考虑寄生参数的隔离型双有源桥DC-DC变换器的开关开路故障分析与容错控制策略

双有源桥(DAB)DC-DC变换器开关管的驱动电路故障导致开关开路故障(OCSF),这使得DAB系统拓扑对称性缺失、高频电压和电流发生畸变和直流偏置,进而对系统的可靠性和长期运行稳定性造成不良影响.对此,研究DAB开关管和高频变压器寄生参数对OCSF后系统运行状态的影响,以完善DAB故障分析体系.针对OCSF问题,提出一种基于对称拓扑和对偶原理的故障容错策略,通过闭锁开关使系统运行拓扑恢复对称,并在此基础上提出一种不改变控制器参数、只需改变控制器输出饱和参数的实用控制方法,并在理论上讨论了该方法的可行性.最后,通过实验验证了OCSF模态分析及所提容错控制策略的正确性.     

一种基于CGAN-CNN的同步电机转子绕组匝间短路故障诊断方法

由于同步电机故障样本数量较少,为解决同步电机故障诊断中普遍存在的样本不平衡问题,提出了一种基于条件生成式对抗网络(CGAN)和卷积神经网络(CNN)的同步电机转子绕组匝间短路故障诊断方法.首先,对传感器收集到的数据进行预处理,对正常样本和故障样本分别添加标签后输入CGAN中生成大量新样本,将生成的新样本与原始样本混合并划分训练集和测试集;然后,利用CNN训练平衡后的数据集,充分、精准地提取有效故障特征;最后,在输出端利用Softmax分类器输出故障分类结果.通过实验证明,与非平衡数据集相比,利用平衡数据集后的故障识别准确率十分稳定且达到99.5％以上,同时与平衡的原始样本数据相比,生成样本避免了噪声和其他干扰,故障诊断的准确率也更高.     

Current Diagnosis and Treatment Options for Cutaneous Adnexal Neoplasms with Follicular Differentiation

Neoplasms derived from follicular tissue are extremely rare. Clinically, they are reported as non-symptomatic, slow-growing nodules. These lesions are mainly benign, but the malignant type can occur. Mainly middle-aged people (50–60 years of age) are affected. These carcinomas are mainly localized on the head and neck or torso. They can be locally aggressive and infiltrate surrounding tissue and metastasize to regional lymph nodes. In the minority of cases, distant metastases are diagnosed. Quick and relevant diagnosis is the basis of a treatment for all types of tumors. The patient’s life expectancy depends on multiple prognostic factors, including the primary tumor size and its mitotic count. Patients should be referred to a specialized skin cancer center to receive optimal multidisciplinary treatment. This article tries to summarize all the information that is currently available about pathogenesis, diagnosis, and treatment methods of follicular tumors.     

Vibrational Spectroscopy in Assessment of Early Osteoarthritis—A Narrative Review

Osteoarthritis (OA) is a degenerative disease, and there is currently no effective medicine to cure it. Early prevention and treatment can effectively reduce the pain of OA patients and save costs. Therefore, it is necessary to diagnose OA at an early stage. There are various diagnostic methods for OA, but the methods applied to early diagnosis are limited. Ordinary optical diagnosis is confined to the surface, while laboratory tests, such as rheumatoid factor inspection and physical arthritis checks, are too trivial or time-consuming. Evidently, there is an urgent need to develop a rapid nondestructive detection method for the early diagnosis of OA. Vibrational spectroscopy is a rapid and nondestructive technique that has attracted much attention. In this review, near-infrared (NIR), infrared, (IR) and Raman spectroscopy were introduced to show their potential in early OA diagnosis. The basic principles were discussed first, and then the research progress to date was discussed, as well as its limitations and the direction of development. Finally, all methods were compared, and vibrational spectroscopy was demonstrated that it could be used as a promising tool for early OA diagnosis. This review provides theoretical support for the application and development of vibrational spectroscopy technology in OA diagnosis, providing a new strategy for the nondestructive and rapid diagnosis of arthritis and promoting the development and clinical application of a component-based molecular spectrum detection technology.     

电网故障处置预案文本中的命名实体识别研究

电网故障处置预案是电网故障处置的重要参考,对电网故障处置预案文本中各类电力设备、名称编号等细粒度的关键实体信息进行抽取,是实现计算机学习理解预案内容并进一步支撑故障处置智能化的重要基础。文中提出一种基于深度学习的电网故障处置预案文本命名实体识别技术,首先采用字向量表征预案文本,然后将注意力机制以及双向长短期记忆网络相结合,有所侧重地提取实体词深层字符特征,最后采用条件随机场求解最优序列化的标注。算例表明:文中所提预案文本命名实体识别模型不依赖人工特征,能够自动高效地提取文本特征,准确识别预案文本中细粒度的实体词,满足预案文本中关键实体信息精确定位和识别的要求。     

具有直流故障穿越能力的模块化多电平换流拓扑推演与对比

直流故障具有影响范围广、故障电流大的特征,已成为制约直流系统发展的重要因素之一。模块化多电平换流器可通过配置双极性子模块实现直流故障穿越,但相比于基于半桥子模块的拓扑,其建造成本与运行损耗均大幅增加。为寻求兼顾硬件成本、运行效率与直流故障穿越能力的模块化多电平换流拓扑,首先通过拓扑抽象定义与模块配置约束,遍历并推导出4大类共13种模块化多电平换流拓扑;进而优选出T型桥臂交替多电平换流器,并提出桥臂移相导通调制,实现其高效功率变换与直流故障穿越的兼顾;最后,计及硬件成本、运行损耗、可靠性与可实现性等维度,对各类具有直流故障穿越能力的拓扑进行了系统性对比,为具有故障穿越能力需求的交直流变换场景提供模块化多电平换流拓扑的选择依据。     

基于改进LMD和能量相对熵的主动配电网故障定位方法

针对配电网发生单相接地故障且分布式电源（distributed generations, DGs）大量接入后,配电网结构和运行方式复杂多变、故障后电气量不明显、故障特征弱等特点,提出一种基于改进局部均值分解（improved local mean decomposition, ILMD）和能量相对熵的主动配电网故障定位方法。首先,利用镜像延拓将信号在两端延拓,消除LMD存在的端点效应,同时,在信号中加入自适应噪声,克服LMD存在的模态混叠问题,对各区段暂态零序电流进行ILMD分解;然后对分解后所有乘积函数（product function, PF）的能量相对熵进行计算,所有PF分量的相对能量熵之和即为区段间的相对能量熵,通过所设置的定位判据,对故障区段进行判断。仿真结果表明,所提算法在10 kV小电流接地系统和改进的IEEE33节点系统中,在不同的仿真条件下故障定位结果准确率高,验证了所提方法的准确性。     

基于多变量解耦控制的配电网单相接地故障集成化柔性消弧方法

随着静止无功补偿装置、柔性消弧装置、大功率逆变器等电力电子装备应用逐渐增多,配电网柔性化加快发展,但已有电力电子装备存在功能单一、成本高等问题.基于直流侧并接储能元件的直挂式级联H桥变流器,将多变量解耦控制方法与电流消弧方法相结合,实现柔性电力电子装备输出电流在dq0坐标系下的独立调节,使单套柔性电力电子装备同时集成配电网有功功率、无功功率双向流动控制,以及单相接地故障柔性消弧功能,有效提高电力电子装备的利用效率.理论分析以及功率控制和单相接地故障消弧建模仿真结果验证了所提方法的可行性.     

考虑样本类别不平衡的电网故障事件智能识别方法

电网中不同设备的故障概率存在差异,影响智能诊断技术的准确性.为解决此问题,提出了一种基于代价敏感学习和模型自适应选择融合的电网故障事件智能识别方法.首先,利用Word2vec模型将预处理后的电网告警信息向量化,并搭建2个双向长短期记忆网络作为基础分类器;然后,设计代价敏感损失函数,将交叉熵损失函数与代价敏感损失函数分别应用于2个分类器中;最后,提出一种模型自适应选择融合法,融合上述分类器,得到故障事件识别结果.实际数据测试表明,所提方法能够有效降低故障事件识别中样本类别不平衡的影响.     

玲珑金矿田含矿断裂的基岩地球化学特征及找矿潜力评价

基岩地球化学方法广泛应用于地质找矿与生产实践,是开展深部找矿预测最直接的方法和手段。通过对玲珑金矿田井下含矿断裂和招平断裂的基岩剖面地球化学特征进行系统研究,得出以下认识：玲珑金矿田原生晕最佳指示元素组合为Au、Ag、Bi、As和Co,且Au-Ag、Au-Bi、Au-As及Au-Co元素之间呈较好的幂指数正相关。根据玲珑金矿田已探明矿脉最佳指示元素组合的统计结果,结合招平断裂基岩剖面地球化学测量结果,发现招平断裂在地表有2处金矿化异常,推测其为矿致异常,反映出该地段具有较好的找矿潜力,特别是前花园村东1021剖面中异常找矿潜力更大。