Lihua Tang
mechanical engineering researcher at University of Auckland in New Zealand
Facts
7 properties- Instance of
- human
- Occupation
- researcher, mechanical engineer
- Educated at
- Nanyang Technological University, Shanghai Jiao Tong University, Shanghai Jiao Tong University
- Doctoral student
- Guobiao Hu, Zhaoshu Yang, Geng Chen, Bo Sheng, Liuyang Xiong[4][5][6][7][8]
- On focus list of Wikimedia project
- NZThesisProject[10]
🏷️ Also known as
en Lihua Tang
en L. Tang
🔖 Identifiers · 4
- ORCID iD
- 0000-0001-9031-4190
- OpenAlex ID
- A5041383884
- Google Scholar author ID
- kTGacisAAAAJ
- Scopus author ID
- 34873882100
🔗 Connections
Author of 44
Achieving high-speed rotations with a semi-flexible rotor driven by ultralow-frequency vibrations,
A comparative study on transient vibration suppression of magnetic nonlinear vibration absorbers with different arrangements,
A comprehensive study of 2:1 internal-resonance-based piezoelectric vibration energy harvesting,
A contra-rotating free-spinning energy harvester,
An impact-engaged two-degrees-of-freedom Piezoelectric Energy Harvester for Wideband Operation,
An Industrial Robot-Based Rehabilitation System for Bilateral Exercises,
A non-traditional variant nonlinear energy sink for vibration suppression and energy harvesting,
A Novel Bearing Fault Data Generation Strategy Combining Physical Modeling and CycleGAN Variant for Fault Diagnosis Without Real Samples
+36 more
← Authored by 44
Achieving high-speed rotations with a semi-flexible rotor driven by ultralow-frequency vibrations,
A comparative study on transient vibration suppression of magnetic nonlinear vibration absorbers with different arrangements,
A comprehensive study of 2:1 internal-resonance-based piezoelectric vibration energy harvesting,
A contra-rotating free-spinning energy harvester,
An impact-engaged two-degrees-of-freedom Piezoelectric Energy Harvester for Wideband Operation,
An Industrial Robot-Based Rehabilitation System for Bilateral Exercises,
A non-traditional variant nonlinear energy sink for vibration suppression and energy harvesting,
A Novel Bearing Fault Data Generation Strategy Combining Physical Modeling and CycleGAN Variant for Fault Diagnosis Without Real Samples
+36 more
Affiliated with 3
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