Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.     

A taxonomy of performance influencing factors for human reliability analysis of emergency tasks

This paper introduces the process for, and the result of, the selection of performance influencing factors (PIFs) for the use in human reliability analysis (HRA) of emergency tasks in nuclear power plants. The approach taken in this study largely consists of three steps. First, a full-set PIF system is constructed from the collection and review of existing PIF taxonomies. Secondly, PIF candidates are selected from the full-set PIF system, considering the major characteristics of emergency situations and the basic criteria of PIF for use in HRA. Finally, a set of PIFs is established by structuring representative PIFs and their detailed subitems from the candidates. As a result, a set of PIFs comprised of the 11 representative PIFs and 39 subitems was developed.     

基于熵权-HDT的航空器维修人误概率确定

人误是造成民用航空维修差错的主要因素。为确定不同情境下人误发生概率,结合某维修基地具体情况,采用熵权法确定主要的影响因子,并基于全决策树法分析主要影响因子对航空器维修人误概率的影响程度。计算结果显示,该维修基地人因可靠性的主要影响因子包括航空器维修人员的安全态度、技能、沟通、工作环境、压力以及工段长领导能力。根据各主要影响因子的不同品质描述等级组合,确定该情境下航空器维修人员的人误概率。鉴于该维修基地人因可靠性影响最明显的因子是"沟通",提出信息及时交流、明确沟通重要性等解决措施。     

基于HERA-JANUS模型的空管人误认知分析

空管人误分类分析是空管人误研究的基础。为了对管制员人误进行系统的分类研究,结合空管业务知识和认知心理学理论,对欧洲航空安全局和美国联邦航空局合作开发的HERA-JANUS模型的工作原理和流程进行较详细地分析。运用该方法模型,对我国一起空管不安全事件案例进行分析后得到3个由管制员所产生的人误差错,并对这3个人误差错分别从人误类型、人误认知、相关因素3方面进行详尽的分析研究,最后得出该不安全事件的21项人误结果。结果表明,HERA-JANUS模型能较全面地从深层次分析管制员的人误,其分类形式也便于开展空管人误统计。     

飞行员人因可靠性定量预测

为有效预测飞行员的人因可靠性,以保障飞行安全,基于认知可靠性与失误分析法(CREAM)的扩展法,建立飞行员人因可靠性定量预测模型。依据飞行员的任务特点,调整认知行为及认知功能。通过优化共同绩效条件(CPC)因子水平等级,并增加新的因子,改进CPC因子依赖规则,用于修正因子的初始评估结果,解决扩展法未考虑因子间关系的问题,从而完成模型的建立。利用回看分析法验证模型的有效性,采用所建立的模型和扩展法分别对已发生的飞行案例进行预测,并与实际发生结果对比分析。结果表明,与扩展法相比,采用飞行员定量预测模型得到的预测结果与案例发生结果所反映的控制模式更为匹配。     

煤矿照度对人反应时间和可靠度的影响研究

煤矿综采工作面狭窄,工作环境昏暗,照明环境普遍不好,是近年来井下事故多发的重要因素之一。针对目前煤矿综采工作面存在的照度问题,通过控制光照时间和操作难度,利用舒尔特表测算反应时间和操作可靠度,使用SPSS20. 0和Excel进行数据处理,设计试验组和对照组来进行对比试验。结果表明,1)从反应时间来看,0～25 min,试验组平均反应时间的变化趋势与对照组相反,被试者的注意力先下降后上升; 25～55 min,被试者逐渐适应低照度环境,反应时间也在逐渐缩短;被试者在低照度条件下操作55 min后,反应时间随光照时间增加而大幅度增加,超过劳动时间临界值后,视觉疲劳度迅速增加,反应急速减慢,从而可能导致安全事故的发生,影响生产效率,此时应合理安排工人休息。2)从操作难度来看,在简单及正常操作难度时,试验组和对照组操作可靠度变化比较接近,表明低照度条件对一般操作的可靠度影响不明显;在极难操作难度时,低照度条件对可靠度影响明显,在井下生产过程中,低照度环境下应尽量避免安排复杂的机械化操作。3)反应时间与光照时间呈二次函数关系,通过建立回归方程量化了两者的关系,为以后合理安排煤矿工人劳动休息时间提供了理论依据。     

Lower back pain and its association with whole-body vibration and manual materials handling among commercial drivers in Sabah

A cross-sectional study was undertaken to determine the prevalence of lower back pain (LBP) and its association with whole-body vibration (WBV) and manual materials handling (MMH). We studied 110 commercial vehicle drivers using a self-administered questionnaire and the VI-400Pro human vibration monitor. Prevalence of LBP was 66.4%. The percentage of drivers who had frequent manual handling of heavy loads was 45.5% and those who handled heavy loads in awkward postures accounted for 86.4%. Daily vibration A(8) averaged on the z axis was 0.25 (0.06) m·s^?2 and at vector sum was 0.29 (0.07) m·s^?2. Daily vibration exposures on the z axis, frequent manual handling of heavy loads and awkward posture during MMH were significantly associated with LBP. Drivers who are exposed to WBV and frequently handle heavy loads manually and with awkward postures probably have more LBP than drivers who are exposed to only one of these risk factors.     

平行双样对天然气中硫化物采样的质量控制

为了研究平行双样对天然气中硫化物采样质量控制措施的可靠性,对现场采集的８对硫化物平行样用对氨基二甲基苯胺光度法进行测定。对测定结果及相对偏差进行Ｗ（Ｓｈａｐｉｒｏ－Ｗｉｌｋ）检验,检验结果说明平行双样相对偏差服从正态分布,数据的一致性较好,说明用平行双样对采样进行质量控制是可行的。文中还用Ｇｒｕｂｂｓ检验法计算出在该实验条件下测定天然气中硫化物平行双样的相对偏差质量控制范围为１．９３％±１２．５％。     

分光光度法测定COD_(Cr)的试验条件选择

用分光光度法测定水中化学需氧量ＣＯＤＣｒ,通过正交试验选择氧化的最佳选择。试验结果表明对ＣＯＤＣｒ值为５０～１０００ｍｇ／Ｌ的水样：氧化剂Ｋ２Ｃｒ２Ｏ７用量为０．２０～０．４０ｍｏｌ／Ｌ,催化剂Ａｇ２ＳＯ４用量为１０ｇ／ＬＨ２ＳＯ４,消解时间１０ｍｉｎ,加热温度１８０℃。用ＣＯＤＣｒ为１３８ｍｇ／Ｌ的质控标样进行验证试验,其绝对误差为０．５～３．０ｍｇ／Ｌ。与标准方法相比用分光光度法测定ＣＯＤＣｒ具有分析误差小,省时、省力,节约药剂的特点。     

COD_(Cr)测定中排除氯离子干扰的进一步探讨

废水中化学需氧量的测定采用重铬酸钾法［１］,大多数情况下都存在Ｃｌ－干扰,其排除方法用ＨｇＳＯ４掩蔽,通过实验探讨不用剧毒药品ＨｇＳＯ４掩蔽Ｃｌ－的干扰,而用ＣＯＤＣｒ总量减去Ｃｌ－的量。实验结果表明：当测定化学需氧量较低而Ｃｌ－含量高的水样时,即使采用掩蔽Ｃｌ－也会产生较大的误差,而用测定值减去０．２２６［Ｃｌ－］之值更接近真值。