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Deep Learning Based Fault Detection and Diagnosis Method for Power Systems

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Mar 17, 2025

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Ghiasi, M., Ghadimi, N., & Ahmadinia, E. (2019). An analytical methodology for reliability assessment and failure analysis in distributed power system. SN Applied Sciences, 1(1), 44. Ghiasi M. Ghadimi N. Ahmadinia E. ( 2019 ). An analytical methodology for reliability assessment and failure analysis in distributed power system . SN Applied Sciences , 1 ( 1 ), 44 . Search in Google Scholar

Guo, H., Zheng, C., Iu, H. H. C., & Fernando, T. (2017). A critical review of cascading failure analysis and modeling of power system. Renewable and Sustainable Energy Reviews, 80, 9-22. Guo H. Zheng C. Iu H. H. C. Fernando T. ( 2017 ). A critical review of cascading failure analysis and modeling of power system . Renewable and Sustainable Energy Reviews , 80 , 9 - 22 . Search in Google Scholar

Song, J., Cotilla-Sanchez, E., Ghanavati, G., & Hines, P. D. (2015). Dynamic modeling of cascading failure in power systems. IEEE Transactions on Power Systems, 31(3), 2085-2095. Song J. Cotilla-Sanchez E. Ghanavati G. Hines P. D. ( 2015 ). Dynamic modeling of cascading failure in power systems . IEEE Transactions on Power Systems , 31 ( 3 ), 2085 - 2095 . Search in Google Scholar

Anderson, P. M., Henville, C. F., Rifaat, R., Johnson, B., & Meliopoulos, S. (2022). Power system protection. John Wiley & Sons. Anderson P. M. Henville C. F. Rifaat R. Johnson B. Meliopoulos S. ( 2022 ). Power system protection . John Wiley & Sons . Search in Google Scholar

Fofana, I., & Hadjadj, Y. (2016). Electrical-based diagnostic techniques for assessing insulation condition in aged transformers. Energies, 9(9), 679. Fofana I. Hadjadj Y. ( 2016 ). Electrical-based diagnostic techniques for assessing insulation condition in aged transformers . Energies , 9 ( 9 ), 679 . Search in Google Scholar

Lee, H. M., Lee, G. S., Kwon, G. Y., Bang, S. S., & Shin, Y. J. (2020). Industrial applications of cable diagnostics and monitoring cables via time–frequency domain reflectometry. IEEE Sensors Journal, 21(2), 1082-1091. Lee H. M. Lee G. S. Kwon G. Y. Bang S. S. Shin Y. J. ( 2020 ). Industrial applications of cable diagnostics and monitoring cables via time–frequency domain reflectometry . IEEE Sensors Journal , 21 ( 2 ), 1082 - 1091 . Search in Google Scholar

Faust, O., Acharya, U. R., Ng, E. Y. K., Hong, T. J., & Yu, W. (2014). Application of infrared thermography in computer aided diagnosis. Infrared Physics & Technology, 66, 160-175. Faust O. Acharya U. R. Ng E. Y. K. Hong T. J. Yu W. ( 2014 ). Application of infrared thermography in computer aided diagnosis . Infrared Physics & Technology , 66 , 160 - 175 . Search in Google Scholar

Li, S., & Li, J. (2017). Condition monitoring and diagnosis of power equipment: review and prospective. High Voltage, 2(2), 82-91. Li S. Li J. ( 2017 ). Condition monitoring and diagnosis of power equipment: review and prospective . High Voltage , 2 ( 2 ), 82 - 91 . Search in Google Scholar

Al-Sheikh, H., & Moubayed, N. (2012, November). Fault detection and diagnosis of renewable energy systems: An overview. In 2012 International Conference on Renewable Energies for Developing Countries (REDEC) (pp. 1-7). IEEE. Al-Sheikh H. Moubayed N. ( 2012 , November ). Fault detection and diagnosis of renewable energy systems: An overview . In 2012 International Conference on Renewable Energies for Developing Countries (REDEC) (pp. 1 - 7 ). IEEE . Search in Google Scholar

Gertler, J. (2021). Fault detection and diagnosis. In Encyclopedia of systems and control (pp. 764-769). Cham: Springer International Publishing. Gertler J. ( 2021 ). Fault detection and diagnosis . In Encyclopedia of systems and control (pp. 764 - 769 ). Cham: Springer International Publishing . Search in Google Scholar

Patel, H. R., & Shah, V. A. (2018). Fault detection and diagnosis methods in power generation plants-the Indian power generation sector perspective: an introductory review. PDPU Journal of Energy and Management, 2(2), 31-49. Patel H. R. Shah V. A. ( 2018 ). Fault detection and diagnosis methods in power generation plants-the Indian power generation sector perspective: an introductory review . PDPU Journal of Energy and Management , 2 ( 2 ), 31 - 49 . Search in Google Scholar

Ma, J., & Jiang, J. (2011). Applications of fault detection and diagnosis methods in nuclear power plants: A review. Progress in nuclear energy, 53(3), 255-266. Ma J. Jiang J. ( 2011 ). Applications of fault detection and diagnosis methods in nuclear power plants: A review . Progress in nuclear energy , 53 ( 3 ), 255 - 266 . Search in Google Scholar

Abid, A., Khan, M. T., & Iqbal, J. (2021). A review on fault detection and diagnosis techniques: basics and beyond. Artificial Intelligence Review, 54(5), 3639-3664. Abid A. Khan M. T. Iqbal J. ( 2021 ). A review on fault detection and diagnosis techniques: basics and beyond . Artificial Intelligence Review , 54 ( 5 ), 3639 - 3664 . Search in Google Scholar

Carbone, M. A., & Loparo, K. A. (2023). Fault detection and diagnosis in spacecraft electrical power systems. Journal of Aerospace Information Systems, 20(6), 308-318. Carbone M. A. Loparo K. A. ( 2023 ). Fault detection and diagnosis in spacecraft electrical power systems . Journal of Aerospace Information Systems , 20 ( 6 ), 308 - 318 . Search in Google Scholar

Appiah, A. Y., Zhang, X., Ayawli, B. B. K., & Kyeremeh, F. (2019). Review and performance evaluation of photovoltaic array fault detection and diagnosis techniques. International Journal of Photoenergy, 2019(1), 6953530. Appiah A. Y. Zhang X. Ayawli B. B. K. Kyeremeh F. ( 2019 ). Review and performance evaluation of photovoltaic array fault detection and diagnosis techniques . International Journal of Photoenergy , 2019 ( 1 ), 6953530 . Search in Google Scholar

Kumar, B. P., Ilango, G. S., Reddy, M. J. B., & Chilakapati, N. (2017). Online fault detection and diagnosis in photovoltaic systems using wavelet packets. IEEE Journal of Photovoltaics, 8(1), 257-265. Kumar B. P. Ilango G. S. Reddy M. J. B. Chilakapati N. ( 2017 ). Online fault detection and diagnosis in photovoltaic systems using wavelet packets . IEEE Journal of Photovoltaics , 8 ( 1 ), 257 - 265 . Search in Google Scholar

Harrou, F., Sun, Y., Taghezouit, B., Saidi, A., & Hamlati, M. E. (2018). Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches. Renewable energy, 116, 22-37. Harrou F. Sun Y. Taghezouit B. Saidi A. Hamlati M. E. ( 2018 ). Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches . Renewable energy , 116 , 22 - 37 . Search in Google Scholar

Aleem, S. A., Shahid, N., & Naqvi, I. H. (2015). Methodologies in power systems fault detection and diagnosis. Energy Systems, 6, 85-108. Aleem S. A. Shahid N. Naqvi I. H. ( 2015 ). Methodologies in power systems fault detection and diagnosis . Energy Systems , 6 , 85 - 108 . Search in Google Scholar

Raza, A., Benrabah, A., Alquthami, T., & Akmal, M. (2020). A review of fault diagnosing methods in power transmission systems. Applied Sciences, 10(4), 1312. Raza A. Benrabah A. Alquthami T. Akmal M. ( 2020 ). A review of fault diagnosing methods in power transmission systems . Applied Sciences , 10 ( 4 ), 1312 . Search in Google Scholar

Mellit, A., Tina, G. M., & Kalogirou, S. A. (2018). Fault detection and diagnosis methods for photovoltaic systems: A review. Renewable and Sustainable Energy Reviews, 91, 1-17. Mellit A. Tina G. M. Kalogirou S. A. ( 2018 ). Fault detection and diagnosis methods for photovoltaic systems: A review . Renewable and Sustainable Energy Reviews , 91 , 1 - 17 . Search in Google Scholar

Abbasi, A. R. (2022). Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods. Electric Power Systems Research, 209, 107990. Abbasi A. R. ( 2022 ). Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods . Electric Power Systems Research , 209 , 107990 . Search in Google Scholar

Vaish, R., Dwivedi, U. D., Tewari, S., & Tripathi, S. M. (2021). Machine learning applications in power system fault diagnosis: Research advancements and perspectives. Engineering Applications of Artificial Intelligence, 106, 104504. Vaish R. Dwivedi U. D. Tewari S. Tripathi S. M. ( 2021 ). Machine learning applications in power system fault diagnosis: Research advancements and perspectives . Engineering Applications of Artificial Intelligence , 106 , 104504 . Search in Google Scholar

Ferreira, V. H., Zanghi, R., Fortes, M. Z., Sotelo, G. G., Silva, R. D. B. M., Souza, J. C. S., & Gomes Jr, S. (2016). A survey on intelligent system application to fault diagnosis in electric power system transmission lines. Electric Power Systems Research, 136, 135-153. Ferreira V. H. Zanghi R. Fortes M. Z. Sotelo G. G. Silva R. D. B. M. Souza J. C. S. Gomes Jr S. ( 2016 ). A survey on intelligent system application to fault diagnosis in electric power system transmission lines . Electric Power Systems Research , 136 , 135 - 153 . Search in Google Scholar

Karić, A., Konjić, T., & Jahić, A. (2018). Power system fault detection, classification and location using artificial neural networks. In Advanced Technologies, Systems, and Applications II: Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (IAT) (pp. 89-101). Springer International Publishing. Karić A. Konjić T. Jahić A. ( 2018 ). Power system fault detection, classification and location using artificial neural networks . In Advanced Technologies, Systems, and Applications II: Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (IAT) (pp. 89 - 101 ). Springer International Publishing . Search in Google Scholar

Yang, H., Liu, X., Zhang, D., Chen, T., Li, C., & Huang, W. (2021). Machine learning for power system protection and control. The Electricity Journal, 34(1), 106881. Yang H. Liu X. Zhang D. Chen T. Li C. Huang W. ( 2021 ). Machine learning for power system protection and control . The Electricity Journal , 34 ( 1 ), 106881 . Search in Google Scholar

Moradzadeh, A., Mohammadi-Ivatloo, B., Pourhossein, K., & Anvari-Moghaddam, A. (2021). Data mining applications to fault diagnosis in power electronic systems: A systematic review. IEEE Transactions on Power Electronics, 37(5), 6026-6050. Moradzadeh A. Mohammadi-Ivatloo B. Pourhossein K. Anvari-Moghaddam A. ( 2021 ). Data mining applications to fault diagnosis in power electronic systems: A systematic review . IEEE Transactions on Power Electronics , 37 ( 5 ), 6026 - 6050 . Search in Google Scholar

Jiang, J. A., Chuang, C. L., Wang, Y. C., Hung, C. H., Wang, J. Y., Lee, C. H., & Hsiao, Y. T. (2011). A hybrid framework for fault detection, classification, and location—Part I: Concept, structure, and methodology. IEEE Transactions on Power Delivery, 26(3), 1988-1998. Jiang J. A. Chuang C. L. Wang Y. C. Hung C. H. Wang J. Y. Lee C. H. Hsiao Y. T. ( 2011 ). A hybrid framework for fault detection, classification, and location—Part I: Concept, structure, and methodology . IEEE Transactions on Power Delivery , 26 ( 3 ), 1988 - 1998 . Search in Google Scholar

Ray, P. K., Panigrahi, B. K., Rout, P. K., Mohanty, A., & Dubey, H. (2017). Detection of faults in a power system using wavelet transform and independent component analysis. In Computer, Communication and Electrical Technology (pp. 227-231). CRC Press. Ray P. K. Panigrahi B. K. Rout P. K. Mohanty A. Dubey H. ( 2017 ). Detection of faults in a power system using wavelet transform and independent component analysis . In Computer, Communication and Electrical Technology (pp. 227 - 231 ). CRC Press . Search in Google Scholar

Ilius, P., Almuhaini, M., Javaid, M., & Abido, M. (2023). A machine learning–based approach for fault detection in power systems. Engineering, Technology & Applied Science Research, 13(4), 11216-11221. Ilius P. Almuhaini M. Javaid M. Abido M. ( 2023 ). A machine learning–based approach for fault detection in power systems . Engineering, Technology & Applied Science Research , 13 ( 4 ), 11216 - 11221 . Search in Google Scholar

Jia Ling Xie, Wei Feng Shi, Ting Xue & Yu Hang Liu. (2024). High-Resistance Connection Fault Diagnosis in Ship Electric Propulsion System Using Res-CBDNN. Journal of Marine Science and Engineering(4). Xie Jia Ling Shi Wei Feng Xue Ting Liu Yu Hang ( 2024 ). High-Resistance Connection Fault Diagnosis in Ship Electric Propulsion System Using Res-CBDNN . Journal of Marine Science and Engineering ( 4 ). Search in Google Scholar

Yuta Mizuno, Atsushi Hosoi, Hiroyuki Koshita, Dai Tsunoda & Hiroyuki Kawada. (2024). Fatigue life prediction of composite materials using strain distribution images and a deep convolution neural network. Scientific Reports(1),25418-25418. Mizuno Yuta Hosoi Atsushi Koshita Hiroyuki Tsunoda Dai Kawada Hiroyuki ( 2024 ). Fatigue life prediction of composite materials using strain distribution images and a deep convolution neural network . Scientific Reports ( 1 ), 25418 - 25418 . Search in Google Scholar

Tahar Bouadjila, Khaled Khelil, Djamel Rahem & Farid Berrezzek. (2024). Hourly Solar Irradiance Forecasting Using Long Short Term Memory and Convolutional Neural Networks. Smart Grids and Sustainable Energy(2),38-38. Bouadjila Tahar Khelil Khaled Rahem Djamel Berrezzek Farid ( 2024 ). Hourly Solar Irradiance Forecasting Using Long Short Term Memory and Convolutional Neural Networks . Smart Grids and Sustainable Energy ( 2 ), 38 - 38 . Search in Google Scholar

Hangbo Duan, Zongyan Cai & Yuanbo Xu. (2024). A hybrid dynamic adversarial domain adaptation network with multi-channel attention mechanism for rotating machinery unsupervised fault diagnosis under varying operating conditions. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science(21),10566-10577. Duan Hangbo Cai Zongyan Xu Yuanbo ( 2024 ). A hybrid dynamic adversarial domain adaptation network with multi-channel attention mechanism for rotating machinery unsupervised fault diagnosis under varying operating conditions . Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science ( 21 ), 10566 - 10577 . Search in Google Scholar

Huaqiang Chen, Weiqiang Tan, Jiajia Guo & Feiran Yang. (2024). SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism. Physical Communication102516-102516. Chen Huaqiang Tan Weiqiang Guo Jiajia Yang Feiran ( 2024 ). SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism . Physical Communication 102516 - 102516 . Search in Google Scholar

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