Intelligent Diagnosis and Maintenance

In this topical collection (17 articles)

1. Research Article

   Radial electromagnetic type unbalance vibration self-recovery regulation system for high-end grinding machine spindles

   Xin Pan, Haoyu Zhang, Jinji Gao, Congcong Xu… Article:47

   Download PDF (1162KB)

2. Research Article

   Non-convex sparse optimization-based impact force identification with limited vibration measurements

   Lin Chen, Yanan Wang, Baijie Qiao, Junjiang Liu… Article:46

   Download PDF (1738KB)

3. Research Article

   Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

   Qun Chao, Haohan Gao, Jianfeng Tao, Chengliang Liu… Article:36

   Download PDF (5768KB)

4. Research Article

   Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

   Yuan Yin, Weifeng Huang, Decai Li, Qiang He… Article:33

   Download PDF (3259KB)

5. Research Article

   Digital twin-assisted gearbox dynamic model updating toward fault diagnosis

   Jingyan Xia, Ruyi Huang, Yixiao Liao, Jipu Li… Article:32

   Download PDF (2928KB)

6. Research Article

   A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

   Shuhui Wang, Yaguo Lei, Na Lu, Xiang Li, Bin Yang Article:20

   Download PDF (4304KB)

7. Research Article

   A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

   Long Wen, You Wang, Xinyu Li Article:17

   Download PDF (1550KB)

8. Research Article

   Full-field dynamic strain reconstruction of an aero-engine blade from limited displacement responses

   Chunyan Ao, Baijie Qiao, Kai Zhou, Lei Chen… Article:15

   Download PDF (11827KB)

9. Research Article

   Mesh relationship modeling and dynamic characteristic analysis of external spur gears with gear wear

   Zhixian Shen, Laihao Yang, Baijie Qiao, Wei Luo… Article:9

   Download PDF (7736KB)

10. Research Article

    Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

    Xingxing Jiang, Demin Peng, Jianfeng Guo, Jie Liu… Article:9

    Download PDF (7373KB)

11. Research Article

    Nonlinear dynamic behavior of rotating blade with breathing crack

    Laihao Yang, Zhu Mao, Shuming Wu, Xuefeng Chen… Pages 196-220

    Download PDF (5544KB)

12. Review Article

    Basic research on machinery fault diagnostics: Past, present, and future trends

    Xuefeng Chen, Shibin Wang, Baijie Qiao, Qiang Chen Pages 264-291

    Download PDF (902KB)

13. Research Article

    Non-stationary signal analysis based on general parameterized time–frequency transform and its application in the feature extraction of a rotary machine

    Peng Zhou, Zhike Peng, Shiqian Chen, Yang Yang… Pages 292-300

    Download PDF (447KB)

14. Research Article

    An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

    Yanfeng Peng, Junsheng Cheng, Yanfei Liu, Xuejun Li… Pages 301-310

    Download PDF (462KB)

15. Research Article

    Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

    Xin Zhang, Tao Huang, Bo Wu, Youmin Hu, Shuai Huang… Pages 340-352

    Download PDF (2340KB)

16. Research Article

    Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault diagnosis of bearings

    Xu Wang, Hongyang Gu, Tianyang Wang, Wei Zhang… Pages 814-828

    Download PDF (3026KB)

17. Research Article

    Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

    Jie Liu, Kaibo Zhou, Chaoying Yang, Guoliang Lu Pages 829-839

    Download PDF (2802KB)