Fault-cause identification plays a significant role in transmission line maintenance and fault disposal. With the increasing types of monitoring data, i.e., micrometeorology geographic information, multiview learning can be used to realize information fusion for better fault-cause identification. To reduce redundant different this paper, hierarchical feature selection (HMVFS) method is proposed...

to explore the function of light-harvesting complex protein (lhcp) in arabidopsis growth and development, the leclere and bartel seed collection was screened. in this collection randomly cloned cdnas are expressed under the camv35s promoter. a pale green line has been identified and characterized in more details. analysis of the inserted cdna in the pale green line showed it encodes lhcb1 prote...

The hidden failures generally exist in power systems and could give rise to cascading failures. Identification of is challenging due very low occurrence probabilities. This paper proposes a state-failure-network (SF-net-work) method overcome the difficulty. SF-network formed by searching states guided risk estimation indices, which only contributing blackout risks are searched duplicated search...