基于多信号模型和盲源分离的复合故障诊断方法

利用多信号模型可简明表征系统因果关系以及盲源分离算法可提取系统本源信息的特点, 提出一种新颖有效的复合故障诊断方法. 首先, 针对复合故障下多信号模型出现冗余测试和故障模糊组的情况, 应用盲源分离算法实现测点信息的盲分离, 基于盲信号重建多信号模型的因果结构; 其次, 理论分析了该方法对复合故障具有良好的可诊断性. 轧制过程AGC系统的实验结果表明, 所提出方法对双复合故障和部分多复合故障的隔离和定位准确率可达100%.

     

135MW机组一次调频功能优化

介绍云浮发电厂#4机组一次调频功能的基本原理。通过试验,发现一次调频功能存在问题,经过分析,对控制逻辑和参数进行修改,解决了存在问题,并使DCS侧的一次调频功能与DEH侧的功能很好地配合,在不影响机组稳定运行下完全有能力参与一次调频。     

基于身份的分布式卫星网络私钥管理方案

针对卫星网络节点私钥分量更新过程的消息墓改攻击威胁,提出了双重数据加密方案,以保障私钥分量更新 过程中数据的完整性。为防止拥有合法身份恶意节点发起的强制私钥分量更新申请,建立了节点私钥分量更新申请 时刻合法性判断机制,以抵制拥有合法身份的恶意节点发起的拒绝服务攻击。最后,对比分析了方案的安全性和计算 复杂度,结果表明,通过引入较低的额外计算开销实现了有效抵御节点私钥分量更新过程的消息墓改攻击和拒绝服务 攻击.     

改进的LCS方法在测试脚本序列比对中的应用

在自动化测试中,需要对录制和回放过程中的请求序列进行解析和比对,帮助用户进行脚本的修正和完善。为了实现请求序列的比对,采用最长公共子序列(LCS)算法对录制和回放的序列进行比较,其核心思想是把序列对比转化成图论问题,通过二维矩阵寻路来找到最优的匹配方式。文中对算法的原理和实现做了详细描述,并对算法的性能进行测试和分析,最后将算法应用到软件脚本修改器中,验证算法在自动化测试实际应用中的效果。结果表明,LCS算法可以高效地对序列进行解析和比对,提高了自动化测试的效率。     

有机化合物立体异构体自动解析专家系统的研究——立体中心的确认

提出了一种查找化合物中立体中心的算法 ,通过该算法可以找到和确认化合物中由于不对称碳和碳碳双键等产生的所有的立体中心。     

光针式位移传感器聚焦伺服控制系统的设计

通过对光针式位移传感器的执行机构即音圈电机的静动成特怀的分析和测试,在伺服控制系统因路中引入ＰＩＤ校正器,使聚焦伺服系统的稳定性、快速性和准确性等性能都达到良好的应用要求。     

Large-scale protein identification of human urine proteome by multi-dimensional LC and MS/MS

Urine is a human specimen that is easily obtained non-invasively for clinical diagnosis. We attempted to enhance the resolution of current human urine proteomes and construct a comprehensive reference database for advanced studies, such as the discovery of biomarkers for renal diseases. Multi-dimensional LC-MS/MS was coupled with de novo sequencing and database matching. The proposed approach improved the identification of not only the proteins, but also the post-translational sites of urinary proteins. We identified 165, 200 and 259 unique gene products in the urine proteomes from males, females and pregnant women, respectively. When all of the results were combined and the redundancies removed, a total of 1095 distinct peptides were identified. Of these, 1016 peptides were associated with 334 unique gene products. In this study, over 100 gene products, including some disease-related proteins, were detected in urine for the first time by proteomic approaches. Various proteins with novel post-translational hydroxylation were identified using the MASCOT program and de novo sequencing. All proteins with peptide information were summarized into a comprehensive urine protein database. We believe that this comprehensive urine proteome database will assist in the identification of urinary proteins/polypeptides whose spectra are difficult to interpret in the discovery of urinary biomarkers.     

粉煤灰磁化肥对杂交水稻效应研究

粉煤灰磁化肥在水稻土上对水稻作物试验结果表明：粉煤灰磁化肥在水稻土上一般用量为９２６ｋｇ／ｈｍ２左右．粉煤灰磁化肥比对照增产２７．７％,增产１９７７．８ｋｇ／ｈｍ２;比当地农民习惯施肥增产１０．６％,增产８７０ｋｇ／ｈｍ２;　比未磁化粉煤灰复混肥增产５．９％,增产５０７　ｋｇ／ｈｍ２．最高产量施用粉煤灰磁化肥为１１６９　ｋｇ／ｈｍ２,水稻产量为９２５３　ｋｇ／ｈｍ２;最佳产量施用粉煤灰磁化肥为９２６　ｋｇ／ｈｍ２,水稻产量为９１３１　ｋｇ／ｈｍ２．粉煤灰磁化复混肥在改善水稻生物学及经济性状,提高叶绿素含量和光合速率方面有显著的效应．