Consistency analysis of accelerated degradation mechanism based on gray theory

A fundamental premise of an accelerated testing is that the failure mechanism under elevated and normal stress levels should remain the same. Thus, verification of the consistency of failure mechanisms is essential during an accelerated testing. A new consistency analysis method based on the gray theory is pro- posed for complex products. First of all, existing consistency ana- lysis methods are reviewed with a focus on the comparison of the differences among them. Then, the proposed consistency ana- lysis method is introduced. Two effective gray prediction models, gray dynamic model and new information and equal dimensional （NIED） model, are adapted in the proposed method. The process to determine the dimension of NIED model is also discussed, and a decision rule is expanded. Based on that, the procedure of ap- plying the new consistent analysis method is developed. Finally, a case study of the consistency analysis of a reliability enhancement testing is conducted to demonstrate and validate the proposed method.     

Evidence for self-organized criticality in unscheduled downtime data of equipment

How to reduce downtime and improve availability of the complex equipment is very important. Although the unscheduled downtime（USDT） issues of the equipment are very complex, the self-organized criticality（SOC） is the right theory to study complex systems evolution and opens up a new window to the investigation of disasters, such as the sudden failure of the equipment. Firstly,SOC theory and its validation method are introduced. Then an SOC validation method for USDT of the equipment is proposed based on the above theory. Case study is done on bottleneck equipment in a factory and corresponding data pre-process work is done. The rescaled-range（R/S） analysis method is used to calculate the Hurst exponent of USDT time-series data in order to determine the long-range correlation of USDT data on time scale;at the same time the spatial power-law characteristic of USDT time series data is studied. The result shows that the characteristics of SOC are revealed in USDT data of the equipment according to the criterion of SOC. In addition, based on the characteristics of SOC,the overall framework of the prediction method for major sudden failure of the equipment is proposed based on SOC.     

不同钙质原料对干式振动料性能的影响

采用新型环保复合结合剂和引入无水化钙质材料(石灰石、白云石、消石灰等)作为CaO源原料,研究开发环保型抗水化镁钙质干式料.结果表明, 钙质原料的种类、粒度和数量对干式料性能影响很大.加入部分石灰石颗粒,采用环保型结合剂可制得具有较好物理性能的干式料,其中粒度为3～1mm和1～0mm的石灰石加入量分别为5%和30%时,试样获得了较好的综合性能,是一种理想的CaO源材料.     

粒度组成对KR搅拌头用浇注料性能的影响

以Andreassen颗粒紧密堆积理论为基础,研究KR搅拌头外衬莫来石浇注料临界粒度和粒度组成对其密度、强度和热震稳定性的影响.结果表明,随着临界粒度的增大,浇注料干燥和烧结后冷态密度与强度均明显提高;临界粒度一定时,粒度组成对浇注料冷态密度、强度以及热震稳定性的影响基本一致,但临界粒度不同的浇注料试样达到最佳性能所对应的粒度组成并不完全相同;与冷态性能相比,浇注料热震稳定性受临界粒度的影响较小.     

疑源类的早期辐射及其意义

通过对元古宙至寒武纪早期疑源类的分析研究表明：新元古代早期和晚期疑源类的辐射分别与全球范围内超级大陆（rodinia)形成及海洋中锶同位素^87Sr/^86Sr值显著上升，陆源物质增加，δ^13C值由负值转为正值的时期相吻合；早寒武世疑源类的辐射与超级大陆（pannotia)的形成、裂解对全球环境的影响有关。认为疑源类在早寒武世的适应辐射，改变了全球生物的营养结构，“中型浮游动物”对小个体棘刺疑源类的有效利用，可能是引发“寒武爆发”的原因之一。     

基于神经网络技术自动筛选Monastrol抑制剂的算法研究

带自动荧光显微镜的HCS（high content screening）系统是一种新兴的显微摄影、筛选和处理系统.HCS系统在摄影过程中会产生大量数据,人工筛选和识别费时费力.本文为了进行Monastrol抑制剂的筛选,基于前馈式神经网络技术研究了一种对HCS系统摄影的大量细胞同时进行特征提取和细胞显型识别的自动算法.在得到各个通道分离的图像后,对不同通道图像进行并行预处理,并采用神经网络和逻辑运算相结合的算法进行处理.我们将该方法运用于Monastrol抑制剂的筛选中,并将结果与人工识别结果进行分析比较.相比较前人提出的multi-phenotypic mitotic analysis（MMA）算法自动识别的正确率得以提高,可更好评估抗癌药剂效用.     

大学生耐力性素质练习的价值及对策研究

文章针对当前学生耐力素质的现状,运用文献资料调研法,旨在阐明耐力素质的重要性,并就如何科学合理地运用方法手段,提高学生的耐力素质,以促进学生身体素质的全面发展.     

门式刚架轻型房屋钢结构设计优化探讨

轻钢结构近年来在我国得到了迅速发展,各部门也出台了不少相应的规范。然而,部门规范条文间有所不同,为合理的设计带来了不便。文章从我国当前的规范出发,结合轻钢结构工程设计实践中遇到的实际问题,提出了解决思路以供广大设计人员参考。     

多缓冲机制下ADPCM解码算法适应性研究

文章对不同缓冲机制下ADPCM解码算法的运行条件进行了分析与对比,利用最小二乘法,提出关于ADPCM解码函数输入数据量与函数输入缓冲区长度的条件关系式,量化了不同缓冲机制对算法适应性的影响;针对实验环境的特点,改进了IMA ADPCM解码算法.研究结果表明,采用多缓冲机制能显著提高ADPCM算法的适应性;改进后的解码算法效率较原算法提高约75%.     

铁碳内电解法深度处理焦化废水的研究

采用铁碳内电解方法对焦化废水进行了深度处理研究,考察了pH值、反应时间、铸铁屑和颗粒活性炭的投加量对反应效果的影响,并通过L（934）正交试验,确定了最佳反应条件。