Open Access
Issue |
Sci. Tech. Energ. Transition
Volume 80, 2025
|
|
---|---|---|
Article Number | 34 | |
Number of page(s) | 20 | |
DOI | https://doi.org/10.2516/stet/2025013 | |
Published online | 21 April 2025 |
- Wong J.Y.R., Tan C.K., Bakar A.H.A., Che H.S. (2022) Selectivity problem in adaptive overcurrent protection for microgrid with inverter-based distributed generators (IBDG): theoretical investigation and HIL verification, IEEE Trans. Power Deliv. 37, 4, 3313–3324. https://doi.org/10.1109/TPWRD.2021.3126897. [CrossRef] [Google Scholar]
- Xia B., Wang Y., Vazquez E., Xu W., Wong D., Tong M. (2015) Estimation of fault resistance using fault record data, IEEE Trans. Power Deliv. 30, 1, 153–160. https://doi.org/10.1109/TPWRD.2014.2355041. [CrossRef] [Google Scholar]
- Tabassum S., Vijay Babu A.R., Dheer D.K. (2023) Hybrid smart microgrid system modelling, design and control using an adaptive neuro fuzzy inference system, in: 2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), Patna, India, 21–22 December, IEEE, pp. 1–6. https://doi.org/10.1109/ICEFEET59656.2023.10452232. [Google Scholar]
- Enríquez A.C., Cardoso Y.G., Martínez J.T. (2021) Microgrid protection, in: Anvari-Moghaddam A., Abdi H., Mohammadi-Ivatloo B., Hatziargyriou N. (eds), Microgrids: power systems, Springer, Cham, pp. 437–487. https://doi.org/10.1007/978-3-030-59750-4_17. [CrossRef] [Google Scholar]
- Tabassum S., Vijay Babu A.R., Dheer D.K. (2024) Real-time power quality enhancement in smart grids through IoT and adaptive neuro-fuzzy systems, Sci. Technol. Energy Transit. 79, 89. https://doi.org/10.2516/stet/2024085. [CrossRef] [Google Scholar]
- Tabassum S., Vijay Babu A.R., Dheer D.K., Pasha M.M. (2022) Inspection and surveillance of energy consumption in IoT-smart grid using wireless sensor network, in: 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON 2022), Durgapur, India, 17–19 December, IEEE, pp. 308–312. https://doi.org/10.1109/CATCON56237.2022.10077673. [Google Scholar]
- Kanwal S., Jiriwibhakorn S. (2024) Advanced fault detection, classification, and localization in transmission lines: a comparative study of ANFIS, neural networks, and hybrid methods, IEEE Access 12, 49017–49033. https://doi.org/10.1109/ACCESS.2024.3384761. [Google Scholar]
- Al Kazzaz S.A.S., Ismael I., Mohammed K.K. (2020) Fault detection and location of power transmission lines using intelligent distance relay, Int. J. Power Electron. Drive Syst. 11, 2, 726–734. https://doi.org/10.11591/ijpeds.v11.i2.pp726-734. [CrossRef] [Google Scholar]
- Yuan C., Lai K., Illindala M.S., Haj-Ahmed M.A., Khalsa A.S. (2017) Multilayered protection strategy for developing community microgrids in village distribution systems, IEEE Trans. Power Deliv. 32, 1, 495–503. https://doi.org/10.1109/TPWRD.2016.2544923. [CrossRef] [Google Scholar]
- Narasipuram R.P., Mopidevi S. (2024) Assessment of E-mode GaN technology, practical power loss, and efficiency modelling of iL2C resonant DC-DC converter for xEV charging applications, J. Energy Storage 91, 112008. https://doi.org/10.1016/j.est.2024.112008. [CrossRef] [Google Scholar]
- Rao T.C.S., Ram S.S.T., Subrahmanyam J.B.V. (2017) An effective technique for fault detection and classification in distribution system with the aid of DWT and ANFIS, Int. J. Autom. Control 11, 4, 411–427. https://doi.org/10.1504/IJAAC.2017.087055. [CrossRef] [Google Scholar]
- Tabassum S., Vijay Babu A.R., Dheer D.K., Rui-Ming F.F., Liao Q.Q. (2024) A comprehensive exploration of IoT-enabled smart grid systems: power quality issues, solutions, and challenges, Sci. Technol. Energy Transit. 79, 62. https://doi.org/10.2516/stet/2024056. [CrossRef] [Google Scholar]
- Elbaset A.A., Hiyama T. (2009) Fault detection and classification in transmission lines using ANFIS, IEEJ Trans. Ind. Appl. 129, 7, 705–713. https://doi.org/10.1541/ieejias.129.705. [CrossRef] [Google Scholar]
- Kumar P., Rao G., Babu A.R.V. (2020) A novel diagnostic technique to detect the failure mode operating states of an air-breathing fuel cell used in fuel cell vehicles, Int. J. Electr. Hybrid Veh. 12, 32–43. https://doi.org/10.1504/IJEHV.2020.10025991. [CrossRef] [Google Scholar]
- Khaleghi A., Oukati Sadegh M., Ghazizadeh-Ahsaee M., Mehdipour Rabori A. (2018) Transient fault area location and fault classification for distribution systems based on wavelet transform and adaptive neuro-fuzzy inference system (ANFIS), Adv. Electr. Electron. Eng. 16, 2, 155–166. https://doi.org/10.15598/aeee.v16i2.2563. [Google Scholar]
- Babu A.R.V., Rajyalakshmi V., Suresh K. (2017) Renewable energy integrated high gain DC-DC converter with multilevel inverter for water pumping applications, J. Adv. Res. Dyn. Control Syst. 1, 172–190. [Google Scholar]
- Babu A.R.V., Rao G., Kumar P., Saranu S., Babu A., Uma Ch., Rao M., Teja A.J.R. (2015) Energy and green house gas payback time analysis of an air breathing fuel cell stack, J. Electr. Eng. 15, 52–61. [Google Scholar]
- Saranya D.N.S., Babu A.R.V., Rao G., Tagore Y.R., Kumar N. (2015) Fuel cell powered bidirectional DC-DC converter with fuzzy logic controller for electric vehicle applications, Int. J. Appl. Eng. Res. 8, 109, 117–120. [Google Scholar]
- Hong Y.Y., Cabatac M.T.A.M. (2020) Fault detection, classification, and location by static switch in microgrids using wavelet transform and taguchi-based artificial neural network, IEEE Syst. J. 14, 2, 2725–2735. https://doi.org/10.1109/JSYST.2019.2925594. [CrossRef] [Google Scholar]
- Adefarati T., Bansal R.C. (2019) Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources, Appl. Energy 236, 1089–1114. https://doi.org/10.1016/j.apenergy.2018.12.050. [CrossRef] [Google Scholar]
- Tightiz L., Nasab M.A., Yang H., Addeh A. (2020) An intelligent system based on optimized ANFIS and association rules for power transformer fault diagnosis, ISA Trans. 103, 63–74. https://doi.org/10.1016/j.isatra.2020.03.022. [CrossRef] [Google Scholar]
- Lin H., Sun K., Tan Z.H., Liu C., Guerrero J.M., Vasquez J.C. (2019) Adaptive protection combined with machine learning for microgrids, IET Gener. Transm. Distrib. 13, 6, 770–779. https://doi.org/10.1049/iet-gtd.2018.6230. [CrossRef] [Google Scholar]
- Meng X., Zhang B., Cao F., Liao Y. (2024) Effectiveness of measures on natural gas pipelines for mitigating the influence of DC ground current, IEEE Trans. Power Deliv. 39, 4, 2414–2423. https://doi.org/10.1109/TPWRD.2024.3406826. [CrossRef] [Google Scholar]
- Liu K., Jiao S., Nie G., Ma H., Bo G., Sun C., Xin D., Saha T., Wu G. (2024) On image transformation for partial discharge source identification in vehicle cable terminals of high‐speed trains, High Voltage 9, 1090–1100. https://doi.org/10.1049/hve2.12487. [CrossRef] [Google Scholar]
- Cheng C., Deng X., Zhao X., Xiong Y., Zhang Y. (2023) Multi-occupant dynamic thermal comfort monitoring robot system, Build. Environ. 234, 110137. https://doi.org/10.1016/j.buildenv.2023.110137. [CrossRef] [Google Scholar]
- Jiang W., Zheng B., Sheng D., Li X. (2024) A compensation approach for magnetic encoder error based on improved deep belief network algorithm, Sensors Actuators A. Phys. 366, 115003. https://doi.org/10.1016/j.sna.2023.115003. [CrossRef] [Google Scholar]
- Lu Y., Wang S., Zhang C., Chen R., Dui H., Mu R. (2024) Adaptive maintenance window-based opportunistic maintenance optimization considering operational reliability and cost, Reliab. Eng. Syst. Saf. 250, 110292. https://doi.org/10.1016/j.ress.2024.110292. [CrossRef] [Google Scholar]
- Field A.D., Attention I.D., Network R. (2024) Intelligent fault diagnosis of rolling bearing based on Gramian angular difference field and improved dual attention, Sensors 24, 7, 2156. https://doi.org/10.3390/s24072156. [CrossRef] [PubMed] [Google Scholar]
- Ju X., Jiang Y., Jing L., Liu P. (2023) Quantized predefined-time control for heavy-lift launch vehicles under actuator faults and rate gyro malfunctions, ISA Trans. 138, 133–150. https://doi.org/10.1016/j.isatra.2023.02.022. [CrossRef] [Google Scholar]
- Wang Q., Chen L., Xiao G., Wang P., Gu Y., Lu J. (2024) Elevator fault diagnosis based on digital twin and PINNs-e-RGCN, Sci. Rep. 14, 30713. https://doi.org/10.1038/s41598-024-78784-7. [CrossRef] [Google Scholar]
- Zhang R., Wang S., Ma J., Jiang Y., Wang P., Liu T., Yang Y. (2024) An asymmetric hybrid phase-leg modular multilevel converter with small volume, low cost, and DC fault-blocking capability, IEEE Trans. Power Electron. 40, 5336–5351. https://doi.org/10.1109/TPEL.2024.3510792. [Google Scholar]
- Zhang J., Feng X., Zhou J., Zang J., Wang J., Shi G. (2023) Series – shunt multiport soft normally open points, IEEE Trans. Ind. Electron. 70, 11, 10811–10821. https://doi.org/10.1109/TIE.2022.3229375. [CrossRef] [Google Scholar]
- Sun J., Wang L., Li J., Li F., Fang Y. (2024) An on-line imaging sensor based on magnetic deposition and flowing dispersion for wear debris feature monitoring, Mech. Syst. Signal Process. 212, 111321. https://doi.org/10.1016/j.ymssp.2024.111321. [CrossRef] [Google Scholar]
- Miaofen L., Youmin L., Tianyang W., Chu F., Peng Z.K. (2023) Adaptive synchronous demodulation transform with application to analyzing multicomponent signals for machinery fault diagnostics, Mech. Syst. Signal Process. 191, 110208. https://doi.org/10.1016/j.ymssp.2023.110208. [CrossRef] [Google Scholar]
- Hang J., Wang X., Li W., Ding S. (2025) Interturn short-circuit fault diagnosis and fault-tolerant control of DTP-PMSM based on subspace current residuals, IEEE Trans. Power Electron. 40, 2, 3395–3404. https://doi.org/10.1109/TPEL.2024.3484469. [CrossRef] [Google Scholar]
- Hang J., Qiu G., Hao M., Ding S. (2024) Improved fault diagnosis method for permanent magnet synchronous machine system based on lightweight multi-source information data layer fusion, IEEE Trans. Power Electron. 39, 13808–13817. https://doi.org/10.1109/TPEL.2024.3432163. [CrossRef] [Google Scholar]
- Ni L., Chen J., Chen G., Zhao D., Wang G., Aphale S. (2024) An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis, Eng. Appl. Artif. Intell. 136, 108904. https://doi.org/10.1016/j.engappai.2024.108904. [CrossRef] [Google Scholar]
- Fan H., Wang C., Li S. (2024) Computer methods in applied mechanics and engineering novel method for reliability optimization design based on rough set theory and hybrid surrogate model, Comput. Methods Appl. Mech. Eng. 429, 117170. https://doi.org/10.1016/j.cma.2024.117170. [CrossRef] [Google Scholar]
- Zhang H., Chen Z., Yu C., Yue D., Xie X., Hancke G. (2024) Event-trigger-based resilient distributed energy management against FDI and DoS attack of cyber–physical system of smart grid, IEEE Trans. Syst. Man Cybern. Syst. 54, 3220–3230. https://doi.org/10.1109/TSMC.2024.3357497. [CrossRef] [Google Scholar]
- Zhi S., Shen H., Wang T. (2024) Gearbox localized fault detection based on meshing frequency modulation analysis, Appl. Acoust. 219: 109943. https://doi.org/10.1016/j.apacoust.2024.109943. [CrossRef] [Google Scholar]
- Hu X., Tang T., Tan L., Zhang H. (2023) Fault detection for point machines: a review, challenges, and perspectives, Actuators 12, 10, 391. https://doi.org/10.3390/act12100391. [CrossRef] [Google Scholar]
- Lin L., Ma X., Chen C., Xu J., Huang N. (2024) Imbalanced industrial load identification based on optimized CatBoost with entropy features, J. Electr. Eng. Technol. 19, 1–16. https://doi.org/10.1007/s42835-024-01933-5. [CrossRef] [Google Scholar]
- Huang Z., Zhang C., Ge L., Chen Z., Lu K., Wu C. (2024) Joining spatial deformable convolution and a dense feature pyramid for surface defect detection, IEEE Trans. Instrum. Meas. 73, 5012614. https://doi.org/10.1109/TIM.2024.3370962. [Google Scholar]
- Qiao Y., Lu J., Wang T., Liu K., Zhang B., Snoussi H. (2023) A multihead attention self-supervised representation model for industrial sensors anomaly detection, IEEE Trans. Ind. Inform. 20, 2190–2199. https://doi.org/10.1109/TII.2023.3280337. [Google Scholar]
- Rong Q., Hu P., Yu Y., Wang D., Cao Y., Xin H. (2024) Virtual External perturbance-based impedance measurement of grid-connected converter, IEEE Trans. Ind. Inform. 72, 2644–2654. https://doi.org/10.1109/TIE.2024.3436629. [Google Scholar]
- Rong Q., Hu P., Wang L., Li Y., Yu Y., Wang D., Cao Y. (2024) Asymmetric sampling disturbance-based universal impedance measurement method for converters, IEEE Trans. Power Electron. 39, 15457–15461. https://doi.org/10.1109/TPEL.2024.3451403. [CrossRef] [Google Scholar]
- Meng X., Lin L., Li H., Chen Y., Mei H. (2024) Characteristics of streamer discharge along the insulation surface with embedded electrode, IEEE Trans. Dielectr. Electr. Insul. 31, 2038–2044. https://doi.org/10.1109/TDEI.2024.3394833. [CrossRef] [Google Scholar]
- Zhi S., Wu H., Shen H., Wang T., Fu H. (2024) Entropy-aided meshing-order modulation analysis for wind turbine planetary gear weak fault detection under variable rotational speed, Entropy 26, 5, 409. https://doi.org/10.3390/e26050409. [CrossRef] [PubMed] [Google Scholar]
- Zhang J., Li H., Kong X., Zhou J., Shi G., Zang J., Wang J. (2024) A novel multiple-medium-AC-port power electronic transformer, IEEE Trans. Ind. Electron. 71, 7, 6568–6578. https://doi.org/10.1109/TIE.2023.3301550. [CrossRef] [Google Scholar]
- McCulloch W.S., Pitts W. (1943) A logical calculus of the ideas immanent in nervous activity, Bull. Math. Biophys. 5, 4, 115–133. https://doi.org/10.1007/BF02478259. [CrossRef] [Google Scholar]
- Zhang H., Yu C., Zeng M., Ye T., Yue D., Dou C., Xie X., Hancke G.P. (2024) Homomorphic encryption-based resilient distributed energy management under cyber-attack of micro-grid with event-triggered mechanism, IEEE Trans. Smart Grid 15, 5, 5115–5126. https://doi.org/10.1109/TSG.2024.3390108. [CrossRef] [Google Scholar]
- Lin L., Liu J., Huang N., Li S., Zhang Y. (2024) Multiscale spatio-temporal feature fusion based non-intrusive appliance load monitoring for multiple industrial industries, Appl. Soft Comput. 167, 112445. https://doi.org/10.1016/j.asoc.2024.112445. [CrossRef] [Google Scholar]
- Wang H., Zhou Z., Xu Z., Ge X., Yang Y., Zhang Y., Yao B., Xie D. (2024) A thermal network model for multichip power modules enabling to characterize the thermal coupling effects, IEEE Trans. Power Electron. 39, 5, 6225–6245. https://doi.org/10.1109/TPEL.2024.3355207. [CrossRef] [Google Scholar]
- Li T., Shi H., Bai X., Li N., Zhang K. (2025) Rolling bearing performance assessment with degradation twin modeling considering interdependent fault evolution, Mech. Syst. Signal Process. 224, 112194. https://doi.org/10.1016/j.ymssp.2024.112194. [CrossRef] [Google Scholar]
- Liu K., Jiao S., Nie G., Ma H., Gao B., Sun C., Xin D., Saha T.K., Wu G. (2024) On image transformation for partial discharge source identification in vehicle cable terminals of high-speed trains, High Voltage 9, 5, 1090–1100. https://doi.org/10.1049/hve2.12487. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.