Research output per year
Research output per year
- 40 results
Search results
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2024
An ontology and rule-based method for human–robot collaborative disassembly planning in smart remanufacturing
Hu, Y., Liu, C., Zhang, M., Lu, Y., Jia, Y. & Xu, Y., Oct 2024, In: Robotics and Computer-Integrated Manufacturing. 89, 20 p., 102766.Research output: Contribution to journal › Article › peer-review
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A novel health indicator by dominant invariant subspace on Grassmann manifold for state of health assessment of lithium-ion battery
Zhang, Y., Li, Y.-F., Zhang, M. & Wang, H., Apr 2024, In: Engineering Applications of Artificial Intelligence. 130, 9 p., 107698.Research output: Contribution to journal › Article › peer-review
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Reliability enhancement of state of health assessment model of lithium-ion battery considering the uncertainty with quantile distribution of deep features
Zhang, Y., Zhang, M., Liu, C., Feng, Z. & Xu, Y., May 2024, In: Reliability Engineering and System Safety. 245, 110002.Research output: Contribution to journal › Article › peer-review
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2023
An Ontology-Based Product Modelling Method for Smart Remanufacturing
Hu, Y., Liu, C., Zhang, M., Lu, Y., Jia, Y. & Xu, Y., 28 Sept 2023, 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE, (CASE Proceedings).Research output: Chapter in Book/Published conference output › Conference publication
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A Novel Deep Model with Meta-learning for Rolling Bearing Few-shot Fault Diagnosis
Liang, X., Zhang, M., Feng, G., Xu, Y., Zhen, D. & Gu, F., 18 Apr 2023, In: Journal of Dynamics, Monitoring and Diagnostics. 2, 2, p. 102–114 22 p.Research output: Contribution to journal › Article › peer-review
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A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing
Hu, Y., Liu, C., Zhang, M., Jia, Y. & Xu, Y., 2 Feb 2023, In: Sensors. 23, 3, 28 p., 1652.Research output: Contribution to journal › Article › peer-review
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Application of Machine Learning Algorithms in Cold-Rolled Strip Steel Surface Defect Grading Systems
Li, T., He, A., Kong, L., Zhang, M., Liu, C., Ma, X. & Xu, Y., 16 Oct 2023, ICAC 2023 - 28th International Conference on Automation and Computing. IEEE, (ICAC 2023 - 28th International Conference on Automation and Computing).Research output: Chapter in Book/Published conference output › Conference publication
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Att-Sinkhorn: Multimodal Alignment with Sinkhorn-based Deep Attention Architecture
Ma, Q., Zhang, M., Tang, Y. & Huang, Z., 16 Oct 2023, ICAC 2023 - 28th International Conference on Automation and Computing. IEEE, (2023 28th International Conference on Automation and Computing (ICAC)).Research output: Chapter in Book/Published conference output › Conference publication
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Concatenation-Informer: Pre-Distilling and Concatenation Improve Efficiency and Accuracy
Yin, J., Chen, M., Zhang, C., Zhang, M., Xue, T. & Zhang, T., 16 Oct 2023, ICAC 2023 - 28th International Conference on Automation and Computing. IEEE, (2023 28th International Conference on Automation and Computing (ICAC)).Research output: Chapter in Book/Published conference output › Conference publication
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Data-driven Approach for Condition Assessment of a Diesel Engine Powered with Various Biodiesels
Zhang, M., Sharma, V., Jia, Y., Hossain, A. K. & Xu, Y., 11 Apr 2023, SAE Technical Papers, 2023-01-0422.Research output: Contribution to specialist publication or newspaper › Article
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Digital-Twin Enabled Online Remaining Useful Life Prediction of PEM Fuel Cell
Zhang, M., Awotwe, T., Liu, C., Amiri, A. & Xu, Y., 16 Oct 2023, ICAC 2023 - 28th International Conference on Automation and Computing. IEEE, (ICAC 2023 - 28th International Conference on Automation and Computing).Research output: Chapter in Book/Published conference output › Conference publication
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Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review
Liang, X., Zhang, M., Feng, G., Wang, D., Xu, Y. & Gu, F., 17 Oct 2023, In: Sustainability. 15, 20, 14975.Research output: Contribution to journal › Article › peer-review
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Meta-Learning Guided Few-Shot Learning Method for Gearbox Fault Diagnosis Under Limited Data Conditions
Zhang, M., Wang, D. & Xu, Y., 2023, Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering. Zhang, H., Feng, G., Wang, H., Gu, F. & Sinha, J. K. (eds.). Springer, p. 491-503 13 p. (Mechanisms and Machine Science; vol. 117).Research output: Chapter in Book/Published conference output › Conference publication
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Online Big-Data Monitoring and Assessment Framework for Internal Combustion Engine with Various Biofuels
Zhang, M., Sharma, V., Wang, Z., Jia, Y., Hossain, A. K. & Xu, Y., 1 Jun 2023, In: International Journal of Automotive Manufacturing and Materials. 2, 2, 1.Research output: Contribution to journal › Article › peer-review
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Ontology-Based Product Modeling for Disassembly Sequence Planning in Remanufacturing
Hu, Y., Liu, C., Zhang, M., Laili, Y., Jia, Y. & Xu, Y., 16 Oct 2023, ICAC 2023 - 28th International Conference on Automation and Computing. IEEE, (ICAC 2023 - 28th International Conference on Automation and Computing).Research output: Chapter in Book/Published conference output › Conference publication
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Semi-Supervised Deep Kernel Active Learning for Material Removal Rate Prediction in Chemical Mechanical Planarization
Lv, C., Huang, J., Zhang, M., Wang, H. & Zhang, T., May 2023, In: Sensors. 23, 9, 21 p., 4392.Research output: Contribution to journal › Article › peer-review
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Towards sustainable manufacturing by enabling optimum selection of life extension strategy for industrial equipment based on cost modelling
Amaitik, N., Zhang, M., Xu, Y., Thomson, G. A., Kolokas, N., Maisuradze, A., Peschl, M. & Tzovaras, D., Nov 2023, In: Journal of Remanufacturing. 13, 3, p. 263-282 20 p.Research output: Contribution to journal › Article › peer-review
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2022
A Conceptual Framework of Cyber-Physical Remanufacturing System
Hu, Y., Liu, C., Zhang, M., Jia, Y. & Xu, Y., 30 Aug 2022, 2022 8th International Conference on Nanomanufacturing & 4th AET Symposium on ACSM and Digital Manufacturing (Nanoman-AETS). IEEEResearch output: Chapter in Book/Published conference output › Conference publication
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A Distributional Perspective on Remaining Useful Life Prediction with Deep Learning and Quantile Regression
Zhang, M., Wang, D., Amaitik, N. & Xu, Y., 29 Sept 2022, In: IEEE Open Journal of Instrumentation and Measurement. 1, 13 p., 3500713.Research output: Contribution to journal › Article › peer-review
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A simulated annealing hyper-heuristic algorithm for process planning and scheduling in remanufacturing
Hu, Y., Zhang, M., Liu, C., Xu, Y., Wang, Z. & Jia, Y., 10 Oct 2022, 2022 27th International Conference on Automation and Computing (ICAC). IEEEResearch output: Chapter in Book/Published conference output › Conference publication
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Boosting Few-Shot Learning with Task-Adaptive Multi-level Mixed Supervision
Wang, D., Ma, Q., Zhang, M. & Zhang, T., 1 Jan 2022, Artificial Intelligence - 1st CAAI International Conference, CICAI 2021, Proceedings. Fang, L., Chen, Y., Zhai, G., Wang, J., Wang, R. & Dong, W. (eds.). Springer, p. 176-187 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13070 LNAI).Research output: Chapter in Book/Published conference output › Conference publication
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Cost Modelling to Support Optimum Selection of Life Extension Strategy for Industrial Equipment in Smart Manufacturing
Amaitik, N., Zhang, M., Wang, Z., Xu, Y., Thomson, G. A., Xiao, Y., Kolokas, N., Maisuradze, A., Garcia, O., Peschl, M. & Tzovaras, D., 24 Mar 2022, (E-pub ahead of print) In: Circular Economy and Sustainability.Research output: Contribution to journal › Article › peer-review
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Development of a Robotic Arm Control Platform for Ultrasonic Testing Inspection in Remanufacturing
Wang, Z., Zhang, M. & Xu, Y., 10 Oct 2022, 2022 27th International Conference on Automation and Computing (ICAC). IEEE, 6 p.Research output: Chapter in Book/Published conference output › Conference publication
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Dynamic Scheduling Method for Job-shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization
Zhang, M., Yang, L., Liu, C. & Xu, Y., 20 May 2022.Research output: Unpublished contribution to conference › Poster › peer-review
Open Access -
Dynamic Scheduling Method for Job-Shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization
Zhang, M., Lu, Y., Hu, Y., Amaitik, N. & Xu, Y., 25 Apr 2022, In: Sustainability. 14, 9, 5177.Research output: Contribution to journal › Article › peer-review
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Hybrid Gait Recognition Method Based on Phase Trajectory
Li, P., Xue, T., Zhang, T., Wang, H. & Zhang, M., 10 Oct 2022, 2022 27th International Conference on Automation and Computing (ICAC). IEEE, 6 p.Research output: Chapter in Book/Published conference output › Conference publication
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Predictive Maintenance for Remanufacturing Based on Hybrid-Driven Remaining Useful Life Prediction
Zhang, M., Amaitik, N., Wang, Z., Xu, Y., Maisuradze, A., Peschl, M. & Tzovaras, D., 1 Apr 2022, In: Applied Sciences. 12, 7, 3218.Research output: Contribution to journal › Article › peer-review
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Resonance Impedance Shaping Control of Hip Robotic Exoskeleton
Xue, T., Zhang, M., Yin, J., Zhang, M., Bai, O., Wang, Z. & Zhang, T., 6 Jan 2022, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 888-893 (2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)).Research output: Chapter in Book/Published conference output › Conference publication
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2021
A New Implementation of Digital Twins for Fault Diagnosis of Large Industrial Equipment
Zhang, M., Amaitik, N., Xu, Y., Rossini, R., Bosi, I. & Cedola, A. P., 15 Jun 2021, In: Journal of Robotics and Mechanical Engineering Research. 1, 1, 7 p.Research output: Contribution to journal › Article › peer-review
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Few shot Learning for Fault Diagnosis: Metric-based Meta-learning, Few-shot Learning, Feature Space, Fault Diagnosis, Limited Data Conditions
Zhang, M., 1 Feb 2021Research output: Non-textual form › Software
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Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions
Wang, D., Zhang, M., Xu, Y., Lu, W., Yang, J. & Zhang, T., 16 Jun 2021, In: Mechanical Systems and Signal Processing. 155, 15 p., 107510.Research output: Contribution to journal › Article › peer-review
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Remaining Useful Life Estimation for Turbofan Engine with Transformer-based Deep Architecture
Ma, Q., Zhang, M., Xu, Y., Song, J. & Zhang, T., 15 Nov 2021, 2021 26th International Conference on Automation and Computing (ICAC). IEEEResearch output: Chapter in Book/Published conference output › Conference publication
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Remanufacturing and Refurbishment of Large Industrial Equipment
Zhang, M. & Xu, Y., 6 Jul 2021.Research output: Unpublished contribution to conference › Poster
Open Access -
2020
Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration
Zhang, M., Wang, Y., Ma, X., Xia, L., Yang, J., Li, Z. & Li, X., 7 Dec 2020, Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020. Sun, M. & Zhang, H. (eds.). IEEE, p. 1165-1170 6 p. 9275169. (Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020).Research output: Chapter in Book/Published conference output › Conference publication
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2019
A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions
Zhang, M., Wang, D., Lu, W., Yang, J., Li, Z. & Liang, B., 14 May 2019, In: IEEE Access. 7, p. 65303 - 65318Research output: Contribution to journal › Article › peer-review
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Domain Adaptation with Multilayer Adversarial Learning for Fault Diagnosis of Gearbox under Multiple Operating Conditions
Zhang, M., Lu, W., Yang, J., Wang, D. & Liang, B., 26 Dec 2019, 2019 Prognostics and System Health Management Conference (PHM-Qingdao). Qingdao, China,: IEEE, Vol. 2019. p. 1-6Research output: Chapter in Book/Published conference output › Conference publication
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Transfer-Learning-for-Fault-Diagnosis
Zhang, M., 11 Jun 2019Research output: Non-textual form › Software
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地铁自动扶梯变负载故障预警方法研究
Translated title of the contribution :Study on the Early Warning Method of Subway Escalator Under Variable Load Condition Research output: Contribution to journal › Article › peer-review
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2017
Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump
Zhang, M., Feng, K. & Jiang, Z., 1 Sept 2017, In: Mechanical Systems and Signal Processing. 93, 1, p. 460-493 33 p.Research output: Contribution to journal › Article › peer-review
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2016
Dynamic analysis of integrally geared compressors with varying workloads
Zhang, M., Jiang, Z. & Gao, J., 30 Nov 2016, In: Shock and Vibration. 2016, 12 p., 2594635 .Research output: Contribution to journal › Article › peer-review
Open AccessFile