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.     

铜合金实验室试验与实海挂片结果的比较与分析

目的比较实验室试验结果与实海挂片结果对B10和H62两种铜合金腐蚀性能评价的异同之处。方法采用线性极化、电化学阻抗、显微形貌观察等,比较两种铜合金在实验室模拟海水中的的腐蚀速率、点蚀倾向,结合反应机理、腐蚀形貌、环境等外部因素,分析导致实验室与实海环境下出现差异的原因。结果除榆林海域外,实海挂片与实验室结果都表明,B10试样的平均腐蚀速率小于H62。B10和H62两种铜合金随温度升高腐蚀速率增大,在实验室和实海情况下表现出一致性,且平均腐蚀速率都随浸泡时间的延长而降低。结论在实海环境中,温度不是影响点蚀的主要因素,微生物等其他环境因素会对点蚀产生较大影响。     

生物硝化池污水中硝化细菌的快速定量研究

实验采用聚合酶链式反应（PCR）技术与最大几率数法（MPN）相结合的MPN－PCR法对生物硝化池污水中的硝化细菌进行快速定量。所用的一对PCR引物是在对硝化细菌的16SrRNA基因进行系统比较的基础上设计合成的，可以扩增出大小为388bp的DNA片段。以从生物硝化池污水中抽提的含硝化细菌DNA的混合DNA为模板，进行PCR扩增并确定合适的扩增条件。运用MPN－PCR法进行定量检测的整个过程可在几小时之内完成。     

电解制备聚合铝过程中Alb形态生成条件研究

考察了电解法制备聚合铝过程中AIb的最佳形成条件。AIb的形成与电流密度、极板间距、电解液的温度、铝的浓度以及电解时间等因素有关。在制备AI浓度为2．0mol/L的聚合氯化铝时，最佳的电流密度和极板间距分别为1．1A／dm^2和10mm。由于电化学过程中产生的不均匀的界面pH差值较大而生成较多的AI（OH）4^-作为AIb结构的结晶核心，因此能形成更多的AIb聚合形态。     

相关分析在大气优化布点过程中的成功演绎

通过相关指数在广东省城市大气环境监测省控站优化组筛选中的实践和探究,表明相关分析是个简单、实用、有效的方法,具有参考和应用价值。     

脲酶抑制法检测环境样品中重金属离子研究

为探索利用脲酶快速检测环境样品中重金属离子的最佳条件，系统研究了重金属和缓冲液类型及其浓度对脲酶抑制率的影响。结果表明，不同浓度缓冲液中重金属离子浓度与脲酶抑制率呈显著的相关性，表现为随着重金属离子浓度的增加，脲酶抑制率也提高。缓冲液类型和浓度均能影响重金属对脲酶的抑制作用，其中磷酸缓冲液中，无论是Hg^2 还是Cu^2 对脲酶活性均有较强的抑制作用：在柠檬酸缓冲液中2种离子对脲酶的抑制作用存在显著差异。建立脲酶抑制检测技术的关键是选择合适的缓冲系统。此结果为脲酶抑制法在快速检测重金属离子中最佳检测条件的选择提供了理论依据。