher

INST ENGINEERING TECHNOLOGY-IET

DOI: 10.1049/rpg2.12281

Keywords

-

Categories

Green & Sustainable Science & Technology Energy & Fuels Engineering, Electrical & Electronic

Funding

National Natural Science Foundation ofChina [61573046]
Program for Changjiang Scholars and Innovative Research Team in University [IRT1203]

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Automated Summary New
Abstract

An aging assessment method for wind-turbine electric-pitch systems was proposed, with four aging indicators introduced based on SCADA and failure data, and an information-fusion method developed for a reliable comprehensive assessment. The method's reliability and robustness were verified using SCADA and failure data from a wind farm over three years.

Due to the recent rapid development of the wind energy industry, many wind turbines that have been operational over long periods will face degradation caused by aging effects; hence, an appropriate aging assessment method for wind turbines and their components is essential for optimizing the asset management and maintenance strategy of a wind farm. An aging assessment method is proposed for wind-turbine electric-pitch systems by introducing four individual aging indicators based on the examination of supervisory control and data acquisition (SCADA) and failure data, i.e. function, energy-consumption, temperature, and reliability indicators. To obtain a reliable comprehensive assessment, an information-fusion method has been developed based on a given reference value; the weighting factors in the information fusion were calculated based on the reference value, while reliability and robustness were verified using the SCADA and failure data from a wind farm over three years.

Authors

I am an author on this paper

Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5

Not enough ratings

Secondary Ratings

Novelty

-

Significance

-

Scientific rigor

-

Rate this paper

Recommended

Article Green & Sustainable Science & Technology

SCADA data analysis for long-term wind turbine performance assessment: A case study

Davide Astolfi, Ravi Pandit, Ludovica Celesti, Andrea Lombardi, Ludovico Terzi

Summary: The analysis of wind turbine performance is crucial for future operation, and it is necessary to determine the machine's operation based on historical data and control optimization.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2022)

Add to Collection

Article Green & Sustainable Science & Technology

Data annotation and feature extraction in fault detection in a wind turbine hydraulic pitch system

Panagiotis Korkos, Matti Linjama, Jaakko Kleemola, Arto Lehtovaara

Summary: The performance of wind turbines can be improved by processing SCADA data, which also enhances decisions about maintenance schedules. The pitch system plays a critical role in analyzing relevant data for improving wind turbine operation. This study demonstrates the potential of the adaptive neuro fuzzy inference system technique for detecting pitch faults by gathering significant pitch faults and implementing the ANFIS technique. The proposed approach includes detailed preprocessing of SCADA data and emphasizes the labeling process.

RENEWABLE ENERGY (2022)

Add to Collection

Article Energy & Fuels

Combining SCADA and vibration data into a single anomaly detection model to predict wind turbine component failure

Alan Turnbull, James Carroll, Alasdair McDonald

Summary: Reducing downtime and costs associated with wind farm operation and maintenance can be achieved through predictive or condition-based maintenance strategies. By combining multiple data sources, operators can diagnose faults more accurately, monitor turbine conditions effectively, and ultimately increase profitability and availability.

WIND ENERGY (2021)

Add to Collection

Article Energy & Fuels

Reliability of electrical and hydraulic pitch systems in wind turbines based on field-data analysis

Julia Walgern, Katharina Fischer, Paul Hentschel, Athanasios Kolios

Summary: The pitch system is a critical subsystem of wind turbines, playing a key role in maximizing wind capture while protecting the turbine from excessive loads. This study analyzes the failure rates of electrical and hydraulic pitch systems based on a large population of onshore assets. The results show high failure rates for both types of pitch systems, with hydraulic systems performing slightly better. Additionally, the study identifies variations in failure rates among different turbine manufacturers and a tendency for higher failure rates in larger turbines.

ENERGY REPORTS (2023)

Add to Collection

Article Energy & Fuels

Research on force model and characteristics of large wind turbine pitch system based on SCADA data

Mimi Li, Juchuan Dai, Fan Zhang, Deshun Liu

Summary: This paper proposes a novel method to estimate the load on blade pitch, the friction torque on bearings, and the torque on motor pitch in large-scale wind turbines. By investigating the force of the pitch system under multiple operating conditions, equilibrium equations are established and combined with the obtained data to establish an estimating model for the pitch system forces. The variation characteristics of the blade pitch load, bearing friction torque, and motor pitch torque are analyzed under multiple operating conditions, leading to interesting and valuable conclusions.

FRONTIERS IN ENERGY RESEARCH (2023)

Add to Collection

Article Chemistry, Analytical

Data-Driven Assessment of Wind Turbine Performance Decline with Age and Interpretation Based on Comparative Test Case Analysis

Davide Astolfi, Ravi Pandit, Ludovica Celesti, Matteo Vedovelli, Andrea Lombardi, Ludovico Terzi

Summary: This study evaluates and explains the decline in wind turbine performance with age through case studies of two wind farms. The performance of Senvion MM92 turbines shows no significant trend, while Vestas V52 turbines experience a significant drop followed by stable under-performance. The results suggest that the under-performance of the Vestas V52 turbines can be attributed to the behavior of the hydraulic blade pitch, while gearbox aging has a negligible contribution to the performance decline.

SENSORS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Assessment of the robustness of cyber-physical systems using small-worldness of weighted complex networks

Wentao Zhu, Jovica Milanovic

Summary: This paper extends the definition of Small-worldness to weighted complex networks and assesses it to determine the robustness of Cyber-physical Critical Infrastructure Systems (CPCIS) and identify system critical components. By incorporating uncertain parameters and assessing small-world property indices in dynamic forms, real-time uncertain criticalities are represented and evaluated. The most critical physical and cyber system components are identified, and their dependencies on each other are determined.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

Add to Collection

Article Energy & Fuels

Discussion of Wind Turbine Performance Based on SCADA Data and Multiple Test Case Analysis

Davide Astolfi, Ravi Pandit, Ludovico Terzi, Andrea Lombardi

Summary: This work focuses on analyzing and interpreting the performance of wind turbines with hydraulic pitch control and electric pitch control. It identifies noticeable under-performance in the hydraulic pitch wind turbines, which may be caused by decreased pitch pressure and rotor unbalance. In contrast, the performance of wind turbines with electric pitch control is homogeneous and stable. The study highlights the importance of monitoring the hydraulic pitch component in wind turbines due to its potential decline in performance over time.

ENERGIES (2022)

Add to Collection

Article Computer Science, Information Systems

A Secure Revocable Fine-Grained Access Control and Data Sharing Scheme for SCADA in IIoT Systems

Weiting Zhang, Hanyi Zhang, Liming Fang, Zhe Liu, Chunpeng Ge

Summary: This article proposes a secure and revocable fine-grained access control and data sharing scheme for SCADA systems in industrial control and the IoT. The scheme enhances data security through fine-grained access control and digital signature technology.

IEEE INTERNET OF THINGS JOURNAL (2022)

Add to Collection

Article Green & Sustainable Science & Technology

A Risk Assessment Model for Cyber-Physical Water and Wastewater Systems: Towards Sustainable Development

Mohamed Abdel-Basset, Abduallah Gamal, Nour Moustafa, S. S. Askar, Mohamed Abouhawwash

Summary: This paper develops a novel risk assessment framework RAF-CPWS, which uses a multi-criteria group decision-making approach based on neutrosophic theory to assess the risks of wastewater treatment technologies. The proposed approach considers various factors and provides a comprehensive measure of the risks in cyber-physical water and wastewater systems.

SUSTAINABILITY (2022)

Add to Collection

Review Psychology, Multidisciplinary

A Comprehensive Approach to Assessment of Testamentary Capacity

Amanda Kenepp, Ellen Johnson, Grace J. Lee, Preeti Sunderaraman, Natalie L. Denburg, Christopher M. Nguyen

Summary: The growing aging population highlights the necessity of assessing testamentary capacity (TC), but current assessment methods lack comprehensiveness and standardization. A comprehensive approach to TC assessment is proposed to address this gap.

FRONTIERS IN PSYCHOLOGY (2021)

Add to Collection

Article Energy & Fuels

Investigation of Isolation Forest for Wind Turbine Pitch System Condition Monitoring Using SCADA Data

Conor McKinnon, James Carroll, Alasdair McDonald, Sofia Koukoura, Charlie Plumley

Summary: The study utilizes the Isolation Forest Machine Learning model along with SCADA system data to monitor the condition of wind turbine pitch systems, enabling early prediction of potential faults and improving the scheduling of planned maintenance for pitch systems.

ENERGIES (2021)

Add to Collection

Article Computer Science, Information Systems

The Coherent Data Set: Combining Patient Data and Imaging in a Comprehensive, Synthetic Health Record

Jason Walonoski, Dylan Hall, Karen M. Bates, M. Heath Farris, Joseph Dagher, Matthew E. Downs, Ryan T. Sivek, Ben Wellner, Andrew Gregorowicz, Marc Hadley, Francis X. Campion, Lauren Levine, Kevin Wacome, Geoff Emmer, Aaron Kemmer, Maha Malik, Jonah Hughes, Eldesia Granger, Sybil Russell

Summary: The Coherent Data Set is a novel synthetic data set that utilizes structured data from Synthea (TM) to create a coherent patient-level electronic health record. It provides complex and representative health records for health IT professionals without the privacy risks associated with using real patient data.

ELECTRONICS (2022)

Add to Collection

Article Engineering, Environmental

Aging and reactivity assessment of nanoscale zerovalent iron in groundwater systems

Junmin Deng, Tao Chen, Yara Arbid, Mathieu Pasturel, Sungjun Bae, Khalil Hanna

Summary: This study investigated the reactivity changes of nanoscale zerovalent iron (NZVI) in different groundwater systems under anoxic and oxic conditions over a wide range of aging time. NZVI exhibited a decline in reductive activity in pure water systems, but an enhancement followed by a decline after short-term aging in groundwater. The formation of secondary Fe(II)-bearing phases was identified as the reason for this behavior. The adsorption experiments revealed that GW-anoxic-aged NZVI samples exhibited a strong affinity for nalidixic acid (NA) and a greater adsorption capacity than pristine NZVI. Surface complexation modeling attributed the enhanced adsorption to Fe(II)-NA surface complexation. The significant changes in NZVI reactivity and adsorption capacity due to groundwater corrosion highlight the importance of assessing long-term remediation projects involving NZVI injection.

WATER RESEARCH (2023)

Add to Collection

Article Chemistry, Analytical

Design of a Tension Infiltrometer with Automated Data Collection Using a Supervisory Control and Data Acquisition System

David Alberto Morales-Ortega, Victor Hugo Cambron-Sandoval, Israel Ruiz-Gonzalez, Hugo Luna-Soria, Juan Alfredo Hernandez-Guerrero, Genaro Garcia-Guzman

Summary: This study highlights the importance of water infiltration in hydrological basin management and introduces a portable and user-friendly tension infiltrometer. The infiltrometer provides accurate soil property data and simplifies the data collection process, making it more accessible.

SENSORS (2023)

Add to Collection

Article Green & Sustainable Science & Technology

Wind Turbine Pitch System Condition Monitoring and Fault Detection Based on Optimized Relevance Vector Machine Regression

Lu Wei, Zheng Qian, Hamidreza Zareipour

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)

Add to Collection

Article Green & Sustainable Science & Technology

An ultra-high voltage gain interleaved converter based on three-winding coupled inductor with reduced input current ripple for renewable energy applications

Seyed Majid Hashemzadeh, Mohammed A. Al-Hitmi, Hadi Aghaei, Vafa Marzang, Atif Iqbal, Ebrahim Babaei, Seyed Hossein Hosseini, Shirazul Islam

Summary: This article proposes an interleaved high step-up DC-DC converter topology with an ultra-high voltage conversion ratio for renewable energy applications. The converter utilizes an interleaved structure to reduce the input source current ripple, which is advantageous for solar PV sources. By employing voltage multiplier cells and coupled inductor techniques, the topology enhances the output voltage. The article provides comprehensive operation modes and steady-state analyses, compares the proposed structure with other similar converter topologies, and validates the mathematical analysis with experimental results.

IET RENEWABLE POWER GENERATION (2024)

Add to Collection

Article Green & Sustainable Science & Technology

Resilience enhancement of distribution networks based on demand response under extreme scenarios

Gang Xu, Zixuan Guo

Summary: This paper proposes a two-stage resilience enhancement strategy for the recovery of critical loads after disasters. The first stage utilizes a heuristic algorithm to determine the post-disaster topology, while the second stage incorporates user demand response to maximize the socio-economic value of the recovery.

IET RENEWABLE POWER GENERATION (2024)

Add to Collection

Article Green & Sustainable Science & Technology

Comparative analysis of different methods in estimating wind speed distribution, and evaluation of large-scale wind turbine performance in Rahva-Bitlis, Turkey

Faruk Oral

Summary: This study investigates the wind characteristics and electricity generation potential from wind energy in the Bitlis-Rahva region in eastern Turkey. Wind data from the Bitlis meteorological station is analyzed using the WindPRO program to determine the wind speed distribution and predict turbine performance. The results show that the region has low wind energy capacity factor, indicating it is not efficient for wind energy investments. However, it is suggested that higher altitudes in the region may have better wind energy utilization.

IET RENEWABLE POWER GENERATION (2024)

Add to Collection

Article Green & Sustainable Science & Technology

Design and control of modular multilevel matrix converter with symmetrically integrated energy storage for low frequency AC system

Yingjie Tang, Zheren Zhang, Zheng Xu

Summary: This paper investigates the modular multilevel matrix converter with symmetrically integrated energy storage for low frequency AC system. An evaluation method for the minimum required number of active submodules is presented, and the influences of operating conditions on the minimum required number of active submodules are studied. Issues about the converter control system are also discussed in this paper.

IET RENEWABLE POWER GENERATION (2024)

Add to Collection

© Peeref 2019-2024. All rights reserved.