目的探讨肌电图检测对糖尿病周围神经病的诊断价值。方法以该院2011年8月—2013年10月期间收治的60例糖尿病患者为研究对象,所有患者均行感觉神经传导速度(scv)及运动神经传导速度(mcv)测定。统计患者神经肌电图的检查结果,并对比分析肌电图对糖尿病周围神经病的诊断率与临床诊断率。结果该组60例患者中,腓总神经传导速度异常率为48.33%,胫神经传导速度异常率为55%,正中神经传导速度异常率为38.33%,尺神经传导速度异常率为60%。肌电图对糖尿病周围神经病的诊断率为65%(39/60);临床诊断糖尿病周围神经病的诊断率为38.33%(23/60),两者比较,差异有统计学意义(P0.05)。结论肌电图检测有利于提高糖尿病周围神经病的诊断率,值得临床推广与应用。

Objective to observe the value of electromyogram in the diagnosis of diabetic peripheral neuropathy. Methods 60 cases of diabetic patients in our hospital from 2011 August to 2013 October were treated as the object of study; all patients had sensory nerve conduction velocity (SCV) and motor nerve conduction velocity (MCV) determination. Statistics were nerve EMG examination results, at the same time, comparative analysis the diagnosis rate of electromyography in diabetic peripheral neuropathy and clini-cal diagnosis rate. Results: of the 60 patients, the abnormal rate of common peroneal nerve conduction velocity was 48.33%, the abnormal rate of tibial nerve conduction velocity was 55%, the rate of abnormal nerve conduction velocity of median nerve was 38.33%, and the abnormal rate of ulnar nerve conduction velocity was 60%. 肌电图对糖尿病周围神经病的诊断率为 65%(39/60);Electromyography in the diagnosis of diabetic peripheral neuropathy was 65%(39/60);临床诊断糖尿病周围神经病

为解决协同诊断建模技术上的动态可视化弱、协同组织难度大等问题,引入可视化技术,提出一种"可视化诊断行为"的诊断方法,在此基础上完成基于诊断行为的协同诊断可视化平台架构设计。根据协同诊断系统的诊断过程特点及实时显示需要,抽象出与"诊断行为"方法相关的主要模型元素:诊断对象、诊断人员、诊断设备和诊断方法;在此基础上,进行相应的可视化诊断模型元素的设计及可视化系统相应功能模块定义。通过某民用航空发动机涡轮转子工作失效的实例,验证了该平台的可行性和正确性。

Traditional techniques of the collaborative diagnosis modeling usually lead to poor dynamic visualization and difficulties in collaborative organization .To solve these problems ,by introducing the visualization technique and proposing a diagnostic method for the visual diagnosis behavior ,a visualization platform for the collaborative diagnosis was established based on diag-nostic behaviors .Firstly according to the diagnostic process characteristics and real-time display needs of the collaborative diagno-sis system ,the main model elements of the diagnostic method for diagnosis behaviors were abstracted including diagnostic ob-jects ,staffs ,equipments and methods .Moreover ,functional modules were defined for the visualization system of collaborative diagnosis and the corresponding model elements were designed for the visualization diagnosis .Finally the visualization platform for the collaborative diagnosis is proved to be reliable and correct through the fail diagnosis o

由于轨道电路的性能受环境因素的影响较大,其故障的发生具有较大的随机性和模糊性,而单一诊断方法因考虑角度的片面性以及知识库的不完善性,往往很难满足轨道电路故障诊断的实际需求。鉴于单一诊断方法存在的不足,本文根据模糊故障诊断法、遗传算法和灰色系统理论3种诊断方法各自的诊断结果,构造最优组合模型,对25Hz相敏轨道电路进行故障诊断。诊断结果表明,利用组合模型对轨道电路故障进行诊断可以克服单项诊断方法信息单一、诊断片面等不足,具有更高的故障诊断准确度。

Because track circuit performance is strongly influenced by environmental factors , the occurrence of faults is of great randomness and fuzziness . In view of one-sided the approach to problems and imperfection of the knowledge base , the single diagnosis method usually cannot meet the actual track circuit fault diagnosis re-quirements . Aiming at the insufficient of single diagnosis method , according to the respective diagnosis results of the fuzzy fault diagnosis method , genetic algorithm and grey system theory , the optimal combination model for fault diagnosis of track circuits was made and applied to the 25 Hz phase-sensitive track circuit . The diag-nostic results indicate that the combination model can overcome the insufficiency of singularity of information and one-sided diagnosis of the single diagnosis method and achieve higher diagnosis accuracy .

目的：为了进一步研究和比较临床诊断阴道出血过程中采用经阴道和腹部超声联合诊断技术的实际效果，从而为临床诊断过程提供依据。方法：本文选取2012年1-8月本院收治的阴道出血患者95例为研究对象，分别采用腹部超声诊断及经阴道和腹部超声联合诊断方法对患者进行诊断，并将诊断结果与病理诊断结果进行对照。结果：在内膜增生、内膜息肉、黏膜下肌瘤、内膜癌、萎缩性内膜等类型的阴道出血上，采用经阴道和腹部超声联合诊断方法与病理诊断结果的符合率高于采用腹部超声诊断方法的符合率，但差异无统计学意义（P>0.05）。结论：在临床诊断阴道出血的实践过程中与传统的诊断方法相比较，采用经阴道和腹部超声联合诊断技术具有一定优势，与病理诊断结果的符合程度更好，是临床诊断阴道出血的可靠选择。

Objective:In order to further study and compare the clinical diagnosis of abdominal ultrasound technology adopted during vaginal bleeding and vaginal and abdominal sonography of the practical effects of the combined diagnosis technology so as to provide basis for the clinical diagnosis process. Method:95 cases of vaginal bleeding from January to August in 2012 in our hospital were chosen as the research object. They were taken with the abdominal ultrasound diagnosis and the combined vaginal and abdominal ultrasound diagnosis method for diagnosis. The diagnosis and pathological diagnosis results were taken for contrast comparison and research. Result:In endometrial hyperplasia,endometrial polyps and submucous myoma,endometrial carcinoma,and atrophic endometrium types of vaginal bleeding,using abdominal ultrasound diagnosis and the combined vaginal and abdominal ultrasound diagnostic method with the pathological diagnosis coincidence rate was significantly higher than the use of abdomina

结合电网故障诊断的研究目标、数据源、常用方法、典型应用及其应用情况的发展变化，阐述了电网故障诊断的研究历程；综述了基于专家系统、人工神经网络、优化算法等常见诊断方法，论述了不同方法在电网故障诊断过程中的特点、诊断原理及缺点；归纳了当前诊断常用的建模方式及系统架构；结合智能电网需求及故障诊断的应用现状，展望了电网故障诊断的发展方向，指出影响电网故障诊断系统实用化的关键因素在于电网故障诊断系统如何适应复杂的数据环境、复杂电网故障中保护动作行为的分析、在线诊断系统的自动建模与维护以及如何完整重现故障诊断过程。

Combining with the research goal, data source, common methods, typical application of power grid fault diagnosis and the situation of its application, the research course of power grid fault diagnosis is expounded;the frequent diagnosis methods based on expert system, artificial neural network and optimization algorithms are summarized, and the features, diagnosis principle and defects of different diagnosis methods during power grid fault diagnosis are discussed;common modeling modes and system structure for present diagnosis are concluded; and the development trend of power grid fault diagnosis is prospected. It is pointed out that the key factors impacting the practicality of power grid fault diagnosis system lie in following aspects:how to make power grid fault diagnosis system suitable to complex data environment, the analysis on action and behavior of protective devices during complex fault, automatic modeling and maintenance of online fault diagnosis system and how to reappear f