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Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis [article]

Zixuan Wang, Bo Qin, Mengxuan Li, Chenlu Zhan, Mark D. Butala, Peng Peng, Hongwei Wang
2023 arXiv   pre-print

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2023 pre-print arXiv:2306.14701v1 fatcat:aaqjmgtsrzh7vmnlghnd2rv4na
This paper proposes a novel method based on hard sample mining-enabled supervised contrastive learning (HSMSCL) to address this problem.  ...  The proposed approach exhibits significant improvements in fault diagnosis performance, providing promising prospects for enhancing the reliability and efficiency of wind turbine pitch system fault diagnosis  ...  (a) WT 23 (b) WT 29 Algorithm 1 : 21 For epoch = 1 to n: 22 For 12122 Hard sample mining enabled contrastive feature learning for wind turbine pitch system fault diagnosis Input: labeled train set (x  ... 
arXiv:2306.14701v2 fatcat:sjudl4sqlvb6lj6ztz6w3ge64a
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Citation

Zixuan Wang, Bo Qin, Mengxuan Li, Chenlu Zhan, Mark D. Butala, Peng Peng, Hongwei Wang. "Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis." arXiv (2023)

Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis

Wan Zhang, Min-Ping Jia, Lin Zhu, Xiao-An Yan
2017 Chinese Journal of Mechanical Engineering  

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The recent research and development of computational intelligence techniques in fault diagnosis, prediction and optimal sensor placement are reviewed.  ...  However, only few comprehensive reviews have summarized the ongoing efforts of computational intelligence in machinery condition monitoring and fault diagnosis.  ...  used to predict wind turbine pitch faults.  ... 
doi:10.1007/s10033-017-0150-0 fatcat:7e7qq3xewzhqtdvb2np6q3ftv4
DOAJ
Citation

Wan Zhang, Min-Ping Jia, Lin Zhu, Xiao-An Yan. "Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis." Chinese Journal of Mechanical Engineering 30.4 (2017) 782-795

A Review and Methodology Development for Remaining Useful Life Prediction of Offshore Fixed and Floating Wind turbine Power Converter with Digital Twin Technology Perspective

Krishnamoorthi Sivalingam, Marco Sepulveda, Mark Spring, Peter Davies
2018 2018 2nd International Conference on Green Energy and Applications (ICGEA)  

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Therefore, machine learning and data mining methodologies have been used to understand the normal behaviour of the pitch system.  ...  Therefore, machine learning and data mining methodologies are approaches to understand the pitch system normal behaviour and identify SCADA data observations that might represent early stage pitch system  ...  This wind speed distribution is further analysed by month and with wind speed bins of 1 m/s as it is shown in Table 62 . Frequency corresponds to 10 minutes averaged measurements.  ... 
doi:10.1109/icgea.2018.8356292 fatcat:7ievhpobkvaojnul4gb6jfcp3i
Citation

Krishnamoorthi Sivalingam, Marco Sepulveda, Mark Spring, Peter Davies. "A Review and Methodology Development for Remaining Useful Life Prediction of Offshore Fixed and Floating Wind turbine Power Converter with Digital Twin Technology Perspective." 2018 2nd International Conference on Green Energy and Applications (ICGEA) (2018)

An In-Depth Study of Vibration Sensors for Condition Monitoring

Ietezaz Ul Hassan, Krishna Panduru, Joseph Walsh
2024 Sensors  

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Predictive maintenance is a maintenance strategy that predicts possible breakdowns of equipment using data analysis, pattern recognition, and machine learning.  ...  Heavy machinery allows for the efficient, precise, and safe management of large-scale operations that are beyond the abilities of humans.  ...  wind turbine Kamariotis et al. [129] Simulator The model is used as a simulator for creating dynamic response measurement samples from the bridge system Peeters et al. [130] Not Mentioned Periodic impulses  ... 
doi:10.3390/s24030740 pmid:38339457 pmcid:PMC10857366 fatcat:cjxnq6zw4jbc7nrrjarnrl5gpu
DOAJ
Citation

Ietezaz Ul Hassan, Krishna Panduru, Joseph Walsh. "An In-Depth Study of Vibration Sensors for Condition Monitoring." Sensors 24.3 (2024) 740

Artificial Intelligence Control System Applied in Smart Grid Integrated Doubly Fed Induction Generator-Based Wind Turbine: A Review

Ramesh Kumar Behara, Akshay Kumar Saha
2022 Energies  

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There is a prospect of advancing the art of wind turbine-operated doubly-fed induction generator control systems.  ...  The finding of the review in the paper indicates that artificial intelligence-based machine and deep learning predictive diagnosis fields have gained prominence because of their low cost, less infrastructure  ...  turbines, or the pitch angle regulators of all categories of wind turbines, are installed [104] .  ... 
doi:10.3390/en15176488 fatcat:vvzk3yypafgh5n74aznvsfrnpe
DOAJ
Citation

Ramesh Kumar Behara, Akshay Kumar Saha. "Artificial Intelligence Control System Applied in Smart Grid Integrated Doubly Fed Induction Generator-Based Wind Turbine: A Review." Energies 15.17 (2022) 6488

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  

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Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862-5874 Heng, Y., see Xue, M., TIM June 2020 3812-3817 Henry, M.P., The Prism: Recursive FIR Signal Processing for  ...  An Unsupervised Multiview Sparse Filtering Approach for Current-Based Wind Turbine Gearbox Fault Diagnosis.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly
Citation

"2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69." IEEE Transactions on Instrumentation and Measurement 69.12 (2020) 9989-10171

Sliding bifurcations in resonant inverters

Enrique Ponce, Luis Benadero, Abdelali El Aroudi, Luis Martinez-Salamero
2017 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD)  

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The main features presented in this paper are as follows: (a) Abstract -In order to provide a testing for Wind Energy Conversion Systems (WECS) control strategies, a Wind Turbine Emulator (WTE) was  ...  wind turbine pitch control of a permanent magnet synchronous generator (PMSG), used to regulate the DC bus voltage controller, output of the converter for a 150V pumping load, Where a fuzzy inference  ... 
doi:10.1109/ssd.2017.8167001 dblp:conf/IEEEssd/PonceBAM17 fatcat:6lbol63imjffhezjv6yc6cnheu
Citation

Enrique Ponce, Luis Benadero, Abdelali El Aroudi, Luis Martinez-Salamero. "Sliding bifurcations in resonant inverters." 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD) (2017) 122-127

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Diego A. Tibaduiza Burgos, Ricardo C. Gomez Vargas, Cesar Pedraza, David Agis, Francesc Pozo
2020 Sensors  

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The literature is systematically reviewed according to the natural steps of a structural health-monitoring system.  ...  This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.  ...  Both univariate [3] and multivariate [176] hypothesis testing have been used for damage detection in small-scale structures as well as for fault detection in wind turbines [177] [178] [179] .  ... 
doi:10.3390/s20030733 pmid:32013073 pmcid:PMC7038520 fatcat:67w3qveqsvh4njfac4iw7fjjca
DOAJ
Citation

Diego A. Tibaduiza Burgos, Ricardo C. Gomez Vargas, Cesar Pedraza, David Agis, Francesc Pozo. "Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications." Sensors 20.3 (2020) 733

2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67

2020 IEEE transactions on industrial electronics (1982. Print)  

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Control for a Proof-of-Concept Greenhouse System; TIE April 2020 3033-3042 Jiang, J., see Ma, J., TIE July 2020 5687-5695 Jiang, J., see Wang, J., TIE Aug. 2020 6864-6873 Jiang, J., see Wang, D., TIE  ...  Unscented Kalman Filter; TIE Jan. 2020 442-450 Jiang, K., Yan, F., and Zhang, H., Data-Driven Modeling and UFIR-Based Out-let NO x Estimation for Diesel-Engine SCR Systems; TIE June 2020 5012-5021 Jiang  ...  ., +, TIE Dec. 2020 9991-10000 In-Service Wind Turbine DFIG Diagnosis Using Current Signature Analysis. Lyapunov-Based Thermal Fault Diagnosis of Cylindrical Lithium-Ion Batteries.  ... 
doi:10.1109/tie.2020.3045338 fatcat:gljm7ngg3fakvmnfswcbb5vwiu
Citation

"2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67." IEEE transactions on industrial electronics (1982. Print) 67.12 (2020) 10997-11201

2021 Index IEEE Transactions on Industrial Electronics Vol. 68

2021 IEEE transactions on industrial electronics (1982. Print)  

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The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIE July 2021 6248-6256 Fault-Tolerant Individual Pitch Control for Load Mitigation in Wind Turbines With Actuator Faults.  ...  ., +, TIE Dec. 2021 12921-12929 Data mining A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems.  ... 
doi:10.1109/tie.2021.3130363 fatcat:5ahkwd5l4fgnvcveiyso6oc6vy
Citation

"2021 Index IEEE Transactions on Industrial Electronics Vol. 68." IEEE transactions on industrial electronics (1982. Print) 68.12 (2021) 12953-13185

A hybrid deep learning-improved BAT optimization algorithm for soil classification using remote sensing hyperspectral features

Ujjal Roy
2021 figshare.com  

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BAT optimization algorithm for soil classification using remote sensing hyperspectral features  ...  A hybrid deep learning-improved BAT optimization algorithm for soil classification using remote sensing hyperspectral featuresA hybrid deep learning-improved BAT optimization algorithm for soil classification  ...  Acknowledgements The research work titled as "Distribution System State Estimation Considering Renewable Energy Sources with Optimized PMU Placements" by A. Thamaraiselvi  ... 
doi:10.6084/m9.figshare.16943230.v1 fatcat:mxxls6u2ufgxrieromvsxwgxni
Open Access
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Ujjal Roy. "A hybrid deep learning-improved BAT optimization algorithm for soil classification using remote sensing hyperspectral features." figshare.com (2021)

Recent Advancements in AI-Enabled Smart Electronics Packaging for Structural Health Monitoring

Vinamra Bhushan Sharma, Saurabh Tewari, Susham Biswas, Bharat Lohani, Umakant Dhar Dwivedi, Deepak Dwivedi, Ashutosh Sharma, Jae Pil Jung
2021 Metals  

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With the advancement of technology, more complex AI models have been applied, from simple models to sophisticated deep learning (DL) models, for structural health monitoring (SHM).  ...  Furthermore, current challenges and future perspectives of AI-based SHM systems are also described separately.  ...  fault diagnosis.  ... 
doi:10.3390/met11101537 fatcat:wayx7vsxxrekrgpjrzrmxpqswm
DOAJ
Citation

Vinamra Bhushan Sharma, Saurabh Tewari, Susham Biswas, Bharat Lohani, Umakant Dhar Dwivedi, Deepak Dwivedi, Ashutosh Sharma, Jae Pil Jung. "Recent Advancements in AI-Enabled Smart Electronics Packaging for Structural Health Monitoring." Metals 11.10 (2021) 1537

Engineering, Technology & Applied Science Research (ETASR), Vol. 11, No. 3, pp. 7069-7290

Various
2021 Zenodo  

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The table of contents for this issue can be found at: https://etasr.com/index.php/ETASR/issue/view/69. For more info visit the journal's site at: www.etasr.com.  ...  Engineering, Technology & Applied Science Research (ETASR) is an international bimonthly wide scope, peer-reviewed open access journal for the publication of original articles concerned with diverse aspects  ...  ACKNOWLEDGMENT The authors wish to express their gratitude to the Higher Education Commission of Pakistan for the funding under the NRPU "National Research Program for Universities 2017-18" grand.  ... 
doi:10.5281/zenodo.5136285 fatcat:2beknqdb3bcq7fqfav6btil6ci
Open Access
Citation

Various. "Engineering, Technology & Applied Science Research (ETASR), Vol. 11, No. 3, pp. 7069-7290." Zenodo (2021)

Advanced Development of Sensors' Roles in Maritime-Based Industry and Research: From Field Monitoring to High-Risk Phenomenon Measurement

Aditya Rio Prabowo, Tuswan Tuswan, Ridwan Ridwan
2021 Applied Sciences  

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The use of sensors in marine applications also appears in research and studies, in which the sensor is used for both monitoring the phenomena of a designated subject and data acquisition.  ...  Achievements in quantifying complex phenomena in critical maritime designs are fascinating subjects to discuss regarding their development and current states, which may be reliable references for further  ...  In a recent development, machine learning (ML) application for vibration-based damage detection in a wind turbine has been highlighted. Vidal et al.  ... 
doi:10.3390/app11093954 doaj:9b5a3c4f7b354567b2208c153b449033 fatcat:wxdo3vrup5avde475ehijxk3zm
DOAJ
Citation

Aditya Rio Prabowo, Tuswan Tuswan, Ridwan Ridwan. "Advanced Development of Sensors' Roles in Maritime-Based Industry and Research: From Field Monitoring to High-Risk Phenomenon Measurement." Applied Sciences 11.3954 (2021) 3954

Conference Digest

2020 2020 IEEE Aerospace Conference  

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a collection of environmental sensors carried by the Interior exploration using Seismic Investigations, Geodesy, and Heat Transport (InSight) lander, is capable of measuring Martian air temperature, wind  ...  This paper discusses the specific features of the observatory that permit high contrast coronagraphy at the 10^-10 contrast level and the design considerations for the coronagraph itself.  ...  To account for a wide range or potential surface strengths, the sampling system was developed to enable sampling from surface material between 400 kPa to 12 MPa strength and 40-95% porosity.  ... 
doi:10.1109/aero47225.2020.9172613 fatcat:ioqf5ijrx5gvffu3ls34aa2nsq
Citation

"Conference Digest." 2020 IEEE Aerospace Conference (2020)

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