Artículos de revistas sobre el tema "Inner race bearing fault"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Inner race bearing fault".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Fei, Cheng-Wei, Yat-Sze Choy, Guang-Chen Bai y Wen-Zhong Tang. "Multi-feature entropy distance approach with vibration and acoustic emission signals for process feature recognition of rolling element bearing faults". Structural Health Monitoring 17, n.º 2 (24 de enero de 2017): 156–68. http://dx.doi.org/10.1177/1475921716687167.
Texto completoKaryatanti, Iradiratu, Firsyaldo Purnomo, Ananda Noersena, Rafli Zulkifli, Nuddin Harahab, Ratno Wibowo, Agus Budiarto y Ardik Wijayanto. "Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform". Serbian Journal of Electrical Engineering 20, n.º 1 (2023): 33–47. http://dx.doi.org/10.2298/sjee2301033k.
Texto completoWang, Hongchao. "Fault diagnosis of rolling element bearing compound faults based on sparse no-negative matrix factorization-support vector data description". Journal of Vibration and Control 24, n.º 2 (10 de marzo de 2016): 272–82. http://dx.doi.org/10.1177/1077546316637979.
Texto completoManjunatha, G. y H. C. Chittappa. "Bearing Fault Classification using Empirical Mode Decomposition and Machine Learning Approach". Journal of Mines, Metals and Fuels 70, n.º 4 (20 de junio de 2022): 214. http://dx.doi.org/10.18311/jmmf/2022/30060.
Texto completoSun, J., Gang Yu y Chang Ning Li. "Bearing Fault Diagnosis Using Gaussian Mixture Models (GMMs)". Applied Mechanics and Materials 10-12 (diciembre de 2007): 553–57. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.553.
Texto completoChen, Xiaohui, Lei Xiao, Xinghui Zhang y Zhenxiang Liu. "A heterogeneous fault diagnosis method for bearings in gearbox". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, n.º 8 (27 de julio de 2014): 1491–99. http://dx.doi.org/10.1177/0954406214544727.
Texto completoShi, Yuan Cheng, Yong Ying Jiang, Hai Feng Gao y Jia Wei Xiang. "A Modified EEMD Decomposition for the Detection of Rolling Bearing Faults". Applied Mechanics and Materials 548-549 (abril de 2014): 369–73. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.369.
Texto completoTian, Jing, Yan-Ting Ai, Cheng-Wei Fei, Feng-Ling Zhang y Yat-Sze Choy. "Dynamic modeling and simulation of inter-shaft bearings with localized defects excited by time-varying displacement". Journal of Vibration and Control 25, n.º 8 (29 de enero de 2019): 1436–46. http://dx.doi.org/10.1177/1077546318824927.
Texto completoDu, Jianxi, Lingli Cui, Jianyu Zhang, Jin Li y Jinfeng Huang. "The Method of Quantitative Trend Diagnosis of Rolling Bearing Fault Based on Protrugram and Lempel–Ziv". Shock and Vibration 2018 (1 de noviembre de 2018): 1–8. http://dx.doi.org/10.1155/2018/4303109.
Texto completoJamil, Mohd Atif y Sidra Khanam. "Fault Classification of Rolling Element Bearing in Machine Learning Domain". International Journal of Acoustics and Vibration 27, n.º 2 (30 de junio de 2022): 77–90. http://dx.doi.org/10.20855/ijav.2022.27.21829.
Texto completoLiu, Jing, Yimin Shao y Xiaomeng Qin. "Dynamic simulation for a tapered roller bearing considering a localized surface fault on the rib of the inner race". Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 231, n.º 4 (22 de febrero de 2017): 670–83. http://dx.doi.org/10.1177/1464419317695171.
Texto completoGe, Mingtao, Jie Wang, Yicun Xu, Fangfang Zhang, Ke Bai y Xiangyang Ren. "Rolling Bearing Fault Diagnosis Based on EWT Sub-Modal Hypothesis Test and Ambiguity Correlation Classification". Symmetry 10, n.º 12 (7 de diciembre de 2018): 730. http://dx.doi.org/10.3390/sym10120730.
Texto completoShen, Changqing, Qingbo He, Fanrang Kong y Peter W. Tse. "A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, n.º 6 (25 de septiembre de 2012): 1362–70. http://dx.doi.org/10.1177/0954406212460628.
Texto completoTang, Guiji, Bin Pang, Tian Tian y Chong Zhou. "Fault Diagnosis of Rolling Bearings Based on Improved Fast Spectral Correlation and Optimized Random Forest". Applied Sciences 8, n.º 10 (10 de octubre de 2018): 1859. http://dx.doi.org/10.3390/app8101859.
Texto completoZhang, Junhong, Xin Lu, Jiewei Lin, Liang Ma y Jun Wang. "Dynamic Analysis of a Rotor-Bearing-SFD System with the Bearing Inner Race Defect". Shock and Vibration 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/2489376.
Texto completoKumar, Prashant, Prince Kumar, Ananda Shankar Hati y Heung Soo Kim. "Deep Transfer Learning Framework for Bearing Fault Detection in Motors". Mathematics 10, n.º 24 (9 de diciembre de 2022): 4683. http://dx.doi.org/10.3390/math10244683.
Texto completoAlShalalfeh, Ashraf y Laith Shalalfeh. "Bearing Fault Diagnosis Approach under Data Quality Issues". Applied Sciences 11, n.º 7 (6 de abril de 2021): 3289. http://dx.doi.org/10.3390/app11073289.
Texto completoStack, J. R., T. G. Habetler y R. G. Harley. "Fault-signature modeling and detection of inner-race bearing faults". IEEE Transactions on Industry Applications 42, n.º 1 (enero de 2006): 61–68. http://dx.doi.org/10.1109/tia.2005.861365.
Texto completoAnbu, Thangavelu y Ashok. "Fuzzy C-Means Based Clustering and Rule Formation Approach for Classification of Bearing Faults Using Discrete Wavelet Transform". Computation 7, n.º 4 (23 de septiembre de 2019): 54. http://dx.doi.org/10.3390/computation7040054.
Texto completoGu, Xiaohui, Shaopu Yang, Yongqiang Liu, Feiyue Deng y Bin Ren. "Compound faults detection of the rolling element bearing based on the optimal complex Morlet wavelet filter". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, n.º 10 (22 de mayo de 2017): 1786–801. http://dx.doi.org/10.1177/0954406217710673.
Texto completoBi, Guo, Jin Chen, Jun He, Fuchang Zhou y Gui Cai Zhang. "Application of Degree of Cyclostationarity in Rolling Element Bearing Diagnosis". Key Engineering Materials 293-294 (septiembre de 2005): 347–54. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.347.
Texto completoTian, Jing, Yanting Ai, Chengwei Fei, Ming Zhao, Fengling Zhang y Zhi Wang. "Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method". Shock and Vibration 2018 (29 de agosto de 2018): 1–8. http://dx.doi.org/10.1155/2018/7546128.
Texto completoGong, Tingkai, Xiaohui Yuan, Xu Wang, Yanbin Yuan y Binqiao Zhang. "Fault diagnosis for rolling element bearing using variational mode decomposition and l1 trend filtering". Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 234, n.º 1 (11 de septiembre de 2019): 116–28. http://dx.doi.org/10.1177/1748006x19869114.
Texto completoChen, Zhaowen, Ning Gao, Wei Sun, Qiong Chen, Fengying Yan, Xinyu Zhang, Maria Iftikhar, Shiwei Liu y Zhongqi Ren. "A Signal Based Triangular Structuring Element for Mathematical Morphological Analysis and Its Application in Rolling Element Bearing Fault Diagnosis". Shock and Vibration 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/590875.
Texto completoLuo, Wei, Changfeng Yan, Junbao Yang, Yaofeng Liu y Lixiao Wu. "Vibration response of defect-ball-defect of rolling bearing with compound defects on both inner and outer races". IOP Conference Series: Materials Science and Engineering 1207, n.º 1 (1 de noviembre de 2021): 012006. http://dx.doi.org/10.1088/1757-899x/1207/1/012006.
Texto completoAo, HungLinh, Junsheng Cheng, Kenli Li y Tung Khac Truong. "A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM". Shock and Vibration 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/825825.
Texto completoWang, Dong Yun, Wen Zhi Zhang, Wei Ping Lu y J. W. Du. "Application of Wavelet Packet Transform for Detection of Ball Bearing Race Fault". Materials Science Forum 626-627 (agosto de 2009): 511–16. http://dx.doi.org/10.4028/www.scientific.net/msf.626-627.511.
Texto completoMohammed, Jawad y Jaber Abdulhady. "Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart". FME Transactions 49, n.º 3 (2021): 684–95. http://dx.doi.org/10.5937/fme2103684m.
Texto completoUsgame Sandoval, Hector M., Camilo A. Pedraza Ramírez y Jabid Quiroga. "Acoustic emission-based early fault detection in tapered roller bearings". Ingeniería e Investigación 33, n.º 3 (1 de septiembre de 2013): 5–10. http://dx.doi.org/10.15446/ing.investig.v33n3.41032.
Texto completoTyagi, Sunil y S. K. Panigrahi. "An improved envelope detection method using particle swarm optimisation for rolling element bearing fault diagnosis". Journal of Computational Design and Engineering 4, n.º 4 (22 de mayo de 2017): 305–17. http://dx.doi.org/10.1016/j.jcde.2017.05.002.
Texto completoGuo, Yu Jie, Jing Yu Liu, Jie Li, Zhan Hui Liu y Wen Tao Zhang. "A Method for Improving Envelope Spectrum Symptom of Fault Rolling Bearing Based on the Auto-Correlation Acceleration Signal". Applied Mechanics and Materials 275-277 (enero de 2013): 856–64. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.856.
Texto completoDu, Wenliao, Zhiyang Wang, Xiaoyun Gong, Liangwen Wang y Guofu Luo. "Optimum IMFs Selection Based Envelope Analysis of Bearing Fault Diagnosis in Plunger Pump". Shock and Vibration 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/1248626.
Texto completoBuzzoni, Marco, Elia Soave, Gianluca D’Elia, Emiliano Mucchi y Giorgio Dalpiaz. "Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods". Shock and Vibration 2018 (16 de diciembre de 2018): 1–13. http://dx.doi.org/10.1155/2018/5384358.
Texto completoAn, Xueli y Luoping Pan. "Wind turbine bearing fault diagnosis based on adaptive local iterative filtering and approximate entropy". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, n.º 17 (4 de abril de 2016): 3228–37. http://dx.doi.org/10.1177/0954406216642478.
Texto completoJiang, Fan, Zhencai Zhu, Wei Li, Bo Wu, Zhe Tong y Mingquan Qiu. "Feature Extraction Strategy with Improved Permutation Entropy and Its Application in Fault Diagnosis of Bearings". Shock and Vibration 2018 (4 de septiembre de 2018): 1–12. http://dx.doi.org/10.1155/2018/1063645.
Texto completoIrfan, Muhammad, Faisal Althobiani, Abdullah Saeed Alwadie, Maryam Zaffar, Ali Abbass, Adam Glowacz, Saleh Mohammed Ghonaim et al. "Condition monitoring of water pump bearings using ensemble classifier". Advances in Mechanical Engineering 14, n.º 3 (marzo de 2022): 168781322210891. http://dx.doi.org/10.1177/16878132221089170.
Texto completoLi, Meijiao, Huaqing Wang, Gang Tang, Hongfang Yuan y Yang Yang. "An Improved Method Based on CEEMD for Fault Diagnosis of Rolling Bearing". Advances in Mechanical Engineering 6 (1 de enero de 2014): 676205. http://dx.doi.org/10.1155/2014/676205.
Texto completoAn, Xueli y Yongjun Tang. "Application of variational mode decomposition energy distribution to bearing fault diagnosis in a wind turbine". Transactions of the Institute of Measurement and Control 39, n.º 7 (2 de febrero de 2016): 1000–1006. http://dx.doi.org/10.1177/0142331215626247.
Texto completoLi, Hui. "Local Mean Decomposition Based Bearing Fault Detection". Advanced Materials Research 490-495 (marzo de 2012): 360–64. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.360.
Texto completoSaha, Dip Kumar, Md Emdadul Hoque y Hamed Badihi. "Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach". Sensors 22, n.º 3 (29 de enero de 2022): 1073. http://dx.doi.org/10.3390/s22031073.
Texto completoKe, Wei, Yong Xiang Zhang y Lin Li. "Cyclic Spectrum Analysis on Rolling-Element Bearing with Inner-Race Point Defect". Advanced Materials Research 291-294 (julio de 2011): 1469–73. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.1469.
Texto completoHamadache, Moussa, Dongik Lee, Emiliano Mucchi y Giorgio Dalpiaz. "Vibration-Based Bearing Fault Detection and Diagnosis via Image Recognition Technique Under Constant and Variable Speed Conditions". Applied Sciences 8, n.º 8 (17 de agosto de 2018): 1392. http://dx.doi.org/10.3390/app8081392.
Texto completoCui, Du, Yang, Xu y Song. "Compound Faults Feature Extraction for Rolling Bearings Based on Parallel Dual-Q-Factors and the Improved Maximum Correlated Kurtosis Deconvolution". Applied Sciences 9, n.º 8 (23 de abril de 2019): 1681. http://dx.doi.org/10.3390/app9081681.
Texto completoEl Morsy, Mohamed y Gabriela Achtenova. "DETERMINATION OF ROLLER BEARING INNER RACE DEFECT BASED ON VIBRATION SIGNAL". Volume 24, No 3, September 2019 24, n.º 3 (septiembre de 2019): 467–75. http://dx.doi.org/10.20855/ijav.2019.24.31291.
Texto completoChen, Lihai, Ao Tan, Lixiu Yang, Xiaoxu Pang y Ming Qiu. "Defect Size Evaluation of Cylindrical Roller Bearings with Compound Faults on the Inner and Outer Races". Mathematical Problems in Engineering 2022 (21 de septiembre de 2022): 1–12. http://dx.doi.org/10.1155/2022/6070822.
Texto completoYuan, Xiaoqing, Naqash Azeem, Azka Khalid y Jahanzeb Jabbar. "Vibration Energy at Damage-Based Statistical Approach to Detect Multiple Damages in Roller Bearings". Applied Sciences 12, n.º 17 (26 de agosto de 2022): 8541. http://dx.doi.org/10.3390/app12178541.
Texto completoGelman, Len y Gabrijel Persin. "Novel Fault Diagnosis of Bearings and Gearboxes Based on Simultaneous Processing of Spectral Kurtoses". Applied Sciences 12, n.º 19 (4 de octubre de 2022): 9970. http://dx.doi.org/10.3390/app12199970.
Texto completoFeng, Zhi Peng, Jin Zhang, Ru Jiang Hao, Fu Lei Chu y Xue Jun Li. "Time-Wavelet Energy Spectral Analysis for Fault Diagnosis of Rolling Element Bearings". Applied Mechanics and Materials 34-35 (octubre de 2010): 655–60. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.655.
Texto completoSuthar, Venish, Vinay Vakharia, Vivek K. Patel y Milind Shah. "Detection of Compound Faults in Ball Bearings Using Multiscale-SinGAN, Heat Transfer Search Optimization, and Extreme Learning Machine". Machines 11, n.º 1 (26 de diciembre de 2022): 29. http://dx.doi.org/10.3390/machines11010029.
Texto completoJie, Bian, Chang Qing Huo y Jing Jing Yu. "Fault Feature Detection of Rolling Bearing Based on LMD and Third-Order Cumulant Diagonal Slice Spectrum". Applied Mechanics and Materials 851 (agosto de 2016): 333–39. http://dx.doi.org/10.4028/www.scientific.net/amm.851.333.
Texto completo