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1	Material Type: Article	Tool remaining useful life prediction method based on LSTM under variable working conditions International journal of advanced manufacturing technology, 2019-10, Vol.104 (9-12), p.4715-4726 [Peer Reviewed Journal] Springer-Verlag London Ltd., part of Springer Nature 2019 ;The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2019). All Rights Reserved. ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-019-04349-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples IEEE access, 2019, Vol.7, p.115368-115377 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2936243 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Dynamometer Cards with Transfer Learning and SVM Sensors (Basel, Switzerland), 2020-10, Vol.20 (19), p.5659 [Peer Reviewed Journal] 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20195659 ;PMID: 33022966 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Control of imperfect dynamical systems Nonlinear dynamics, 2019-12, Vol.98 (4), p.2989-2999 [Peer Reviewed Journal] Springer Nature B.V. 2019 ;Nonlinear Dynamics is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0924-090X ;EISSN: 1573-269X ;DOI: 10.1007/s11071-019-05077-4 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	A Complement Method for Magnetic Data Based on TCN-SE Model Sensors (Basel, Switzerland), 2022-10, Vol.22 (21), p.8277 [Peer Reviewed Journal] COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22218277 ;PMID: 36365973 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Milling cutter wear prediction method under variable working conditions based on LRCN International journal of advanced manufacturing technology, 2022-07, Vol.121 (3-4), p.2647-2661 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-022-09416-5 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Numerical Model Driving Multi-Domain Information Transfer Method for Bearing Fault Diagnosis Sensors (Basel, Switzerland), 2022-12, Vol.22 (24), p.9759 [Peer Reviewed Journal] COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22249759 ;PMID: 36560130 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	An AVMD-DBN-ELM Model for Bearing Fault Diagnosis Sensors (Basel, Switzerland), 2022-12, Vol.22 (23), p.9369 [Peer Reviewed Journal] COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22239369 ;PMID: 36502070 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Milling Tool Wear Prediction Method Based on Deep Learning Under Variable Working Conditions IEEE access, 2020, Vol.8, p.140726-140735 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3010378 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions IEEE access, 2017, Vol.5, p.14347-14357 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2720965 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	CNN-GRU network-based force prediction approach for variable working condition milling clamping points of deformable parts International journal of advanced manufacturing technology, 2022-04, Vol.119 (11-12), p.7843-7863 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-021-08520-2 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning IEEE access, 2019, Vol.7, p.110895-110904 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2934233 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Weighted K-NN Classification Method of Bearings Fault Diagnosis With Multi-Dimensional Sensitive Features IEEE access, 2021, Vol.9, p.45428-45440 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3066489 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Bearing State Recognition Method Based on Transfer Learning Under Different Working Conditions Sensors (Basel, Switzerland), 2019-12, Vol.20 (1), p.234 [Peer Reviewed Journal] 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20010234 ;PMID: 31906150 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1685 [Peer Reviewed Journal] 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20061685 ;PMID: 32197349 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Studies of NO2 Gas-Sensing Characteristics of a Novel Room-Temperature Surface-Photovoltage Gas Sensor Device Sensors (Basel, Switzerland), 2020-01, Vol.20 (2), p.408 [Peer Reviewed Journal] 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20020408 ;PMID: 31940752 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Triplet Loss Guided Adversarial Domain Adaptation for Bearing Fault Diagnosis Sensors (Basel, Switzerland), 2020-01, Vol.20 (1), p.320 [Peer Reviewed Journal] 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20010320 ;PMID: 31935949 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Critical review of the role of PPE in the prevention of risks related to agricultural pesticide use Safety science, 2020-03, Vol.123 [Peer Reviewed Journal] Attribution - NonCommercial - NoDerivatives ;ISSN: 0925-7535 ;EISSN: 1879-1042 ;DOI: 10.1016/j.ssci.2019.104527 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	New domain adaptation method in shallow and deep layers of the CNN for bearing fault diagnosis under different working conditions International journal of advanced manufacturing technology, 2023-02, Vol.124 (11-12), p.3701-3712 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-021-07385-9 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Influence of Some Key Parameters on the Efficiency of Flocculation–Solidification–Filter Press Combined Method for Sustainable Treatment of Waste Mud Slurry Sustainability, 2023-11, Vol.15 (21), p.15658 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su152115658 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 3,485 for All Library Resources

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2936243 ;CODEN: IAECCG

Springer Nature B.V. 2019 ;Nonlinear Dynamics is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0924-090X ;EISSN: 1573-269X ;DOI: 10.1007/s11071-019-05077-4

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-022-09416-5

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3010378 ;CODEN: IAECCG

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2720965 ;CODEN: IAECCG

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-021-08520-2

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2934233 ;CODEN: IAECCG

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3066489 ;CODEN: IAECCG

Attribution - NonCommercial - NoDerivatives ;ISSN: 0925-7535 ;EISSN: 1879-1042 ;DOI: 10.1016/j.ssci.2019.104527

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-021-07385-9

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