| 1. |
- Tang, Shengwen, et al.
(författare)
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Current and future hydropower development in Southeast Asia countries (Malaysia, Indonesia, Thailand and Myanmar)
- 2019
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Ingår i: Energy Policy. - : Elsevier BV. - 0301-4215. ; 129, s. 239-249
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Tidskriftsartikel (refereegranskat)abstract
- This work discusses the development of hydropower in four Southeast Asia countries. With rapid economic development and insufficient energy supply, hydropower, as an important clean energy, plays a bigger role than before. It is shown that hydropower has immense potential and is the best choice to cater for the energy demand in Southeast Asia. In this work, Malaysia, Indonesia, Thailand and Myanmar are selected to analyze their hydropower development. This work introduces the status of hydropower resources, the current situation of hydropower development and the main distribution of hydropower stations in the four countries. In addition, the paper also introduces some energy policies, the development advantages and obstacles of the four countries, and puts forward suggestions for the future hydropower development of these four countries.
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| 2. |
- Yang, Zhi-Bo, et al.
(författare)
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Stable subspace dimension reduced MUSIC for blade tip timing
- 2023
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Ingår i: Journal of Sound and Vibration. - : Elsevier. - 0022-460X .- 1095-8568. ; 545
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Tidskriftsartikel (refereegranskat)abstract
- Multiple signal classification (MUSIC) is a parameter extraction method for blade tip timing to suppress the under-sampled problem. Its faster version, subspace dimension reduced MUSIC (SDR-MUSIC), has been proposed, which uses a single noise vector instead of the whole noise subspace to reduce computational complexity. However, the principle of random noise vector selection leads to instability in frequency identification. Therefore, we replace the random vector with the min-norm vector to obtain a stable SDR-MUSIC (SSDR-MUSIC). The superiority of the min-norm vector can be mathematically proven by the location of the zeros of the polynomial. Simulated and experimental tests indicate that SSDR-MUSIC gains stability when the min-norm vector is used while maintaining computational efficiency.
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