These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
116 related articles for article (PubMed ID: 29382120)
1. Cutting Pattern Identification for Coal Mining Shearer through a Swarm Intelligence-Based Variable Translation Wavelet Neural Network. Xu J; Wang Z; Tan C; Si L; Liu X Sensors (Basel); 2018 Jan; 18(2):. PubMed ID: 29382120 [TBL] [Abstract][Full Text] [Related]
2. A Cutting Pattern Recognition Method for Shearers Based on Improved Ensemble Empirical Mode Decomposition and a Probabilistic Neural Network. Xu J; Wang Z; Tan C; Si L; Liu X Sensors (Basel); 2015 Oct; 15(11):27721-37. PubMed ID: 26528985 [TBL] [Abstract][Full Text] [Related]
3. Identification of Shearer Cutting Patterns Using Vibration Signals Based on a Least Squares Support Vector Machine with an Improved Fruit Fly Optimization Algorithm. Si L; Wang Z; Liu X; Tan C; Liu Z; Xu J Sensors (Basel); 2016 Jan; 16(1):. PubMed ID: 26771615 [TBL] [Abstract][Full Text] [Related]
4. Cutting State Diagnosis for Shearer through the Vibration of Rocker Transmission Part with an Improved Probabilistic Neural Network. Si L; Wang Z; Liu X; Tan C; Zhang L Sensors (Basel); 2016 Apr; 16(4):. PubMed ID: 27058540 [TBL] [Abstract][Full Text] [Related]
5. Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. Si L; Wang Z; Liu X; Tan C; Xu J; Zheng K Sensors (Basel); 2015 Nov; 15(11):28772-95. PubMed ID: 26580620 [TBL] [Abstract][Full Text] [Related]
6. Analysis and construction of the coal and rock cutting state identification system in coal mine intelligent mining. Zhang M; Zhao L; Shi B Sci Rep; 2023 Mar; 13(1):3489. PubMed ID: 36859439 [TBL] [Abstract][Full Text] [Related]
7. A Novel Approach for Acoustic Signal Processing of a Drum Shearer Based on Improved Variational Mode Decomposition and Cluster Analysis. Li C; Peng T; Zhu Y Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32456034 [TBL] [Abstract][Full Text] [Related]
8. A robust cutting pattern recognition method for shearer based on Least Square Support Vector Machine equipped with Chaos Modified Particle Swarm Optimization and Online Correcting Strategy. Liu X; He S; Gu Y; Xu Z; Zhang Z; Wang W; Liu P ISA Trans; 2020 Apr; 99():199-209. PubMed ID: 31515091 [TBL] [Abstract][Full Text] [Related]
9. Coal falling trajectory and strength analysis of drum of shearer based on a bidirectional coupling method. Zhang M; Zhao L; Shi B Sci Rep; 2024 Apr; 14(1):9438. PubMed ID: 38658609 [TBL] [Abstract][Full Text] [Related]
10. A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm. Wang Z; Xu X; Si L; Ji R; Liu X; Tan C Comput Intell Neurosci; 2016; 2016():9674942. PubMed ID: 27123002 [TBL] [Abstract][Full Text] [Related]
11. An Initial Alignment Technology of Shearer Inertial Navigation Positioning Based on a Fruit Fly-Optimized Kalman Filter Algorithm. Wan M; Wang Z; Si L; Tan C; Wang H Comput Intell Neurosci; 2020; 2020():8876918. PubMed ID: 33110424 [TBL] [Abstract][Full Text] [Related]
12. Method of Motion Planning for Digital Twin Navigation and Cutting of Shearer. Miao B; Ge S; Li Y; Guo Y Sensors (Basel); 2024 Sep; 24(18):. PubMed ID: 39338623 [TBL] [Abstract][Full Text] [Related]
13. A PCA-EEMD-CNN-Attention-GRU-Encoder-Decoder Accurate Prediction Model for Key Parameters of Seawater Quality in Zhanjiang Bay. Xie Z; Li Z; Mo C; Wang J Materials (Basel); 2022 Jul; 15(15):. PubMed ID: 35955136 [TBL] [Abstract][Full Text] [Related]
14. Design of Digital Twin Cutting Experiment System for Shearer. Miao B; Li Y; Guo Y Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38794048 [TBL] [Abstract][Full Text] [Related]
15. Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks. Zeng W; Yuan J; Yuan C; Wang Q; Liu F; Wang Y Artif Intell Med; 2020 Jun; 106():101848. PubMed ID: 32593387 [TBL] [Abstract][Full Text] [Related]
16. Coal and Rock Hardness Identification Based on EEMD and Multi-Scale Permutation Entropy. Liu T; Lu C; Liu Q; Zha Y Entropy (Basel); 2021 Aug; 23(9):. PubMed ID: 34573737 [TBL] [Abstract][Full Text] [Related]
17. Lattice dynamical wavelet neural networks implemented using particle swarm optimization for spatio-temporal system identification. Wei HL; Billings SA; Zhao Y; Guo L IEEE Trans Neural Netw; 2009 Jan; 20(1):181-5. PubMed ID: 19129037 [TBL] [Abstract][Full Text] [Related]
18. Optimization scheme of wind energy prediction based on artificial intelligence. Zhang Y; Li R; Zhang J Environ Sci Pollut Res Int; 2021 Aug; 28(29):39966-39981. PubMed ID: 33763837 [TBL] [Abstract][Full Text] [Related]
19. An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis. Cheng Y; Wang Z; Chen B; Zhang W; Huang G ISA Trans; 2019 Aug; 91():218-234. PubMed ID: 30738582 [TBL] [Abstract][Full Text] [Related]
20. Signal extraction using complementary ensemble empirical mode in pipeline magnetic flux leakage nondestructive evaluation. Shi M; Zhao H; Huang Z; Liu Q Rev Sci Instrum; 2019 Jul; 90(7):075101. PubMed ID: 31370475 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]