scholarly journals Active fault mapping and reconnaissance paleoseismic investigations in the La Pine graben, Oregon Cascades, USA

Geomorphology ◽  
2019 ◽  
Vol 326 ◽  
pp. 6-16
Author(s):  
Michael J. Vadman ◽  
Sean P. Bemis
Keyword(s):  
2008 ◽  
Vol 30 (1) ◽  
pp. 73-83 ◽  
Author(s):  
Văn Đức Tùng ◽  
Trần Văn Thắng
Keyword(s):  

Characteristics of active fault and neotectonic in Na Pheo - Nam Ty area


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Yan-Hua Ma ◽  
Xian Du ◽  
Lin-Feng Gou ◽  
Si-Xin Wen

AbstractIn this paper, an active fault-tolerant control (FTC) scheme for turbofan engines subject to simultaneous multiplicative and additive actuator faults under disturbances is proposed. First, a state error feedback controller is designed based on interval observer as the nominal controller in order to achieve the model reference rotary speed tracking control for the fault-free turbofan engine under disturbances. Subsequently, a virtual actuator based reconfiguration block is developed aiming at preserving the consistent performance in spite of the occurrence of the simultaneous multiplicative and additive actuator faults. Moreover, to improve the performance of the FTC system, the interval observer is slightly modified without reconstruction of the state error feedback controller. And a theoretical sufficiency criterion is provided to ensure the stability of the proposed active FTC system. Simulation results on a turbofan engine indicate that the proposed active FCT scheme is effective despite of the existence of actuator faults and disturbances.


2016 ◽  
Vol 27 (8) ◽  
pp. 1260-1283 ◽  
Author(s):  
Feng Xu ◽  
Sorin Olaru ◽  
Vicenc Puig ◽  
Carlos Ocampo-Martinez ◽  
Silviu-Iulian Niculescu

2020 ◽  
Vol 92 (1) ◽  
pp. 261-274
Author(s):  
Jie Zhang ◽  
Huiyu Zhu ◽  
Siwei Yu ◽  
Jianwei Ma

Abstract The ability to calculate the seismogram of an earthquake at a local or regional scale is critical but challenging for many seismological studies because detailed knowledge about the 3D heterogeneities in the Earth’s subsurface, although essential, is often insufficient. Here, we present an application of compressed sensing technology that can help predict the seismograms of earthquakes at any position using data from past events randomly distributed in the same area in Jinggu County, Yunnan, China. This first data-driven approach for calculating seismograms generates a large dataset in 3D with a volume encompassing an active fault zone. The input number of earthquakes comprises only 1.27% of the total output events. We use the output data to create a database intended to find the best-matching waveform of a new event by applying an earthquake search engine, which instantly reveals the hypocenter and focal-mechanism solution.


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