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dc.contributor.authorLi, H.
dc.contributor.authorChen, D.
dc.contributor.authorGao, X.
dc.contributor.authorWang, Xiangyu
dc.contributor.authorHan, Q.
dc.contributor.authorWu, Changzhi
dc.identifier.citationLi, H. and Chen, D. and Gao, X. and Wang, X. and Han, Q. and Wu, C. 2018. Fast-slow dynamics of a hydropower generation system with multi-time scales. Mechanical Systems and Signal Processing. 110: pp. 458-468.

© 2018 Elsevier Ltd This paper reports on fast-slow dynamical analysis of a typical complex engineering system coupling with hydraulic-mechanical-electric power. Here, we find a high-dimensional hydropower generation system that fast-slow effect manifesting as spiking states and quiescent states exists by means of multi-time-scale structure mining. In our experimental analysis, we extract critical fast-slow variant parameters used to further study the behaviors of the presented system. Our results reveal that the change of fast-slow variant parameters has remarkable impact on the fluctuation interval of spiking states and quiescent states, which provides guidance for system parameter setting; meanwhile, we experimentally demonstrate that multi-time-scale physical phenomena reflect the stability and operational feature of the complex hydropower generation system. This work, combined with multi-scale dynamic analysis and a snapshot of macro-significance of engineering, enables us to develop a novel framework for investigating instability of complex engineering systems.

dc.publisherAcademic Press
dc.titleFast-slow dynamics of a hydropower generation system with multi-time scales
dc.typeJournal Article
dcterms.source.titleMechanical Systems and Signal Processing
curtin.departmentSchool of Design and the Built Environment
curtin.accessStatusFulltext not available

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