scispace - formally typeset
H

Haibin Zhang

Researcher at Chinese Academy of Sciences

Publications -  133
Citations -  2397

Haibin Zhang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Signal & Smart grid. The author has an hindex of 21, co-authored 126 publications receiving 1909 citations. Previous affiliations of Haibin Zhang include University of Amsterdam & Nanyang Technological University.

Papers
More filters
Journal ArticleDOI

Influence of membrane wetting on CO2 capture in microporous hollow fiber membrane contactors

TL;DR: In this article, a theoretical model was developed by simulating CO 2 absorption in water under two extreme operating conditions of the non-wetted and wetted modes of operation.
Journal ArticleDOI

Rotating machine fault diagnosis through enhanced stochastic resonance by full-wave signal construction

TL;DR: In this article, the authors proposed a full-wave signal construction (FSC) strategy for enhancing rotating machine fault diagnosis by exploiting stochastic resonance (SR), which is utilized to transform a halfwave signal (e.g., an envelope signal) into a full wave one by conducting a Mirror-Cycle-Add (MCA) operation.
Journal ArticleDOI

Growth and survival of reciprocal crosses between two bay scallops, Argopecten irradians concentricus Say and A. irradians irradians Lamarck

TL;DR: Both maternal origin and mating strategy had significant effects on growth and survival throughout the whole larval stage of A. irradians irradians and hybridization may be a promising way for genetic improvement of existing bay scallop brood stocks in China.
Journal ArticleDOI

Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance

TL;DR: In this article, a nonstationary weak signal detection strategy is proposed based on a time-delayed feedback stochastic resonance (TFSR) model, which can utilize historical information to enhance the signal periodicity in the feedback process, and such an effect is beneficial to periodic signal detection.