Search Results - "Hu, Aijun"

Physicochemical and in vitro digestion of millet starch: Effect of moisture content in microwave by Li, Yang, Hu, Aijun, Wang, Xiaoyi, Zheng, Jie

“…In this study, the physicochemical and in vitro digestion of millet starch with different moisture content after microwave treatment were investigated. The…”
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Forecasting Short-Term Wind Speed Based on IEWT-LSSVM Model Optimized by Bird Swarm Algorithm by Xiang, Ling, Deng, Zeqi, Hu, Aijun

“…Accurate wind speed prediction can improve the utilization efficiency of wind energy effectively. However, the original time series signals of wind speed…”
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An engineering condition indicator for condition monitoring of wind turbine bearings by Aijun Hu, Ling Xiang, Lijia Zhu

“…Abstract Condition monitoring (CM) of wind turbine becomes significantly important part of wind farms in order to cut down operation and maintenance costs. The…”
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Closed-Cell Rigid Polyimide Foams for High-Temperature Applications: The Effect of Structure on Combined Properties by Shi, Yawei, Hu, Aijun, Wang, Zhiyuan, Li, Kedi, Yang, Shiyong

“…Closed-cell rigid polyimide foams with excellent thermal stability and combined properties were prepared by thermal foaming of a reactive end-capped polyimide…”
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Regional indirect economic impact evaluation of the 2008 Wenchuan Earthquake by Wu, Jidong, Li, Ning, Hallegatte, Stéphane, Shi, Peijun, Hu, Aijun, Liu, Xueqin

“…Disaster loss estimates are helpful for managing post-disaster reconstruction and for designing disaster-risk mitigation strategies. However, most of these…”
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Dual-frequency ultrasound effect on structure and properties of sweet potato starch by Zheng, Jie, Li, Qian, Hu, Aijun, Yang, Lin, Lu, Jing, Zhang, Xiaoqinq, Lin, Qiuqian

“…Effects on the structure and properties of sweet potato starch under single frequency ultrasound of 25, 80 kHz and dual‐frequency ultrasound of 25 and 80 kHz…”
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Recent Trends in the Preparation of Nano-Starch Particles by Hassan, Nora Ali, Darwesh, Osama M, Smuda, Sayed Saad, Altemimi, Ammar B, Hu, Aijun, Cacciola, Francesco, Haoujar, Imane, Abedelmaksoud, Tarek Gamal

“…Starch is affected by several limitations, e.g., retro-gradation, high viscosity even at low concentrations, handling issues, poor freeze-thaw stability, low…”
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Communication-Efficient Modeling with Penalized Quantile Regression for Distributed Data by Hu, Aijun, Li, Chujin, Wu, Jing

“…In order to deal with high-dimensional distributed data, this article develops a novel and communication-efficient approach for sparse and high-dimensional…”
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Structures and properties of closed-cell polyimide rigid foams by Wang, Leilei, Hu, Aijun, Fan, Lin, Yang, Shiyong

“…ABSTRACT Closed‐cell polyimide rigid foams with different Calculated Molecular Weight (Calc'd Mn) and foam density (ρ) have been prepared by thermal foaming of…”
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Time-extracting S-transform algorithm and its application in rolling bearing fault diagnosis by Xu, YongGang, Wang, Liang, Hu, AiJun, Yu, Gang

“…Time-frequency (TF) analysis (TFA) is one of the effective methods to deal with non-stationary signals. Due to their advantages, many experts and scholars have…”
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An optimal selection method for morphological filter’s parameters and its application in bearing fault diagnosis by Hu, Aijun, Xiang, Ling

“…The Mathematical morphological filter (MMF) is widely applied in vibration signal processing for fault diagnosis. The Structure element (SE) and the cutoff…”
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Expectile Regression on Distributed Large-Scale Data by Hu, Aijun, Li, Chujin, Wu, Jing

“…Large-scale data presents great challenges to data analysis due to the limited computer storage capacity and the heterogeneous data structure. In this article,…”
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Frequency Loss and Recovery in Rolling Bearing Fault Detection by Hu, Aijun, Xiang, Ling, Xu, Sha, Lin, Jianfeng

“…Rolling element bearings are key components of mechanical equipment. The bearing fault characteristics are affected by the interaction in the vibration…”
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A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing by Ling, Xiang, Shangfei, Sun, Jianfeng, Lin, Aijun, Hu

“…The fault signals of rolling element bearing are often characterized by the presence of periodic impulses, which are modulated high-frequency harmonic…”
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Quantifying cascading effects triggered by disrupted transportation due to the Great 2008 Chinese Ice Storm: implications for disaster risk management by Xie, Wei, Li, Ning, Li, Chunhua, Wu, Ji-dong, Hu, Aijun, Hao, Xiaolin

“…Cascading effects are usually one of the common ways through which relatively minor hazards can substantially impact society and economy; the failure of a…”
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Analyzing regional economic impact and resilience: a case study on electricity outages caused by the 2008 snowstorms in southern China by Hu, Aijun, Xie, Wei, Li, Ning, Xu, Xuanhua, Ji, Zhonghui, Wu, Jidong

“…When we think about the loss caused by natural disasters, we generally think about the direct economic loss. Although the direct economic loss is often…”
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Preparation, morphology and properties of nano-sized Al2O3/polyimide hybrid films by Wu, Juntao, Yang, Shiyong, Gao, Shengqiang, Hu, Aijun, Liu, Jingang, Fan, Lin

“…Nano-sized Al2O3/polyimide (PI) hybrid films based on 4, 4'-oxydianiline (ODA) and pyromellitic dianhydride (PMDA) were prepared by incorporation with…”
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Electrospun silk fibroin nanofibers promote Schwann cell adhesion, growth and proliferation by Hu, Aijun, Zuo, Baoqi, Zhang, Feng, Lan, Qing, Zhang, Huanxiang

“…In this study, Schwann cells, at a density of 1 x 105 cells/well, were cultured on regenerated silk fibroin nanofibers （305 ＋ 84 nm） prepared using the…”
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A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions by Su, Hao, Xiang, Ling, Hu, Aijun, Xu, Yonggang, Yang, Xin

“…•A novel method called DRHRML is proposed for bearing fault diagnosis with small samples under different working conditions.•Improved sparse denoising…”
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Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks by Xiang, Ling, Yang, Xin, Hu, Aijun, Su, Hao, Wang, Penghe

“…•A novel model is proposed for data-driven condition monitoring of wind turbine.•Two directional GRUs (BiGRU) are proposed to extract information from back to…”
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