Academic literature on the topic 'Broken rotor bar faults'
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Journal articles on the topic "Broken rotor bar faults"
Abdi Monfared, Omid, Aref Doroudi, and Amin Darvishi. "Diagnosis of rotor broken bars faults in squirrel cage induction motor using continuous wavelet transform." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 1 (January 7, 2019): 167–82. http://dx.doi.org/10.1108/compel-11-2017-0487.
Full textValtierra-Rodriguez, Martin, Jesus R. Rivera-Guillen, Jesus A. Basurto-Hurtado, J. Jesus De-Santiago-Perez, David Granados-Lieberman, and Juan P. Amezquita-Sanchez. "Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors." Sensors 20, no. 13 (July 3, 2020): 3721. http://dx.doi.org/10.3390/s20133721.
Full textYin, Jintian, Yongfang Xie, Tao Peng, Chunhua Yang, and Zhiwen Chen. "Current Characteristics Analysis and Fault Injection of an Early Weak Fault in Broken Rotor Bar of Traction Motor." Mathematical Problems in Engineering 2018 (October 10, 2018): 1–8. http://dx.doi.org/10.1155/2018/4934720.
Full textTang, Jing, Jie Chen, Kan Dong, Yongheng Yang, Haichen Lv, and Zhigang Liu. "Modeling and Evaluation of Stator and Rotor Faults for Induction Motors." Energies 13, no. 1 (December 26, 2019): 133. http://dx.doi.org/10.3390/en13010133.
Full textChouidira, Ibrahim, Djalal Eddine Khodja, and Hani Benguesmia. "Detection and Diagnosis faults in Machine asynchronous based on single processing." International Journal of Energetica 4, no. 1 (June 30, 2019): 11. http://dx.doi.org/10.47238/ijeca.v4i1.89.
Full textMisra, Sajal, Satish Kumar, Sameer Sayyad, Arunkumar Bongale, Priya Jadhav, Ketan Kotecha, Ajith Abraham, and Lubna Abdelkareim Gabralla. "Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data." Sensors 22, no. 21 (October 26, 2022): 8210. http://dx.doi.org/10.3390/s22218210.
Full textLiu, Xinyue, Yan Yan, Kaibo Hu, Shan Zhang, Hongjie Li, Zhen Zhang, and Tingna Shi. "Fault Diagnosis of Rotor Broken Bar in Induction Motor Based on Successive Variational Mode Decomposition." Energies 15, no. 3 (February 7, 2022): 1196. http://dx.doi.org/10.3390/en15031196.
Full textFerrucho-Alvarez, Edna Rocio, Ana Laura Martinez-Herrera, Eduardo Cabal-Yepez, Carlos Rodriguez-Donate, Misael Lopez-Ramirez, and Ruth Ivonne Mata-Chavez. "Broken Rotor Bar Detection in Induction Motors through Contrast Estimation." Sensors 21, no. 22 (November 9, 2021): 7446. http://dx.doi.org/10.3390/s21227446.
Full textMesbeh, Amina, Marwen Jarboui, and Ahmed Masmoudi. "Broken bar and end-ring faults: analysis of their effects on the rotor cage currents." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 34, no. 6 (November 2, 2015): 1771–95. http://dx.doi.org/10.1108/compel-06-2015-0222.
Full textXie, Ying, Ze Wang, Xueting Shan, and Yangyang Li. "Investigation of rotor thermal stress in squirrel cage induction motor with broken bar faults." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, no. 5 (September 5, 2016): 1865–86. http://dx.doi.org/10.1108/compel-10-2015-0372.
Full textDissertations / Theses on the topic "Broken rotor bar faults"
Dejan, Reljić. "Otkrivanje kvara rotora kaveznog asinhronog motora primenom tehnika analize terminalnih veličina." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=104840&source=NDLTD&language=en.
Full textIn this Doctoral dissertation, a novel method for broken rotor bar fault detectionin a three-phase squirrel-cage induction motor (IM) is introduced. The proposedmethod is non-invasive and it is based on the analysis of the IM terminalquantities in a single-phase steady-state operating condition. Compared toconventional fault detection techniques, the developed method does not requireany loading on the motor, which is the main benefit of the method. The faultycondition of broken rotor bars was investigated analytically, while theeffectiveness of the proposed method was proven by the variety of computersimulations and experimental results. Based on these results, a methodology forthe quantification of broken rotor bars in the IM has been presented.
Ayhan, Bulent. "Linguistic Rule Generation for Broken Rotor Bar Detection in Squirrel-cage Induction Motors." NCSU, 2005. http://www.lib.ncsu.edu/theses/available/etd-12072005-232928/.
Full textDias, Cleber Gustavo. "Proposta de um novo método para a detecção de barras rompidas em motores de indução com rotor em gaiola." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/3/3143/tde-15092006-165225/.
Full textThe study of operational conditions of an induction motor in an industrial environment is indispensable, once eventual problems can contribute for production losses, or still for additional costs related to the lack of equipments maintenance. Among the principal faults, in a squirrel cage induction motor can occur the breaking of one or more rotor bars. This work presents a new method in aid of detection of broken bars in a large squirrel cage induction motor during its operation in steady-state. A mathematical model is used to evaluate the broken rotor bars, detecting in a specific point, the resulting magnetic flux density produced by the leakage flux created by the rotor and stator currents. The Hall effect sensor is installed between two stator coils, in order to represent the position where the resulting magnetic flux density is calculated by the proposed mathematical model. The signal detected in the sensor during a fault, is compared to the obtained result of the magnetic flux density from a healthy rotor for analysis. The work still suggests the application of the artificial intelligence technique, based on artificial neural networks in the mathematical model, in order to aid on the fault detection and estimate of the number of broken bars. The simulation and experimental results are presented in order to validate the developed mathematical model.
Duan, Fang. "Diagnostics of rotor and stator problems in industrial induction motors." Thesis, 2010. http://hdl.handle.net/2440/65202.
Full textThesis (M.Eng.Sc.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2010
Ahmed, Intesar. "Investigation of single and multiple faults under varying load conditions using multiple sensor types to improve condition monitoring of induction machines." 2008. http://hdl.handle.net/2440/58576.
Full texthttp://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1298314
Thesis (Ph.D.)-- University of Adelaide, School of Electrical and Electronic Engineering, 2008
Chen, Shuo. "Induction machine broken rotor bar diagnostics using prony analysis." 2008. http://hdl.handle.net/2440/49030.
Full textThesis (M.Eng.Sc.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2008
Al, Tuaimi Hamad A. "Detection of incipient rotor bar faults and air-gap asymmetries in squirrel-cage motors using stator current monitoring /." 2005. http://hdl.handle.net/1957/11805.
Full textBooks on the topic "Broken rotor bar faults"
Zagirnyak, Mykhaylo V., Zhanna Iv Romashykhina, and Andrii P. Kalinov. Diagnostics of Induction Motor Broken Rotor Bars on the Basis of the Electromotive Force Analysis. Nova Science Publishers, Incorporated, 2017.
Find full textBook chapters on the topic "Broken rotor bar faults"
Karmakar, Subrata, Surajit Chattopadhyay, Madhuchhanda Mitra, and Samarjit Sengupta. "Broken Rotor Bar." In Induction Motor Fault Diagnosis, 57–78. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0624-1_4.
Full textTang, Jing, Chao Liang, Yuanhang Wang, Jie Chen, Qiang Huang, and Bin Shang. "Rotor Broken Bar Fault Diagnosis for Induction Traction Motor Considering Low Load Condition." In Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021, 14–19. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9905-4_2.
Full textVerma, Alok, Pratul Arvind, Somnath Sarangi, Jayendra Kumar, and Anumeha. "Detection of Broken Rotor Bar Fault in an Induction Motor Employing Motor Current Signature Analysis." In Recent Advances in Power Electronics and Drives, 523–30. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9239-0_39.
Full textLi, Haiyang, Funso Otuyemi, Guojin Feng, Dong Zhen, Fengshou Gu, and Andrew Ball. "Application of Teager Energy for Broken Rotor bar Fault Detection Based on the Motor Current Signature Analysis." In Proceedings of IncoME-V & CEPE Net-2020, 523–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75793-9_49.
Full textOtuyemi, Funso, Haiyang Li, Fengshou Gu, and Andrew D. Ball. "Broken Rotor Bar Fault Detection Working at a Low Slip Using Harmonic Order Tracking Analysis Based on Motor Current Signature Analysis." In Proceedings of IncoME-V & CEPE Net-2020, 756–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75793-9_73.
Full textArabaci, Hayri, and Osman Bilgin. "Efficiency Analysis of Submersible Induction Motor with Broken Rotor Bar." In Transactions on Engineering Technologies, 27–40. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9115-1_3.
Full textKumar, Prashant, and Ananda Shankar Hati. "Support Vector Classifier-Based Broken Rotor Bar Detection in Squirrel Cage Induction Motor." In Lecture Notes in Mechanical Engineering, 429–38. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0550-5_42.
Full textKatalin, Ágoston. "Study and Simulation of a Broken Induction Motor Rotor Bar Caused Motor Vibration." In The 15th International Conference Interdisciplinarity in Engineering, 584–90. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93817-8_52.
Full textWang, Zuolu, Haiyang Li, Dong Zhen, Fengshou Gu, and Andrew Ball. "Vibration Signature Analysis for Broken Rotor Bar Diagnosis in Induction Motors Based on Cyclic Modulation Spectrum." In Proceedings of IncoME-V & CEPE Net-2020, 616–26. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75793-9_59.
Full textLaribi, Souad Saadi, and Azzedine Bendiabdellah. "Induction Machine Rotor and Stator Faults Detection by Applying the N-F Network." In Advances in Computer and Electrical Engineering, 205–21. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6989-3.ch010.
Full textConference papers on the topic "Broken rotor bar faults"
Edomwandekhoe, Kenneth, and Xiaodong Liang. "Current Spectral Analysis of Broken Rotor Bar Faults for Induction Motors." In 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE). IEEE, 2018. http://dx.doi.org/10.1109/ccece.2018.8447776.
Full textEddine Cherif, Bilal Djamal, Azeddine Bendiabdellah, and Sara Seninete. "Induction Motor Diagnosis with Broken Rotor Bar Faults Using DWT Technique." In 2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE, 2021. http://dx.doi.org/10.1109/icecce52056.2021.9514085.
Full textEdomwandekhoe, Kenneth, and Xiaodong Liang. "Advanced feature selection for broken rotor bar faults in induction motors." In 2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS). IEEE, 2018. http://dx.doi.org/10.1109/icps.2018.8369981.
Full textHamdani, S., O. Touhami, R. Ibtiouen, and M. Fadel. "Neural network technique for induction motor rotor faults classification-dynamic eccentricity and broken bar faults-." In 2011 8th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives - (SDEMPED 2011). IEEE, 2011. http://dx.doi.org/10.1109/demped.2011.6063689.
Full textGyftakis, Konstantinos N., and Joya C. Kappatou. "Evaluation of the broken bar fault detectability depending on the rotor bar number." In IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2013. http://dx.doi.org/10.1109/iecon.2013.6699574.
Full textArabaci, Hayri, and Osman Bilgin. "Diagnosis of broken rotor bar faults by using frequency spectrum of stator current envelope." In 2012 XXth International Conference on Electrical Machines (ICEM). IEEE, 2012. http://dx.doi.org/10.1109/icelmach.2012.6350100.
Full textSharma, Amandeep, Lini Mathew, and Shantanu Chatterji. "Analysis of Broken Rotor bar Fault Diagnosis for Induction Motor." In 2017 International Conference on Innovations in Control, Communication and Information Systems (ICICCI). IEEE, 2017. http://dx.doi.org/10.1109/iciccis.2017.8660808.
Full textFu, Jinliang, Chun Xiao, Yuanzheng Lu, and Yiqi Wang. "Study on Simulation of Asynchronous Motor Rotor Broken Bar Fault." In 2019 Chinese Automation Congress (CAC). IEEE, 2019. http://dx.doi.org/10.1109/cac48633.2019.8996853.
Full textSupangat, Randy, Jason Grieger, Nesimi Ertugrul, Wen L. Soong, Douglas A. Gray, and Colin Hansen. "Detection of Broken Rotor Bar Faults and Effects of Loading in Induction Motors during Rundown." In 2007 IEEE International Electric Machines & Drives Conference. IEEE, 2007. http://dx.doi.org/10.1109/iemdc.2007.383576.
Full textKhadim Moin Siddiqui and V. K. Giri. "Broken rotor bar fault detection in induction motors using Wavelet Transform." In 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET). IEEE, 2012. http://dx.doi.org/10.1109/icceet.2012.6203753.
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