PLS-based EWMA fault detection strategy for process monitoring

Fault detection (FD) and diagnosis in industrial processes is essential to ensure process safety and maintain product quality. Partial least squares (PLS) has been used successfully in process monitoring because it can effectively deal with highly correlated process variables. However, the conventional PLS-based detection metrics, such as the Hotelling's T² and the Q statistics are ill suited to detect small faults because they only use information from the most recent observations. Other univariate statistical monitoring methods, such as the exponentially weighted moving average (EWMA) control scheme, has shown better abilities to detect small faults. However, EWMA can only be used to monitor single variables. Therefore, the main objective of this paper is to combine the advantages of the univariate EWMA and PLS methods to enhance their performances and widen their applicability in practice. The performance of the proposed PLS-based EWMA FD method was compared with that of the conventional PLS FD method through two simulated examples, one using synthetic data and the other using simulated distillation column data. The simulation results clearly show the effectiveness of the proposed method over the conventional PLS, especially in the presence of faults with small magnitudes.     

井下光谱多参数分析系统开发

本系统基于气体浓度光学分析方法理论朗伯-比尔(Lambert-Beer)定律、光谱气体检测技术开发,实现了对煤矿火灾与瓦斯灾害超前预警、灾害产生的有毒有害气体实时监测和煤矿环境气体爆炸危险性辨识,对于煤矿灾害防治、救灾过程中杜绝次生灾害,保障煤矿工人及救护队员的生命安全,促进煤矿安全生产具有重要意义。     

SELECTING TREND TESTS FOR WATER QUALITY SERIES WITH SERIAL CORRELATION AND MISSING VALUES1

ABSTRACT: The use of nonparametric tests for monotonic trend has flourished in recent years to support routine water quality data analyses. The validity of an assumption of independent, identically distributed error terms is an important concern in selecting the appropriate nonparametric test, as is the presence of missing values. Decision rules are needed for choosing between alternative tests and for deciding whether and how to pre-process data before trend testing. Several data pre-processing procedures in conjunction with the Mann-Kendall tau and the Seasonal Kendall test (with and without serial correlation correction) are evaluated using synthetic time series with generated serial correlation and missing data. A composite test (pre-testing for serial correlation followed by one of two trend tests) is evaluated and was found to perform satisfactorily.     

江汉平原粮食开发必须走优质高产高效的道路

分析江汉平原粮食生产的优势与问题,运用商品经济的观念,提出改革开放新形势下加快江汉平原粮食开发的设想,即依托市场,按照价值规律,科学地调整种植业比例和粮食种类结构,发展优质品种,扩大优化模式及采用高新技术等,通过优质、高产、高效,促进江汉平原粮食生产的发展。     

高原高寒污水处理系统的微生物群落特征

为研究高原高寒污水处理系统活性污泥的微生物群落结构及多样性,以拉萨、云南、四川的3座高原污水厂作为实验组,同时以重庆2座非高原污水厂作为对照,采用PCR-DGGE技术对比分析了高原与非高原污水厂的微生物特性.研究表明：高原污水厂样品与非高原样品在聚类中展现出了较为疏远的关系,微生物群落区别明显.受强紫外线辐照的抑制,高原高寒污水处理系统微生物多样性的平均水平显著低于非高原污水厂,较低的微生物多样性是导致高原高寒地区污染物去除效果不佳的一项重要原因.群落构成方面,共鉴定出16个优势菌属,对应Proteobacteria、Bacteroidetes、Firmicutes、Verrucomicrobia 4个门.组间差异分析结果发现,高原组中丰度显著偏高的菌属只有Prosthecobacter,该菌在污水厂内分布广泛,且能够适应高原低温的条件.对于大多数活性污泥微生物而言,高原强紫外线是不利的生存条件.因此,减少高原露天污水处理系统的紫外辐照,是提升污水处理效能的一个潜在措施.     

基于模糊PI控制的瞬态高温控制策略研究

目的通过地面环境试验研究气动热引起的瞬态高温环境对飞行器结构的影响。方法设计基于石英灯和离心机的瞬态高温-加速度复合试验系统,研究温度和加速度同步控制系统的结构和原理,分析无制冷装置环境下瞬态高温控制的难点,提出基于模糊PI控制器的温度控制策略。结果通过MATLAB仿真验证,设计的模糊PI控制器相比传统的PI控制器能够有效提高温度控制的动态性能与精确性。结论将基于模糊PI控制的瞬态加热控制策略应用于瞬态高温控制是可行、有效的,能为地面气动热模拟环境试验提供技术保障。     

基于静止卫星GOCI传感器的大气污染过程AOD监测

针对北京及周边地区2017年11月2~8日的一次污染过程,利用韩国静止卫星COMs1GOCI数据,对北京地区进行AOD监测.AOD反演采用时间序列迭代算法,根据地表反射率随时间慢变而大气气溶胶随时间快变的理论,采取最小值拟合的方式,获取气溶胶光学厚度数据.反演结果与地基AERONET监测结果具有很好的一致性,两者的相关系数R²大于0.89.AOD监测结果表明,GOCI传感器1次/h的监测频率,可以很好地展现北京地区大气污染过程的开始,发展及消散过程,可以展示出一天之内AOD的变化,为大气污染监测以及气候变化研究提供依据.     

高温条件下高速碰撞试验技术研究

目的建立高温条件下结构的高速碰撞试验技术。方法基于理论和试验方法,研究影响试样加热/保温、碰靶速度和姿态的关键因素,利用次口径发射技术和电炉技术实现试样的加热、保温和加速。采用间接方法测试试样碰靶时的温度,联合应用次口径发射技术和靶体,控制试样的碰靶姿态,并利用高速摄影技术对其进行测试。通过薄壁圆柱筒的高温高速碰靶验证高温试验技术的有效性。结果建立了加热、加速和姿态控制一体化的高温高速碰撞试验技术,获得了不同尺寸薄壁圆柱筒不同姿态碰靶时的高温冲击动力学响应。正碰时,撞击端镦粗,尾端收缩,尾端的凹陷大于碰撞端的变形;侧碰时,圆筒呈马鞍状;角碰时的变形为楔形。随着圆筒的强度和刚度的降低,圆筒的变形增加,整体发生坍塌,出现大量的皱褶。结论建立的试验技术切实有效,可以用于高温条件下结构高速碰撞效应的研究。