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RISS 인기검색어
- 검색키워드
- 저자 : Qin Hongwu,Zhang Chao,Zhang Xian,Fan Qinyin (검색결과 4 건)
- 무료
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Analysis Technique of Spectral Characteristics AE Signals with Application to Monitored for WT
Qin Hongwu,Zhang Xian,Chu Wei,Fan Qinyin,Peng Jincheng,Jia Tongli 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.1
The paper presents the results of an assessment with a range as real AE signals are received at destruction of spot welding, and imitated by means of a AE transducer are given in work, efficiency use of high-frequency area for recognition of AE signals against hindrances is shown. The actuator is excited by an impulse signal instead of a sinewave, and the responses are measured with the PE sensors. The spectral characteristics of AE signals should use broadband transducers with the rise in the PE side of the treble to compensate for PE of the sample, and partly of the signal spectrum, which is reduced the measurement error of the absolute values. The damage could be indicated in an experiment, but it turned out that the sensitivity is low if the damage is not in the path between actuator and sensor. When a machine has a mistake, it leads to energy loss and results in the transformation of sound, heat and the whole performance. The basis of most condition monitoring techniques WT has been constructed by the various features.
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Research of Acoustic Emission Testing Method with Application to Monitored for Wind Turbines
Qin Hongwu,Zhang Chao,Zhang Xian,Fan Qinyin 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1
Acoustic Emission method of nondestructive check is based on exertion wave radiation and their registration during fast local material structure reorganization. It is used as a means of analysis of materials, constructions, productions control and diagnosis during operating time. In the article, it is applied to structural health monitoring of Wind Turbines. Acoustic emission testing is based condition monitoring system uses data already collected at the wind turbine controller. It is an effective way to monitor wind turbines for early warning of failures and performance issues. We used a number of measurements to develop anomaly detection algorithms and investigated classification techniques using clustering algorithms and principal components analysis for capturing fault signatures. When registering signal amplitude it is required to consider its frequency distribution connecting each amplitude rate with the corresponding vibration rate. The correlation and signal to noise ratio were evaluated by the algorithm based on frequency spectrum. Classical method of frequency distortion influence exclusion consists of FRF calculation with subsequent adjustment of received signals spectral characteristics.
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Implementation of Fall Detection System Based on Data Fusion Technology
Xianwei Wang,Hongwu Qin 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.4
This paper mainly discusses a fall detecting method for the elderly, implements the wireless positioning and automatic alarm function. The system is designed with low cost Micro-Electro-Mechanical System (MEMS) inertial measurement unit to measures activities data of the elderly people, which has achieved an accurate attitude determination by Kalman filter for the multi-sensor data fusion algorithm, and transfer information to remote medical monitoring system platform by CDMA network, it makes the elderly get treatment in time after the fall. The experiments show that the system can accurately detect the elderly falling, send out alarms and positioning after a fall, its applying will provide a new security guarantee for the elderly health.
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Huang Peng,Qin Xiaofei,Fan Chuiqin,Wang Manna,Chen Fuyi,Liao Maochuan,Zhong Huifeng,Wang Hongwu,Ma Lian 한국조직공학과 재생의학회 2023 조직공학과 재생의학 Vol.20 No.5
BACKGROUND: Despite the progress in perinatal-neonatal medicine, complications of extremely preterm infants continue to constitute the major adverse outcomes in neonatal intensive care unit. Human umbilical cord Wharton’s Jellyderived mesenchymal stem cells (HUMSCs) may offer new hope for the treatment of intractable neonatal disorders. This study will explore the functional differences of HUMSCs between extremely preterm and term infants. METHODS: UMSCs from 5 extremely preterm infants(weeks of gestation: 22?5 w,24?4 w,25?3 w,26 w,28 w) and 2 term infants(39 w,39?2 w) were isolated, and mesenchymal markers, pluripotent genes, proliferation rate were analyzed. HUVECs were injured by treated with LPS and repaired by co-cultured with HUMSCs of different gestational ages. RESULTS: All HUMSCs showed fibroblast-like adherence to plastic and positively expressed surface marker of CD105,CD73 and CD90, but did not expressed CD45,CD34,CD14,CD79a and HLA-DR; HUMSCs in extremely preterm exhibited significant increase in proliferation as evidenced by CCK8, pluripotency markers OCT-4 tested by RT-PCR also showed increase. Above all, in LPS induced co-cultured inflame systerm, HUMSCs in extremely preterm were more capable to promote wound healing and tube formation in HUVEC cultures, they promoted TGFb1 expression and inhibited IL6 expression. CONCLUSIONS: Our results suggest that HUMSCs from extremely preterm infants may be more suitable as candidates in cell therapy for the preterm infants.
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