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Статті в журналах з теми "Inner race bearing fault"
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 джерелаДисертації з теми "Inner race bearing fault"
Spagnol, Marco. "Maintenance of electrical machines: Instantaneous Angular Speed analysis." Doctoral thesis, Università degli studi di Trieste, 2015. http://hdl.handle.net/10077/11102.
Повний текст джерелаThis research is focused on the condition monitoring of electrical machines and its long term purpose is to monitor electrical and mechanical faults at the same time, in non-stationary conditions (variable load and speed), with a single piece of hardware. The Instantaneous Angular Speed (IAS) measurement of an electrical machine is proposed and analysed in order to detect the fault development inside it. Chapter 1 introduces some basic principles about the maintenance of an electrical machine. Machine unscheduled downtimes are frequently caused by bearing faults, and rotor/stator faults. Monitoring systems are needed when the machine is very important for the plant (cost, safety). In this chapter, the electrical machine’s behaviour is also examined. Induction electrical machines have been chosen for this research. A review of the excitation frequencies is reported in the chapter. In the last section, characteristic fault frequencies (from mechanical and electrical sources) are collected. Chapter 2 presents the IAS measurement and its signal processing. The IAS is the measurement of the shaft rotating speed in order to visualize what’s happening during a single or in multiple turns. There are many measurement methods which are based either analogical to digital conversion or which use counters. Analogical to digital methods use a standard data acquisition board. Counter methods have to use specific hardware that is more expensive, but with less data to store. In this research, the counter method is used, combined with the Elapsed Time (ET) counting technique. Chapter 3 describes the encoder system. Its output signal is acquired with an oscilloscope and with the counter board. The signal’s differences are highlighted. In this chapter, the measurement’s source of errors are listed: the encoder’s geometrical error, the counter’s quantization error, the clock stability and the general electrical noise. Chapter 4 collects all the experimental tests done during the PhD research. Three experimental test rigs are shown and two measurements at Nidec ASI S.p.A. are reported. Note that the experimental test rigs were designed and built at the Università degli Studi di Trieste during the three years of the PhD. Experimental Test Rig 1 (ETR1) is used to understand the electrical motor’s behaviour with varying speed, the difference between the IAS and the speed acquired with the Torsional Laser Vibrometer, the difference between the IAS and the acceleration signal measured with an accelerometer located on the motor’s stator, the effect of the unbalance in the IAS measurement. Experimental Test Rig 2 (ETR2) allows to examine the load effect on the IAS measurement, the magneto-motive force harmonics, the slip and the rotor effects. Experimental Test Rig 3 (ETR3) is designed in order to detect the Inner Race Bearing Fault (Ball Pass Frequency Inner - BPFI) with varying load. The acceleration, the voltage and the current are compared with the Instantaneous Angular Speed. The motor is also tested with an unbalanced power supply. The two measurements at Nidec ASI S.p.A show how the IAS measurement could be implemented in an industrial machine larger than the one tested in the laboratory. This research presents the pros and cons of the IAS measurement, highlighting the capability of detecting BPFI bearing fault, feeling the load variations owing to the brake system (a synchronous generator), measuring the Fundamental Train Frequency of an healthy bearing, detecting unbalance in the rotor and other special features. The author would like to thank the Fondo Sociale Europeo, the Regione Friuli Venezia Giulia and Nidec ASI S.p.A (an electrical motor company) for the sponsorship and the collaboration during the three PhD years covered by the SHARM project ”Manutenzione Preventiva Integrata”.
Questo studio è focalizzato al monitoraggio dello stato di salute delle macchine elettriche con l'obbiettivo finale di monitorare danni meccanici ed elettrici, in condizioni non stazionarie (carico e velocità variabili), con un singolo sistema hardware. Viene quindi proposta ed analizzata la misura della Velocità Angolare Istantanea (Instantaneous Angular Speed - IAS) di una macchina elettrica allo scopo di prevedere l'insorgere di guasti al suo interno. Il Capitolo 1 introduce i principi base relativi alla manutenzione di macchine elettriche. Di frequente, le fermate non programmate sono conseguenti a danni su cuscinetti e su rotore/statore. I sistemi di monitoraggio sono indispensabili quando la macchina è molto importante nel contesto dell'impianto, considerazione esaminata sia dal punto di vista del costo che della sicurezza. In questo capitolo, viene analizzato anche il funzionamento della macchina elettrica. Dopo un'attenta valutazione, per lo sviluppo di questa ricerca sono state selezionate le macchine ad induzione asincrone. Nel capitolo è riportata anche un'analisi bibliografica sulle frequenze caratteristiche delle forzanti elettromagnetiche presenti. Nell'ultima sezione vengono elencate le frequenze tipiche dei danni rilevabili in misure di tipo vibrazionale ed elettrico. Il Capitolo 2 presenta la misura IAS. Questa rappresenta la misurazione della velocità di rotazione dell'albero e viene analizzata con accuratezza, individuando la relazione tra velocità di rotazione e le caratteristiche dell'encoder; inoltre vengono descritti i vari processamenti del segnale. Tale sistema permette di visualizzare ciò che sta accadendo alla macchina durante il suo funzionamento, in una o più rotazioni. Esistono metodi di misura basati o sulla conversione analogico-digitale o che prevedono l’impiego di contatori. I primi si servono di una scheda di acquisizione dati standard, mentre i secondi richiedono l'utilizzo di un hardware specifico, che alle volte può risultare più costoso, ma permette di acquisire i dati occupando una quantità inferiore di memoria. In questa tesi si è scelto di utilizzare un contatore per eseguire la misura IAS, sfruttando il conteggio Elapsed Time (ET). Il Capitolo 3 descrive l'encoder. Il segnale in uscita dal dispositivo viene acquisito con una scheda contatore e con un oscilloscopio in modo da confrontare ed analizzare le differenze presenti. In questo capitolo vengono elencate le tipologie di errore presenti nel sistema encoder: l'errore geometrico, l'errore di quantizzazione, l'errore dovuto alla stabilità del clock interno e l'errore dovuto a fonti esterni di rumore elettrico. Il Capitolo 4 raccoglie tutti i test sperimentali condotti durante il dottorato. Sono stati progettati e costruiti tre setup allo scopo di evidenziare particolari aspetti e problematiche; sono riportate anche due misure eseguite presso la sala prove dell'azienda Nidec ASI S.p.A. Il setup Experimental Test Rig 1 (ETR1) è stato utilizzato per conseguire le seguenti finalità: capire il funzionamento del motore elettrico con velocità variabile, analizzare la differenza della velocità acquisita con un torsiometro laser ed una scheda contatore, confrontare una misura vibrazionale (accelerometro posizionato sullo statore del motore) e la misura IAS, analizzare l'effetto dello sbilanciamento sulla misura IAS. Il setup Experimental Test Rig 2 (ETR2) permette di esaminare l'effetto del carico sulla misura IAS, le armoniche della forza elettromotrice, l'effetto dello slip e del rotore. Il setup Experimental Test Rig 3 (ETR3) è progettato in modo da evidenziare un difetto sulla guida interna di un cuscinetto, considerando anche un carico variabile. L'accelerazione, il voltaggio e la corrente sono confrontate con la Velocità Angolare Istantanea. Il motore viene testato anche applicando una tensione di alimentazione sbilanciata. Le due misure rilevate in Nidec ASI S.p.A dimostrano che la misura IAS può essere implementata in macchine industriali di grandi dimensioni e non solo nei setup di laboratorio. Questa ricerca espone gli aspetti positivi e negativi della misura IAS, evidenziando le capacità di individuare un danno sulla guida interna di un cuscinetto, captare le variazioni di carico prodotte dal freno (un generatore sincrono), misurare la Fundamental Train Frequency di un cuscinetto in buona salute, individuare uno sbilanciamento ed altre funzionalità. L'autore vuole ringraziare il Fondo Sociale Europeo, la Regione Friuli Venezia Giulia e l'azienda Nidec ASI S.p.A (produttore di macchine elettriche di medio-grandi dimensioni) per la sponsorizzazione e la collaborazione durante i tre anni di dottorato previsti dal progetto SHARM ”Manutenzione Preventiva Integrata”.
XXVII Ciclo
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Yu-LingChen and 陳聿翎. "Nonlinear Dynamic Analysis of Rotor-Ball Bearing System due to Surface Waviness of Inner and Outer Race." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/696653.
Повний текст джерелаКниги з теми "Inner race bearing fault"
Effect of speed and press fit on fatigue life of roller-bearing inner-race contact. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.
Знайти повний текст джерелаEffect of speed and press fit on fatigue life of roller-bearing inner-race contact. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.
Знайти повний текст джерелаЧастини книг з теми "Inner race bearing fault"
Ghods, Amirhossein, and Hong-Hee Lee. "Monte Carlo-Discrete Wavelet Transform for Diagnosis of Inner/Outer Race Bearings Faults in Induction Motors." In Intelligent Computing Theory, 630–36. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09333-8_68.
Повний текст джерелаLuo, Zeyu, Xian-Bo Wang, and Zhi-Xin Yang. "Fault Representations of Bearing Race Based on Grayscale Maps and CNN Networks." In Proceedings of IncoME-V & CEPE Net-2020, 61–68. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75793-9_7.
Повний текст джерелаBelkacemi, Bellal, and Salah Saad. "Inner and Outer Race Bearing Defects of Induction Motor Running at Low Speeds Signal Analysis with DWT." In Advances in Intelligent Systems and Computing, 975–83. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73689-7_92.
Повний текст джерелаChetverikov, B. S., N. N. Slavkova, A. N. Unkovskiy, and M. S. Babkin. "Modeling of the Projection Control Roundness Raceway of the Inner Ring Race of a Ball Bearing Support." In Lecture Notes in Civil Engineering, 131–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75182-1_18.
Повний текст джерелаGangavva C, J. Alamelu Mangai, and Mohit Bansal. "An Investigation of Ensemble Learning Algorithms for Fault Diagnosis of Roller Bearing." In Advances in Parallel Computing Algorithms, Tools and Paradigms. IOS Press, 2022. http://dx.doi.org/10.3233/apc220016.
Повний текст джерелаTrivedi, Shrey, D. V. Patel, V. M. Bhojawala, and K. M. Patel. "Identification of faulty condition of rolling element bearing with inner race defect using time and frequency domain parameters of vibration signature." In Technology Drivers: Engine for Growth, 223–29. CRC Press, 2018. http://dx.doi.org/10.1201/9780203713143-34.
Повний текст джерела"Industrial Case Histories – VSA Detected Inner and Outer Race Faults in Rolling Element Bearings in SCIMS." In Vibration Monitoring of Induction Motors, 103–26. Cambridge University Press, 2020. http://dx.doi.org/10.1017/9781108784887.007.
Повний текст джерелаGao, Shang, and Cuicui Du. "Multi-Channel IoT-Based Ensemble-Features Fault Diagnosis for Machine Condition Monitoring." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2020. http://dx.doi.org/10.3233/saem200037.
Повний текст джерелаFeng, Yuxiang, Jinyu Yao, Xiaohan Sun, and Cunqing Yuan. "Study on Lubrication Flow and Heat Transfer Characteristics of Under-Race Lubrication for High Speed Ball Bearing." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220022.
Повний текст джерелаТези доповідей конференцій з теми "Inner race bearing fault"
Stack, J. R., T. G. Habetler, and R. G. Harley. "Fault signature modeling and detection of inner race bearing faults." In International Electric Machines and Drives Conference. IEEE, 2005. http://dx.doi.org/10.1109/iemdc.2005.195734.
Повний текст джерелаTian, Jing, Yanting Ai, Ming Zhao, Chengwei Fei, and Fengling Zhang. "Fault Diagnosis Method for Inter-Shaft Bearings Based on Information Exergy and Random Forest." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-76101.
Повний текст джерелаMuruganatham, Bubathi, M. A. Sanjith, B. Krishna Kumar, S. A. V. Satya Murty, and P. Swaminathan. "Inner race bearing fault detection using Singular Spectrum Analysis." In 2010 IEEE International Conference on Communication Control and Computing Technologies (ICCCCT). IEEE, 2010. http://dx.doi.org/10.1109/icccct.2010.5670774.
Повний текст джерелаWang, Dong, Qiang Miao, Rui Sun, and Hong-Zhong Huang. "Bearing Fault Diagnosis Using Singular Value Decomposition and Hidden Markov Modeling." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86471.
Повний текст джерелаHaj Mohamad, T., C. A. Kitio Kwuimy, and C. Nataraj. "Discrimination of Multiple Faults in Bearings Using Density-Based Orthogonal Functions of the Time Response." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68375.
Повний текст джерелаHuang, Huan, Natalie Baddour, and Ming Liang. "Algorithm for Multiple Time-Frequency Curve Extraction From Time-Frequency Representation of Vibration Signals for Bearing Fault Diagnosis Under Time-Varying Speed Conditions." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67171.
Повний текст джерелаNakhaeinejad, Mohsen, Jaewon Choi, and Michael D. Bryant. "Nonlinear Mechanics of Rolling Contacts With Surface Defects." In STLE/ASME 2010 International Joint Tribology Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ijtc2010-41246.
Повний текст джерелаBhatnagar, Aashish, P. K. Kankar, Satish C. Sharma, and S. P. Harsha. "ANN Based Fault Classification of High Speed Ball Bearings." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87016.
Повний текст джерелаAbu-Mahfouz, Issam, and Amit Banerjee. "Bearing Fault Parameter Identification Under Varying Operating Conditions Using Vibration Signals and Evolutionary Algorithms." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-39124.
Повний текст джерелаWang, Fengli, and Hua Chen. "Degradation Feature Extraction of Rolling Bearings Based on Optimal Ensemble Empirical Mode Decomposition and Improved Composite Spectrum Analysis." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-75041.
Повний текст джерела