Research output per year
Research output per year
Personal profile
Research Interests
- Fault diagnosis and condition monitoring
- Cost-effective wireless condition monitoring system
- Data compression and signal processing
- Machine learning
- Energy harvesting
Biography
Xiaoli Tang is currently a Machine Learning and Data Scientist - KTP Associate in College of Engineering & Physical Sciences. She was a research fellow of the School of Engineering and Technology at Aston University who worked in Optimising Wheel Alignment to Reduce Vehicle Particulate Emissions project funded by Innovate UK from April 2020 to July 2021. She has a strong background in the research field of rotating machine condition monitoring. She has rich experience in developing data fusion and compression methods, effective and efficient fault diagnosis approaches, vibroacoustic instrumentation and testing, intelligent online wireless condition monitoring systems.
Education/Academic qualification
PhD, University of Huddersfield
11 Jan 2016 → 10 Jan 2020
Award Date: 16 Sep 2020
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A Modulation Signal Bispectrum Enhanced Squared Envelope for the Detection and Diagnosis of Compound Epicyclic Gear Faults
Xu, Y., Feng, G., Tang, X., Yang, S., Gu, F. & Ball, A. D., 21 May 2022, (E-pub ahead of print) In: Structural Health Monitoring.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A Mobile Robot Based Monitoring Platform for Pipeline Leakage Diagnosis Based on Cross-correlation Analysis
Tang, W., Zhang, G., Gu, F. & Tang, X., 16 May 2021, Proceedings of IncoME-V & CEPE Net-2020. IncoME-V 2020. Zhen, D., Wang, D., Wang, T., Wang, H., Huang, B., Sinha, J. K. & Ball, A. D. (eds.). Vol. 105. p. 477-489 13 p. (Mechanisms and Machine Science; vol. 105).Research output: Chapter in Book/Published conference output › Conference publication
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Multifunctional composites for energy harvesting based on piezoelectric microgenerator
Chen, B., Jia, Y., Tang, X., Narita, F., Makihara, K. & Shi, Y., 30 Dec 2021, 2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2021. IEEE, p. 164-167 4 p.Research output: Chapter in Book/Published conference output › Conference publication
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Towards Power Neutral Wireless Sensors: A Real-Time Wheel Alignment Monitoring System
Tang, X., Longden, M., Shi, Y., Chen, B., Farooq, R., Lees, H. & Jia, Y., 30 Dec 2021, 2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2021. IEEE, p. 124-127 4 p.Research output: Chapter in Book/Published conference output › Conference publication
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An evaluating study of using thermal imaging and convolutional neural network for fault diagnosis of reciprocating compressors
Deng, R., Tang, X., Song, L., Abdulmumeer, A., Gu, F. & Ball, A. D., 17 Oct 2020, In: International Journal of COMADEM. 23, 4, p. 23-26 4 p.Research output: Contribution to journal › Article › peer-review