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Fault Diagnosis of Power Transformer Based on Improved ACGAN Under Imbalanced Data

Computers, Materials & Continua 2023年第5期75卷 4573-4592页

作者： Tusongjiang.Kari Lin Du aisikaer.rouzi Xiaojing Ma Zhichao Liu Bo Li School of Electrical Engineering Xinjiang UniversityUrumqi830047China School of Mathematics Xinjiang UniversityUrumqi830047China

The imbalance of dissolved gas analysis(DGA)data will lead to over-fitting,weak generalization and poor recognition performance for fault diagnosis models based on deep *** handle this problem,a novel transformer fault diagnosis method based on improved auxiliary classifier generative adversarial network(ACGAN)under imbalanced data is proposed in this paper,which meets both the requirements of balancing DGA data and supplying accurate diagnosis *** generator combines one-dimensional convolutional neural networks(1D-CNN)and long short-term memories(LSTM),which can deeply extract the features from DGA samples and be greatly beneficial to ACGAN’s data balancing and fault *** discriminator adopts multilayer perceptron networks(MLP),which prevents the discriminator from losing important features of DGA data when the network is too complex and the number of layers is too *** experimental results suggest that the presented approach can effectively improve the adverse effects of DGA data imbalance on the deep learning models,enhance fault diagnosis performance and supply desirable diagnosis accuracy up to 99.46%.Furthermore,the comparison results indicate the fault diagnosis performance of the proposed approach is superior to that of other conventional ***,the method presented in this study has excellent and reliable fault diagnosis performance for various unbalanced *** addition,the proposed approach can also solve the problems of insufficient and imbalanced fault data in other practical application fields.

关键词： Power transformer dissolved gas analysis imbalanced data auxiliary classifier generative adversarial network

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Power Transformer Fault Diagnosis Using Random Forest and Optimized Kernel Extreme Learning Machine

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Intelligent Automation & Soft Computing 2023年第7期37卷 691-705页

作者： Tusongjiang Kari Zhiyang He aisikaer.rouzi Ziwei Zhang Xiaojing Ma Lin Du School of Electrical Engineering Xinjiang UniversityUrumqi830047China School of Mathematics Xinjiang UniversityUrumqi830047China Sichuan Energy Internet Research Institute Under Tsinghua University Cheng Du610213China

Power transformer is one of the most crucial devices in power *** is significant to determine incipient faults of power transformers fast and *** features play critical roles in fault diagnosis *** order to further improve the fault diagnosis performance of power trans-formers,a random forest feature selection method coupled with optimized kernel extreme learning machine is presented in this ***,the random forest feature selection approach is adopted to rank 42 related input features derived from gas concentration,gas ratio and energy-weighted dissolved gas ***,a kernel extreme learning machine tuned by the Aquila optimization algorithm is implemented to adjust crucial parameters and select the optimal feature *** diagnosis accuracy is used to assess the fault diagnosis capability of concerned feature ***,the optimal feature subsets are applied to establish fault diagnosis *** to the experimental results based on two public datasets and comparison with 5 conventional approaches,it can be seen that the average accuracy of the pro-posed method is up to 94.5%,which is superior to that of other conventional *** diagnosis performances verify that the optimum feature subset obtained by the presented method can dramatically improve power transformers fault diagnosis accuracy.

关键词： Power transformer fault diagnosis kernel extreme learning machine aquila optimization random forest

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Evapotranspiration of Cotton, <i>Apocynum pictum</i>, and <i>Zyzyphus jujuba</i>in the Tarim Basin, Xinjiang, China

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Journal of Water Resource and Protection 2015年第13期7卷 1101-1109页

作者： Niels Thevs Ahemaitijiang rouzi World Agroforestry Centre Bishkek Kyrgyzstan University of Greifswald Greifswald Germany

Evapotranspiration is a crucial component of the water balance of ecosystems and landscapes, especially under arid climates. In the Tarim Basin, China, there is an increasing competition for water between irrigated agriculture, mainly cotton, and natural ecosystems, which results in periods of water shortage. Such water shortages also impact on cotton. Therefore, alternative crops have been searched for, which eventually withstand such periodical water shortages better than irrigated cotton, notably Zyzyphus jujuba and Apocynum pictum. The fruit tree Z. jujuba has been promoted from the previous decade onward in parts of the Tarim Basin. A. pictum is used as medicinal plant and in a small scale as fiber crop. A. pictum is a perennial herb, which is part of the natural riparian vegetation along the rivers of the Tarim Basin and which grows without irrigation. Therefore, the objective of this paper is to investigate the crop evapotranspiration (ETc) of those three plant species over the growing season. In this paper, the Penman-Monteith approach was employed. Daily means of stomatal resistance in June was 118 s/m, 222 s/m, and 927 s/m for cotton, A. pictum leafs, and Z. jujuba, respectively. In October, those daily mean stomatal resistance climbed to 885 s/m and 742 s/m for cotton and A. pictum leafs, respectively. ETc over the growing season was 514.7 mm for cotton, 217.2 mm for A. pictum, and 339 mm for Z. jujuba. The Kc value of Z. jujuba was in the range of other fruit trees. In this study cotton attained high yields compared to world average yields at a low ETc. This high water use efficiency was achieved through a shift from flood to drip irrigation, the utilization of plastic mulch, and breeding of cotton varieties.

关键词： Evapotranspiration Stomatal Conductance Stomatal Resistance Penman-Monteith Remote Sensing

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Wheat silage partially replacing oaten hay exhibited greater feed efficiency and fibre digestion despite low feed intake by feedlot lambs

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Animal Nutrition 2023年第4期15卷 332-340页

作者： Zhao-Yang Cui Wen-Juan Li Wei-Kang Wang Qi-Chao Wu Yao-Wen Jiang Ailiyasi aisikaer Fan Zhang He-Wei Chen Hong-Jian Yang State Key Laboratory of Animal Nutrition College of Animal Science and TechnologyChina Agricultural UniversityBeijing 100193China

This study aimed to investigate the feeding effect of wheat silage on growth performance,nutrient digestibility,rumen fermentation,and microbiota composition in feedlot ***-four male crossbred Chinese Han lambs(BW=27.8±0.67 kg,3 months of age)were randomly assigned to four ration groups with wheat silage replacing 0%(WS0),36%(WS36),64%(WS64),and 100%(WS100)of oaten hay on forage dry matter *** concentrate-to-forage ratio was 80:20 and the feeding trial lasted 52 *** wheat silage inclusion linearly decreased dry matter intake by 4%to 27%(P<0.01).However,increasing the wheat silage replacement of oaten hay by no more than 64%improved the feed efficiency by 14%as noted by the feed-to-gain ratio(P=0.04).Apparent digestibility of organic matter(P<0.01),neutral detergent fibre(P=0.04)and acid detergent fibre(P<0.01)quadratically *** nitrogen(P=0.01)decreased while microbial protein production(P<0.01)increased with the increase of wheat silage *** volatile fatty acids concentration increased quadratically with the increase of wheat silage inclusion(P<0.01),and the highest occurred in *** molar proportion of acetate(P<0.01)and acetate-to-propionate ratio(P=0.04)decreased while butyrate(P<0.01)and isovalerate(P=0.04)*** wheat silage inclusion increased the Firmicutes-toBacteroidota ratio by 226%to 357%,resulting in Firmicutes instead of Bacteroidota being the most abundant *** relative abundance of cellulolytic Ruminococcus numerically increased but that of amylolytic Prevotella(P<0.01)decreased as increasing wheat silage *** together,increasing wheat silage replacement of oaten hay by no more than 64%exhibited greater feed efficiency and fibre digestion despite low feed intake by feedlot lambs due to the change of Firmicutes-to-Bacteroidota ratio in the rumen.

关键词： Wheat silage Oaten hay Growth performance Nutrient digestibility Rumen fermentation Feedlot lamb

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Utilization of fruit waste for H_(2)-rich syngas production via steam co-gasification with brown coal

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Carbon Resources Conversion 2023年第4期6卷 315-325页

作者： aisikaer Anniwaer Nichaboon Chaihad Aghietyas Choirun Az Zahra Irwan Kurnia Yutaka Kasai Suwadee Kongparakul Chanatip Samart Katsuki Kusakabe Abuliti Abudula Guoqing Guan Graduate School of Science and Technology Hirosaki University1-BunkyochoHirosaki 036-8560Japan Energy Conversion Engineering Laboratory Institute of Regional InnovationHirosaki University3-BunkyochoHirosaki 036-8561Japan Industrial Research Institute Aomori Prefectural Industrial Technology Research Center4-11-6Daini-TonyamachiAomori 030-0113Japan Department of Chemistry Faculty of Science and TechnologyThammasat UniversityPathumtani 12120 Thailand Department of Nanoscience Sojo University4-22-1Nishi-kuKumamoto-shiKumamoto 860-0082Japan Department of Chemistry Faculty of Mathematics and Natural SciencesUniversitas PadjadjaranJl.Raya Bandung–Sumedang KM.21 JatinangorSumedang 45363Indonesia

In this work,to efficiently utilize waste fruit and low-rank coal for the hydrogen(H_(2))-rich syngas production,steam co-gasification of banana peel(BP)and brown coal(BC)was studied in a fixed-bed *** results showed that the gasification rate of BC was highly enhanced after mixing it with BP and the obvious synergistic effect was observed in all investigated three mixing weight ratios(i.e.,1:1,1:4,4:1),resulting in a higher carbon conversion as well as a H_(2)-rich gas production yield for the ***,the extent of promotion by synergistic effect was affected by the reaction temperature,mixing ratio,and steam *** was found that the high potassium(K)species content in the BP provided the catalytic effect not only on water-gas shift reaction but also on tar reforming/cracking,thereby enhancing the gasification of *** addition,it is confirmed that steam should be an important factor to promote the synergistic effect and H_(2)-rich gas production.

关键词： Steam co-gasification Waste banana peel Brown coal H2-rich syngas Synergistic effect

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说话人识别中的分数域语速归一化

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清华大学学报（自然科学版） 2018年第4期58卷 337-341页

作者：艾斯卡尔·肉孜王东李蓝天郑方张晓东金磐石清华大学计算机科学与技术系、清华信息科学技术国家实验室技术创新和开发部语音和语言技术中心、信息技术研究院语音和语言技术中心北京100084 中国建设银行信息技术管理部北京100000

语速变化导致说话人识别系统性能显著下降。该文提出一种分数域语速归一化方法来降低语速变化对说话人识别系统的影响。由不同语速语音数据组成参考集（全局和局部）,对每一个登入说话人估计其对参考集中每一类参考语音的分数分布,局部... 详细信息

语速变化导致说话人识别系统性能显著下降。该文提出一种分数域语速归一化方法来降低语速变化对说话人识别系统的影响。由不同语速语音数据组成参考集（全局和局部）,对每一个登入说话人估计其对参考集中每一类参考语音的分数分布,局部参考集通过按相对语速划分全局参考集而获得。基于该文录制的语速数据库在GMM-UBM（Gaussian mixture model-universal background model）框架下对测试语音进行分数归一化,并通过训练数据扩展有效解决了数据系数问题,最终等错误率相对下降33.33%。研究结果表明：全局和局部归一化方法都有效减少了语速变化对说话人识别系统的影响。

关键词：说话人识别分数域语速归一化相对语速 GMM-UBM

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Effects of Irrigation and Nitrogen on the Performance of Aerobic Rice in Northern China

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Journal of Integrative Plant Biology 2008年第12期50卷 1589-1600页

作者： Chang-Ying Xue Xiao-Guang Yang B.A.M. Bouman Wei Deng Qiu-Ping Zhang Jie Yang Wei-Xiong Yan Tian-Yi Zhang A-Ji rouzi Hua-Qi Wang Pu Wang China Agricultural University Beijing 100094 China International Rice Research Institute DAPO Box 7777 Metro Manila Philippines Henan Institute of Meteorology Zhengzhou 450003 China

Aerobic rice is a new production system in which specially-developed varieties are grown under non-flooded, non-puddled, and non-saturated soil conditions. In 2003-2004, irrigation x Nitrogen experiments were carried out near Beijing using variety HD297. Water treatments included four irrigation levels, and Nitrogen treatments included different fertilizer N application rates and different numbers of N splits. The highest yields were 4460 kg/ha with 688 mm of total （rain plus irrigation） water input in 2003 and 6 026 kg/ha with 705 mm of water input in 2004. Because of the quite even distribution of rainfall in both years, the four irrigation treatments did not result in large differences of soil water conditions. There were few significant effects of irrigation on biomass accumulation, but yield increased with the total amount of water applied. High yields coincided with high harvest index and high percentages of grain filling. The application of fertilizer N either reduced biomass and yield or kept it at the same level as 0 N and consistently reduced the percentage grain filling and 1 000-grain weight. With the highest water application, five splits of N gave higher yield than three splits, whereas three splits gave higher yield than five splits with lower water applications.

关键词： aerobic rice nitrogen use efficiency North China water productivity.

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多基元及韵律参数匹配的维吾尔语语音合成方法

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计算机工程与应用 2012年第2期48卷 116-118页

作者：姑丽加玛丽·麦麦提艾力艾斯卡尔·肉孜艾斯卡尔·艾木都拉新疆大学信息科学与工程学院乌鲁木齐830046

音节是维吾尔语的最小发音单元,所以大部分维吾尔语语音合成系统以音节作为基本的合成单元,但维吾尔语中音节数量很大,语料库很难保证覆盖所有的音节样本,这会导致合成语音不稳定和不连续。为解决合成语音不稳定的情况,提出了结合单音... 详细信息

音节是维吾尔语的最小发音单元,所以大部分维吾尔语语音合成系统以音节作为基本的合成单元,但维吾尔语中音节数量很大,语料库很难保证覆盖所有的音节样本,这会导致合成语音不稳定和不连续。为解决合成语音不稳定的情况,提出了结合单音素和三音素两个不同基元的单元挑选算法。通过在单元挑选模块中加入韵律参数相匹配的方法选出最佳韵律匹配的单元并解决了合成语音不连续的情况。实验结果表明,提出的方法有效地解决了合成语音不稳定和不连续的现象,从而提高了合成语音的自然度。

关键词：维吾尔语音合成单音素三音素韵律参数模型单元挑选

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Oblique Projection Beamforming GPS Antijamming Algorithm

Oblique Projection Beamforming GPS Antijamming Algorithm

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第十一届中国卫星导航年会

作者： Binbin Shi Yan Ouyang rouzi Maimaiti Xiaobin Huang Li Lu Department of Aerospace Early warning Air Force Early Warning Academy

Adaptive beamforming based on the oblique projection technique, which can maximum retain useful signal and form nulls in the interference direction. The oblique projection technique is applied to GPS

关键词： oblique projection anti-jamming beamforming

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几种表面活性剂对大豆分离蛋白理化特性的影响

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中国食品学报 2014年第8期14卷 131-136页

作者：古扎努尔.艾斯卡尔余钰骢应铁进浙江大学食品科学与营养系浙江大学馥莉食品研究院杭州310058

本文研究不同类型表面活性剂(阴离子型、非离子型、两性)及其组合对改善大豆分离蛋白溶解性的效果及其机制。结果显示,蔗糖脂肪酸酯HLB15(SE15)、单硬脂酸甘油酯(GMS)、卵磷脂(LEC)和蔗糖脂肪酸酯-单硬脂酸甘油酯(SE15-GMS)对改善大豆... 详细信息

本文研究不同类型表面活性剂(阴离子型、非离子型、两性)及其组合对改善大豆分离蛋白溶解性的效果及其机制。结果显示,蔗糖脂肪酸酯HLB15(SE15)、单硬脂酸甘油酯(GMS)、卵磷脂(LEC)和蔗糖脂肪酸酯-单硬脂酸甘油酯(SE15-GMS)对改善大豆分离蛋白的溶解性有显著效果,最佳添加量分别为0.5%,1%,0.05%和1%。本文还测定了这些表面活性剂对大豆分离蛋白溶液表面张力和流变学特性的影响,发现非离子型表面活性剂及其组合(即SE15、GMS、GMS-SE15)能提高SPI的溶解性、黏度,同时降低其表面张力。此时溶解性与黏度呈正相关关系,与表面张力呈负相关关系。两性表面活性剂LEC可有效降低大豆分离蛋白的表面张力,提高溶解性,降低黏度。

关键词：大豆分离蛋白表面活性剂溶解性表面张力流变学特质

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