Research output per year
Research output per year
Personal profile
Overview
Dr Long Zhang is a Senior Lecturer within the Department of Electrical and Electronic Engineering at the University of Manchester. His research mainly focuses on data-driven intelligence and control (machine and statistical learning, neural networks, system identification, frequency analysis, condition monitoring, intelligent control, instrumentation) and their practical applications in smart renewable energy, robotics and transportation. One of his particular interest lies in the wind turbine condition monitoring and fault diagnosis. He is the founding director of the first industrial-scale wind turbine pitch bearing and blade laboratory at the University of Manchester. He is also the director of MSc course in Advanced Control and System Engineering.
His research has been widely supported EPSRC, EPSRC IAA, Innovate UK, and industrial partners. He has received over £2.5m research funding as principal investigator or co-investigator.
His research group is growing. As the main supervisor, he has been supervising/supervised 40 UG project students, 45 MSc students, 10 PhD students (three of them were awarded doctoral degrees and two of them will graduate later this year) and 3 PDRAs.
Email: long.zhang@manchester.ac.uk
Tel: 01613062045
Research interests
Data-driven modelling and frequency analysis
- Machine and statistical learning, Neural networks
- System identification
- Frequency analysis
Modelling and analysis for complex systems
- Wind turbine and solar power condition mointoring
- Structural health monitoring
Smart devices
- Hardware and software design
My group
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Beacons, Institutes and Platforms
- Aerospace Research Institute
- Digital Futures
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data
Wen, H., Zhang, L. & Sinha, J., 15 Aug 2022, In: Machines. 10, 8, p. 694Research output: Contribution to journal › Article › peer-review
Open Access -
Anomaly detection for wind turbine pitch bearings via autoencoder enhanced nonlinear autoregressive model
Zhang, C. & Zhang, L., Oct 2022, (Accepted/In press) The third International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile61 Downloads (Pure) -
Artificial Intelligence Techniques and Cloud Computing for Wind Turbine Pitch Bearing Fault Detection
Zhang, C., Márquez, F. P. G. & Zhang, L., Oct 2022, (Accepted/In press) Non-Destructive Testing and Condition Monitoring Techniques In Wind Energy. Elsevier BVResearch output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
File47 Downloads (Pure) -
A System Identification Procedure Using Compressive Sensing
Chu, M. & Zhang, L., 17 Mar 2022, (Accepted/In press) the 13th UK Automatic Control Council (UKACC) International Conference on Control (CONTROL2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data-driven fault identification of ageing wind turbine
Liu, Y. & Zhang, L., Mar 2022, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
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RAI: Centre for Robotics and Artificial Intelligence
Cangelosi, A., Lennox, B., Weightman, A., Dennis, L., Dixon, C., Fisher, M., Herrmann, G., Dickson, A., Lanzon, A., Stancu, A., Saiani, A., Freitas, A., Nini, A., Voronkov, A., Brass, A., Vijayaraghavan, A., Parslew, B., crowther, W., Grieve, B., Adorno, B., Jay, C., Wang, C. C. L., Todd, C., Soutis, C., Arsene, C., Dresner, D., Barrett, E., Gowen, E., Arvin, F., Podd, F., Brown, G., Reger, G., Cooper, G., Mairs, H., Yin, H., Kinloch, I., Eleftheriou, I., Li, J., Carrasco Gomez, J., Ainsworth, J., Sinha, J., Ozanyan, K., Smith, K., Twomey, K., Margetts, L., Ren, L., Zhang, L., Cordeiro, L., Rattray, M., Bissett, M., Elliot, M., Alvarez, M., Luján, M., Nabawy BSc, MSc, PhD, MRAeS, SMAIAA, FHEA, M., Peek, N., Marjanovic, O., Dorn, O., Dudek, P., Green, P., Connolly, P., Da Silva Bartolo, P. J., Gardner, P., Martin, P., Potluri, V., Curtis, R., Schmidt, R., Banach, R., Batista-Navarro, R. T., Kaski, S., Midson, S., Watson, S., Holm, S., Furber, S., Schlegel, V., Mirihanage, W., Mansell, W., Pan, W., Sampson, W., Sellers, W., Yang, W., Cai, P., Sun, Y., Alharthi, A., Macario Rojas, A., Serhan, B., Yu, C., Abara, D., Lopez Pulgarin, E., Faruq, F., Tavella, F., Semeraro, F., Liu, G., Fang, G., Niu, H., Taylor, H., Zhu, H., Collenette, J., Amano, K., Lo, K. C. J., Raggioli, L., Romeo, M., Ruocco, M., Ghaffari Saadat, M., Walmsley, M., Mubarik, A., Vinanzi, S., Su, Y., Mcaleese, H., Stringer, P., Stoican, R., Ye, R., Kurawa, S. S., Zhang, T., Krywonos, W., Xu, Y., Tian, Y., Henderson, A., Morley, D., Tallentire, J., Clayton, J., Hawthornthwaite, S. & Carlson, J.
Project: Research
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digiTal tRANSport twin FOr gReater Manchester
Martinez-Cesena, E., Topping, D., Zhang, L. & Zheng, H.
1/07/21 → 31/12/21
Project: Research
Activities
- 1 Membership of professional association
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Institute of Electrical and Electronics Engineers, Inc. (IEEE) (External organisation)
Long Zhang (Academic expert member)
1 Dec 2013 → 1 Dec 2020Activity: Membership › Membership of professional association