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Original Articles

Dynamic Prognostic Prediction of Defect Propagation on Rolling Element Bearings

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Pages 385-392 | Published online: 25 Mar 2008

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Read on this site (3)

Constantine Tarawneh, Jennifer D. Lima, Nancy De Los Santos & Robert E. Jones. (2019) Prognostics Models for Railroad Tapered Roller Bearings with Spall Defects on Inner or Outer Rings. Tribology Transactions 62:5, pages 897-906.
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Ali Mahvash & Aouni A. Lakis. (2015) Application of Cyclic Spectral Analysis in Diagnosis of Bearing Faults in Complex Machinery. Tribology Transactions 58:6, pages 1151-1158.
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Lewis Rosado, NelsonH. Forster, KevinL. Thompson & JasonW. Cooke. (2009) Rolling Contact Fatigue Life and Spall Propagation of AISI M50, M50NiL, and AISI 52100, Part I: Experimental Results. Tribology Transactions 53:1, pages 29-41.
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Articles from other publishers (43)

Sameera Mufazzal, S. M. Muzakkir & Sidra Khanam. (2023) On the Importance of Modeling Ball Raceway Impact Force for Evaluating the Plastic Deformation at Spall Edge of Rolling Element Bearing: Theoretical Modeling. Journal of Vibration Engineering & Technologies.
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Souleymane Sow, Xavier Chiementin, Lanto Rasolofondraibe & Olivier Cousinard. 2023. Advances in Acoustics and Vibration IV. Advances in Acoustics and Vibration IV 162 170 .
Abdenour Soualhi, Bilal El Yousfi, Mourad Lamraoui & Kamal Medjaher. 2023. Advanced Computational Techniques for Renewable Energy Systems. Advanced Computational Techniques for Renewable Energy Systems 652 664 .
Yi Liu, Changyun Miao, Xianguo Li, Jianhua Ji & Dejun Meng. (2021) Research on the fault analysis method of belt conveyor idlers based on sound and thermal infrared image features. Measurement 186, pages 110177.
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Bingxin Yan, Xiaobing Ma, Guifa Huang & Yu Zhao. (2021) Two-stage physics-based Wiener process models for online RUL prediction in field vibration data. Mechanical Systems and Signal Processing 152, pages 107378.
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Artur Skoczylas, Paweł Stefaniak, Sergii Anufriiev & Bartosz Jachnik. (2021) Belt Conveyors Rollers Diagnostics Based on Acoustic Signal Collected Using Autonomous Legged Inspection Robot. Applied Sciences 11:5, pages 2299.
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Xin Xu, Qianhui Wu, Xiu Li & Biqing Huang. (2020) Dilated Convolution Neural Network for Remaining Useful Life Prediction. Journal of Computing and Information Science in Engineering 20:2.
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Jinjiang Wang, Yuanyuan Liang, Yinghao Zheng, Robert X. Gao & Fengli Zhang. (2020) An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples. Renewable Energy 145, pages 642-650.
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Jinjiang Wang, Laibin Zhang, Yinghao Zheng & Kebo Wang. (2019) Adaptive prognosis of centrifugal pump under variable operating conditions. Mechanical Systems and Signal Processing 131, pages 576-591.
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Xiaodong Wang, Feng Liu & Yaohua Chen. (2019) Application of Spatio-Temporal Attention Mechanism in Temperature Prediction of High-Speed Train Bogie. Application of Spatio-Temporal Attention Mechanism in Temperature Prediction of High-Speed Train Bogie.
Jinjiang Wang, Robert X. Gao, Zhuang Yuan, Zhaoyan Fan & Laibin Zhang. (2016) A joint particle filter and expectation maximization approach to machine condition prognosis. Journal of Intelligent Manufacturing 30:2, pages 605-621.
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Xiangwei Liu, Yusong Pang, Gabriel Lodewijks & Daijie He. (2018) Experimental research on condition monitoring of belt conveyor idlers. Measurement 127, pages 277-282.
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Jing Liu & Yimin Shao. (2017) An improved analytical model for a lubricated roller bearing including a localized defect with different edge shapes. Journal of Vibration and Control 24:17, pages 3894-3907.
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Insun Shin, Junmin Lee, Jun Young Lee, Kyusung Jung, Daeil Kwon, Byeng D. Youn, Hyun Soo Jang & Joo-Ho Choi. (2018) A Framework for Prognostics and Health Management Applications toward Smart Manufacturing Systems. International Journal of Precision Engineering and Manufacturing-Green Technology 5:4, pages 535-554.
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Zhihe Duan, Tonghai Wu, Shuaiwei Guo, Tao Shao, Reza Malekian & Zhixiong Li. (2018) Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review. The International Journal of Advanced Manufacturing Technology 96:1-4, pages 803-819.
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Jing Liu, Zhifeng Shi & Yimin Shao. (2017) A numerical investigation of the plastic deformation at the spall edge for a roller bearing. Engineering Failure Analysis 80, pages 263-271.
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Abdallah Chehade, Scott Bonk & Kaibo Liu. (2017) Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction. IEEE Transactions on Reliability 66:3, pages 939-949.
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Jodi Walsh, Imran Bashir, Joanne K. Garrett, Philipp R. Thies, Philippe Blondel & Lars Johanning. (2017) Monitoring the condition of Marine Renewable Energy Devices through underwater Acoustic Emissions: Case study of a Wave Energy Converter in Falmouth Bay, UK. Renewable Energy 102, pages 205-213.
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Mario A. Saucedo-Espinosa, Hugo Jair Escalante & Arturo Berrones. (2014) Detection of defective embedded bearings by sound analysis: a machine learning approach. Journal of Intelligent Manufacturing 28:2, pages 489-500.
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Adrian Cubillo, Suresh Perinpanayagam & Manuel Esperon-Miguez. (2016) A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery. Advances in Mechanical Engineering 8:8, pages 168781401666466.
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Urko Leturiondo, Oscar Salgado & Diego Galar. 2016. Current Trends in Reliability, Availability, Maintainability and Safety. Current Trends in Reliability, Availability, Maintainability and Safety 99 112 .
J. Walsh, I. Bashir, P. R. Thies, L. Johanning & Ph. Blondel. (2015) Acoustic emission health monitoring of marine renewables: Illustration with a wave energy converter in Falmouth Bay (UK). Acoustic emission health monitoring of marine renewables: Illustration with a wave energy converter in Falmouth Bay (UK).
Seyed A. Niknam, John E. Kobza & J. Wesley Hines. (2015) Operation and maintenance decision-making using prognostic information. Operation and maintenance decision-making using prognostic information.
Zhong Wang, Qian Xing, Luhua Fu & Hong Sun. (2015) Realtime vision-based surface defect inspection of steel balls. Transactions of Tianjin University 21:1, pages 76-82.
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Jing Liu & Yimin Shao. (2014) A new dynamic model for vibration analysis of a ball bearing due to a localized surface defect considering edge topographies. Nonlinear Dynamics 79:2, pages 1329-1351.
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Jong Won Park, Byung Oh Choi & Kyeong Keun Kim. (2013) Study on Accelerated Life Testing of Swing Reduction Gear Box for Hybrid Excavator. Transactions of the Korean Society of Mechanical Engineers A 37:11, pages 1407-1413.
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Wahyu Caesarendra, Buyung Kosasih, Kiet Tieu & Craig A. S. Moodie. (2013) An application of nonlinear feature extraction - A case study for low speed slewing bearing condition monitoring and prognosis. An application of nonlinear feature extraction - A case study for low speed slewing bearing condition monitoring and prognosis.
Jinjiang Wang & Robert X. Gao. (2013) Multiple model particle filtering for bearing life prognosis. Multiple model particle filtering for bearing life prognosis.
Prasanna Tamilselvan, Pingfeng Wang & Ramkumar Jayaraman. (2012) Health diagnostics with unexampled faulty states using a two-fold classification method. Health diagnostics with unexampled faulty states using a two-fold classification method.
Shichang Du, Jun Lv & Lifeng Xi. (2012) Degradation process prediction for rotational machinery based on hybrid intelligent model. Robotics and Computer-Integrated Manufacturing 28:2, pages 190-207.
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P. Tamilselvan, Yibin Wang & Pingfeng Wang. (2012) Deep Belief Network based state classification for structural health diagnosis. Deep Belief Network based state classification for structural health diagnosis.
H. Mehdigholi, H. Rafsanjani & Behzad Mehdi. (2011) Estimation of rolling bearing life with damage curve approach. Polish Maritime Research 18:3, pages 66-70.
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Jong-Won Park, Hyoung-Eui Kim, Jong-Ock Kim, Yang-Jin Sim & Won-Wook Jung. (2010) Experimental Study of the Effect of Shortening of Life of Tapered Roller Bearings when Subjected to Excessive Axial Pre-Load. Transactions of the Korean Society of Mechanical Engineers A 34:9, pages 1161-1166.
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J Halme & P Andersson. (2016) Rolling contact fatigue and wear fundamentals for rolling bearing diagnostics - state of the art. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 224:4, pages 377-393.
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N. Gebraeel & Jing Pan. (2008) Prognostic Degradation Models for Computing and Updating Residual Life Distributions in a Time-Varying Environment. IEEE Transactions on Reliability 57:4, pages 539-550.
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Nagi Z. Gebraeel & Mark A. Lawley. (2008) A Neural Network Degradation Model for Computing and Updating Residual Life Distributions. IEEE Transactions on Automation Science and Engineering 5:1, pages 154-163.
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Runqing Huang, Lifeng Xi, Xinglin Li, C. Richard Liu, Hai Qiu & Jay Lee. (2007) Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods. Mechanical Systems and Signal Processing 21:1, pages 193-207.
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Youngsik Choi & C. Richard Liu. (2007) Spall progression life model for rolling contact verified by finish hard machined surfaces. Wear 262:1-2, pages 24-35.
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N. Gebraeel. (2006) Sensory-Updated Residual Life Distributions for Components With Exponential Degradation Patterns. IEEE Transactions on Automation Science and Engineering 3:4, pages 382-393.
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Robert X. Gao, Ruqiang Yan, Shuangwen Sheng & Li Zhang. 2006. Condition Monitoring and Control for Intelligent Manufacturing. Condition Monitoring and Control for Intelligent Manufacturing 167 191 .
N. Gebraeel, M. Lawley, R. Liu & V. Parmeshwaran. (2004) Residual Life Predictions From Vibration-Based Degradation Signals: A Neural Network Approach. IEEE Transactions on Industrial Electronics 51:3, pages 694-700.
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Michael N. Kotzalas & Tedric A. Harris. (2001) Fatigue Failure Progression in Ball Bearings. Journal of Tribology 123:2, pages 238-242.
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R.S. Cowan & W.O. Winer. 2001. Fundamentals of Tribology and Bridging the Gap Between the Macro- and Micro/Nanoscales. Fundamentals of Tribology and Bridging the Gap Between the Macro- and Micro/Nanoscales 931 950 .

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