Статті в журналах з теми "Inner race bearing fault"
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Fei, Cheng-Wei, Yat-Sze Choy, Guang-Chen Bai, and 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, no. 2 (January 24, 2017): 156–68. http://dx.doi.org/10.1177/1475921716687167.
Повний текст джерелаKaryatanti, Iradiratu, Firsyaldo Purnomo, Ananda Noersena, Rafli Zulkifli, Nuddin Harahab, Ratno Wibowo, Agus Budiarto, and Ardik Wijayanto. "Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform." Serbian Journal of Electrical Engineering 20, no. 1 (2023): 33–47. http://dx.doi.org/10.2298/sjee2301033k.
Повний текст джерелаWang, 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, no. 2 (March 10, 2016): 272–82. http://dx.doi.org/10.1177/1077546316637979.
Повний текст джерелаManjunatha, G., and H. C. Chittappa. "Bearing Fault Classification using Empirical Mode Decomposition and Machine Learning Approach." Journal of Mines, Metals and Fuels 70, no. 4 (June 20, 2022): 214. http://dx.doi.org/10.18311/jmmf/2022/30060.
Повний текст джерелаSun, J., Gang Yu, and Chang Ning Li. "Bearing Fault Diagnosis Using Gaussian Mixture Models (GMMs)." Applied Mechanics and Materials 10-12 (December 2007): 553–57. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.553.
Повний текст джерелаChen, Xiaohui, Lei Xiao, Xinghui Zhang, and 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, no. 8 (July 27, 2014): 1491–99. http://dx.doi.org/10.1177/0954406214544727.
Повний текст джерелаShi, Yuan Cheng, Yong Ying Jiang, Hai Feng Gao, and Jia Wei Xiang. "A Modified EEMD Decomposition for the Detection of Rolling Bearing Faults." Applied Mechanics and Materials 548-549 (April 2014): 369–73. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.369.
Повний текст джерелаTian, Jing, Yan-Ting Ai, Cheng-Wei Fei, Feng-Ling Zhang, and 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, no. 8 (January 29, 2019): 1436–46. http://dx.doi.org/10.1177/1077546318824927.
Повний текст джерелаDu, Jianxi, Lingli Cui, Jianyu Zhang, Jin Li, and Jinfeng Huang. "The Method of Quantitative Trend Diagnosis of Rolling Bearing Fault Based on Protrugram and Lempel–Ziv." Shock and Vibration 2018 (November 1, 2018): 1–8. http://dx.doi.org/10.1155/2018/4303109.
Повний текст джерелаJamil, Mohd Atif, and Sidra Khanam. "Fault Classification of Rolling Element Bearing in Machine Learning Domain." International Journal of Acoustics and Vibration 27, no. 2 (June 30, 2022): 77–90. http://dx.doi.org/10.20855/ijav.2022.27.21829.
Повний текст джерелаLiu, Jing, Yimin Shao, and 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, no. 4 (February 22, 2017): 670–83. http://dx.doi.org/10.1177/1464419317695171.
Повний текст джерелаGe, Mingtao, Jie Wang, Yicun Xu, Fangfang Zhang, Ke Bai, and Xiangyang Ren. "Rolling Bearing Fault Diagnosis Based on EWT Sub-Modal Hypothesis Test and Ambiguity Correlation Classification." Symmetry 10, no. 12 (December 7, 2018): 730. http://dx.doi.org/10.3390/sym10120730.
Повний текст джерелаShen, Changqing, Qingbo He, Fanrang Kong, and 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, no. 6 (September 25, 2012): 1362–70. http://dx.doi.org/10.1177/0954406212460628.
Повний текст джерелаTang, Guiji, Bin Pang, Tian Tian, and Chong Zhou. "Fault Diagnosis of Rolling Bearings Based on Improved Fast Spectral Correlation and Optimized Random Forest." Applied Sciences 8, no. 10 (October 10, 2018): 1859. http://dx.doi.org/10.3390/app8101859.
Повний текст джерелаZhang, Junhong, Xin Lu, Jiewei Lin, Liang Ma, and 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.
Повний текст джерелаKumar, Prashant, Prince Kumar, Ananda Shankar Hati, and Heung Soo Kim. "Deep Transfer Learning Framework for Bearing Fault Detection in Motors." Mathematics 10, no. 24 (December 9, 2022): 4683. http://dx.doi.org/10.3390/math10244683.
Повний текст джерелаAlShalalfeh, Ashraf, and Laith Shalalfeh. "Bearing Fault Diagnosis Approach under Data Quality Issues." Applied Sciences 11, no. 7 (April 6, 2021): 3289. http://dx.doi.org/10.3390/app11073289.
Повний текст джерелаStack, J. R., T. G. Habetler, and R. G. Harley. "Fault-signature modeling and detection of inner-race bearing faults." IEEE Transactions on Industry Applications 42, no. 1 (January 2006): 61–68. http://dx.doi.org/10.1109/tia.2005.861365.
Повний текст джерелаAnbu, Thangavelu, and Ashok. "Fuzzy C-Means Based Clustering and Rule Formation Approach for Classification of Bearing Faults Using Discrete Wavelet Transform." Computation 7, no. 4 (September 23, 2019): 54. http://dx.doi.org/10.3390/computation7040054.
Повний текст джерелаGu, Xiaohui, Shaopu Yang, Yongqiang Liu, Feiyue Deng, and 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, no. 10 (May 22, 2017): 1786–801. http://dx.doi.org/10.1177/0954406217710673.
Повний текст джерелаBi, Guo, Jin Chen, Jun He, Fuchang Zhou, and Gui Cai Zhang. "Application of Degree of Cyclostationarity in Rolling Element Bearing Diagnosis." Key Engineering Materials 293-294 (September 2005): 347–54. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.347.
Повний текст джерелаTian, Jing, Yanting Ai, Chengwei Fei, Ming Zhao, Fengling Zhang, and Zhi Wang. "Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method." Shock and Vibration 2018 (August 29, 2018): 1–8. http://dx.doi.org/10.1155/2018/7546128.
Повний текст джерелаGong, Tingkai, Xiaohui Yuan, Xu Wang, Yanbin Yuan, and 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, no. 1 (September 11, 2019): 116–28. http://dx.doi.org/10.1177/1748006x19869114.
Повний текст джерелаChen, Zhaowen, Ning Gao, Wei Sun, Qiong Chen, Fengying Yan, Xinyu Zhang, Maria Iftikhar, Shiwei Liu, and 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.
Повний текст джерелаLuo, Wei, Changfeng Yan, Junbao Yang, Yaofeng Liu, and 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, no. 1 (November 1, 2021): 012006. http://dx.doi.org/10.1088/1757-899x/1207/1/012006.
Повний текст джерелаAo, HungLinh, Junsheng Cheng, Kenli Li, and 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.
Повний текст джерелаWang, Dong Yun, Wen Zhi Zhang, Wei Ping Lu, and J. W. Du. "Application of Wavelet Packet Transform for Detection of Ball Bearing Race Fault." Materials Science Forum 626-627 (August 2009): 511–16. http://dx.doi.org/10.4028/www.scientific.net/msf.626-627.511.
Повний текст джерелаMohammed, Jawad, and Jaber Abdulhady. "Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart." FME Transactions 49, no. 3 (2021): 684–95. http://dx.doi.org/10.5937/fme2103684m.
Повний текст джерелаUsgame Sandoval, Hector M., Camilo A. Pedraza Ramírez, and Jabid Quiroga. "Acoustic emission-based early fault detection in tapered roller bearings." Ingeniería e Investigación 33, no. 3 (September 1, 2013): 5–10. http://dx.doi.org/10.15446/ing.investig.v33n3.41032.
Повний текст джерелаTyagi, Sunil, and 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, no. 4 (May 22, 2017): 305–17. http://dx.doi.org/10.1016/j.jcde.2017.05.002.
Повний текст джерелаGuo, Yu Jie, Jing Yu Liu, Jie Li, Zhan Hui Liu, and 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 (January 2013): 856–64. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.856.
Повний текст джерелаDu, Wenliao, Zhiyang Wang, Xiaoyun Gong, Liangwen Wang, and 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.
Повний текст джерелаBuzzoni, Marco, Elia Soave, Gianluca D’Elia, Emiliano Mucchi, and 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 (December 16, 2018): 1–13. http://dx.doi.org/10.1155/2018/5384358.
Повний текст джерелаAn, Xueli, and 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, no. 17 (April 4, 2016): 3228–37. http://dx.doi.org/10.1177/0954406216642478.
Повний текст джерелаJiang, Fan, Zhencai Zhu, Wei Li, Bo Wu, Zhe Tong, and Mingquan Qiu. "Feature Extraction Strategy with Improved Permutation Entropy and Its Application in Fault Diagnosis of Bearings." Shock and Vibration 2018 (September 4, 2018): 1–12. http://dx.doi.org/10.1155/2018/1063645.
Повний текст джерелаIrfan, 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, no. 3 (March 2022): 168781322210891. http://dx.doi.org/10.1177/16878132221089170.
Повний текст джерелаLi, Meijiao, Huaqing Wang, Gang Tang, Hongfang Yuan, and Yang Yang. "An Improved Method Based on CEEMD for Fault Diagnosis of Rolling Bearing." Advances in Mechanical Engineering 6 (January 1, 2014): 676205. http://dx.doi.org/10.1155/2014/676205.
Повний текст джерелаAn, Xueli, and 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, no. 7 (February 2, 2016): 1000–1006. http://dx.doi.org/10.1177/0142331215626247.
Повний текст джерелаLi, Hui. "Local Mean Decomposition Based Bearing Fault Detection." Advanced Materials Research 490-495 (March 2012): 360–64. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.360.
Повний текст джерелаSaha, Dip Kumar, Md Emdadul Hoque, and Hamed Badihi. "Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach." Sensors 22, no. 3 (January 29, 2022): 1073. http://dx.doi.org/10.3390/s22031073.
Повний текст джерелаKe, Wei, Yong Xiang Zhang, and Lin Li. "Cyclic Spectrum Analysis on Rolling-Element Bearing with Inner-Race Point Defect." Advanced Materials Research 291-294 (July 2011): 1469–73. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.1469.
Повний текст джерелаHamadache, Moussa, Dongik Lee, Emiliano Mucchi, and Giorgio Dalpiaz. "Vibration-Based Bearing Fault Detection and Diagnosis via Image Recognition Technique Under Constant and Variable Speed Conditions." Applied Sciences 8, no. 8 (August 17, 2018): 1392. http://dx.doi.org/10.3390/app8081392.
Повний текст джерелаCui, Du, Yang, Xu, and Song. "Compound Faults Feature Extraction for Rolling Bearings Based on Parallel Dual-Q-Factors and the Improved Maximum Correlated Kurtosis Deconvolution." Applied Sciences 9, no. 8 (April 23, 2019): 1681. http://dx.doi.org/10.3390/app9081681.
Повний текст джерелаEl Morsy, Mohamed, and Gabriela Achtenova. "DETERMINATION OF ROLLER BEARING INNER RACE DEFECT BASED ON VIBRATION SIGNAL." Volume 24, No 3, September 2019 24, no. 3 (September 2019): 467–75. http://dx.doi.org/10.20855/ijav.2019.24.31291.
Повний текст джерелаChen, Lihai, Ao Tan, Lixiu Yang, Xiaoxu Pang, and Ming Qiu. "Defect Size Evaluation of Cylindrical Roller Bearings with Compound Faults on the Inner and Outer Races." Mathematical Problems in Engineering 2022 (September 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/6070822.
Повний текст джерелаYuan, Xiaoqing, Naqash Azeem, Azka Khalid, and Jahanzeb Jabbar. "Vibration Energy at Damage-Based Statistical Approach to Detect Multiple Damages in Roller Bearings." Applied Sciences 12, no. 17 (August 26, 2022): 8541. http://dx.doi.org/10.3390/app12178541.
Повний текст джерелаGelman, Len, and Gabrijel Persin. "Novel Fault Diagnosis of Bearings and Gearboxes Based on Simultaneous Processing of Spectral Kurtoses." Applied Sciences 12, no. 19 (October 4, 2022): 9970. http://dx.doi.org/10.3390/app12199970.
Повний текст джерелаFeng, Zhi Peng, Jin Zhang, Ru Jiang Hao, Fu Lei Chu, and Xue Jun Li. "Time-Wavelet Energy Spectral Analysis for Fault Diagnosis of Rolling Element Bearings." Applied Mechanics and Materials 34-35 (October 2010): 655–60. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.655.
Повний текст джерелаSuthar, Venish, Vinay Vakharia, Vivek K. Patel, and Milind Shah. "Detection of Compound Faults in Ball Bearings Using Multiscale-SinGAN, Heat Transfer Search Optimization, and Extreme Learning Machine." Machines 11, no. 1 (December 26, 2022): 29. http://dx.doi.org/10.3390/machines11010029.
Повний текст джерелаJie, Bian, Chang Qing Huo, and Jing Jing Yu. "Fault Feature Detection of Rolling Bearing Based on LMD and Third-Order Cumulant Diagonal Slice Spectrum." Applied Mechanics and Materials 851 (August 2016): 333–39. http://dx.doi.org/10.4028/www.scientific.net/amm.851.333.
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