Author/Creator: Peng, Weiwen - British Library Electronic Legal Deposit Catalogue-Journal Issues and Articles Search Results

Author/Creator Peng, Weiwen

1. A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing. (October 2021)

Authors:: Huang, Cheng-Geng; Huang, Hong-Zhong; Li, Yan-Feng; Peng, Weiwen
Journal:: Journal of manufacturing systems
Issue:: Volume 61(2021)
Page Start:: 757
Record Type:: Journal Article
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2. A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing. (October 2021)

Authors:: Huang, Cheng-Geng; Huang, Hong-Zhong; Li, Yan-Feng; Peng, Weiwen
Journal:: Journal of manufacturing systems
Issue:: Volume 61(2021)
Page Start:: 757
Record Type:: Journal Article
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3. Alleviation of Fufang Fanshiliu decoction on type II diabetes mellitus by reducing insulin resistance: A comprehensive network prediction and experimental validation. (10th August 2022)

Authors:: Dai, Weibo; Chen, Chang; Dong, Gengting; Li, Guangru; Peng, Weiwen; Liu, Xin; Yang, Jing; Li, Leyu; Xu, Ruiyan; Hu, Xianjing
Journal:: Journal of ethnopharmacology
Issue:: Volume 294(2022)
Page Start:
Record Type:: Journal Article
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4. Bayesian deep-learning for RUL prediction: An active learning perspective. (December 2022)

Authors:: Zhu, Rong; Chen, Yuan; Peng, Weiwen; Ye, Zhi-Sheng
Journal:: Reliability engineering & system safety
Issue:: Volume 228(2022)
Page Start:
Record Type:: Journal Article
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5. Bayesian information fusion for degradation analysis of deteriorating products with individual heterogeneity. (August 2019)

Authors:: Guo, Junyu; Huang, Hong-Zhong; Peng, Weiwen; Zhou, Jie
Journal:: Proceedings of the Institution of Mechanical Engineers
Issue:: Volume 233:Number 4(2019:Aug.)
Page Start:: 615
Record Type:: Journal Article
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6. Bayesian information fusion method for reliability analysis with failure‐time data and degradation data. (6th January 2022)

Authors:: Guo, Junyu; Li, Yan‐Feng; Peng, Weiwen; Huang, Hong‐Zhong
Journal:: Quality and reliability engineering international
Issue:: Volume 38:Number 4(2022)
Page Start:: 1944
Record Type:: Journal Article
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7. Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data. (15th January 2023)

Authors:: Zhu, Rong; Peng, Weiwen; Wang, Dong; Huang, Cheng-Geng
Journal:: Mechanical systems and signal processing
Issue:: Volume 183(2023)
Page Start:
Record Type:: Journal Article
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8. Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks. (July 2018)

Authors:: Zhu, Shun-Peng; Liu, Qiang; Peng, Weiwen; Zhang, Xian-Cheng
Journal:: International journal of mechanical sciences
Issue:: Volume 142/143(2018)
Page Start:: 502
Record Type:: Journal Article
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9. Data‐Driven–Based Internal Temperature Estimation for Lithium‐Ion Battery Under Variant State‐of‐Charge via Electrochemical Impedance Spectroscopy. Issue 3 (17th January 2022)

Authors:: Ouyang, Konglei; Fan, Yuqian; Yazdi, Mohammad; Peng, Weiwen
Journal:: Energy technology
Issue:: Volume 10:Issue 3(2022)
Page Start:: n/a
Record Type:: Journal Article
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10. Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives. (8th August 2022)

Authors:: Ding, Yi; Zhu, Rong; Peng, Weiwen; Xie, Min
Journal:: Quality and reliability engineering international
Issue:: Volume 38:Number 7(2022)
Page Start:: 3844
Record Type:: Journal Article
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