Study on a Unified Equipment Management System to Prevent Occurrence of Troubles

1.为了选择碳钢管冲刷腐蚀试验点，利用计算流体力学软件建立了一种预测最大剪应力区域的方法。为了选择保温管道的大气腐蚀试验点，提出了一种利用设计阶段、运行阶段和保温层外观信息预测腐蚀速率的方法.针对化工厂的安全问题，在化工/炼油工业中引入了基于独立保护层（IPL）概念的安全设计。建议建立风险评估/安全设计支持系统，为化工厂建立综合安全管理环境4。提出了一种基于支持向量机的时序过程数据故障检测方法。支持向量机是一种有监督的学习方法。研究了如何将该方法应用于故障检测， 关于我们 利用真实的精馏塔时间序列数据评价了其潜力.为了明确和定位设备故障的影响，提出了利用噪声信号中的微弱成分进行故障检测和诊断的新方法。仿真和真实的装置的应用表明，该方法可以准确地检测和诊断故障.为了预测动态过程的正常运行状态，提出了一种利用正常运行期间的历史数据的非线性建模技术，称为DB（数据库）建模。我们报告了良好的预测结果与数值实验使用的坦克管道系统，PVC间歇过程和锅炉厂模拟器。在化工厂中观察到的大部分振荡是由传感器或执行器故障引起的。在这项研究中，使用高阶统计量的方法的故障检测能力进行了检查和分析。针对传感器或执行器异常的情况，提出了一种控制算法，使控制系统稳定。少

1. In order to select test points for erosion-corrosion of carbon steel pipes, a method was developed to predict the area with maximal shearing stress by use of computational fluid dynamics software.2. In order to select test points for atmospheric corrosion of insulated pipes, a method was developed to predict corrosion rates by use of information obtained in the design stage, information obtained in the operation stage and information obtained from outlooks of insulations.3. For the safety of chemical plants, safety design based on the concept of independent protection layers (IPLs) has been introduced in chemical/oil refinery industries. Risk assessment/safety design support system is proposed to develop integrated safety management environment for Chemical plants4. A method based on support vector machine is proposed for fault detection in time series process data. Support vector machine is one of supervised leaning method. We studied how to use this method in fault detection and a … More ssessed its potentiality by using real distillation column time series data.5. In order to clear and localize the effect of equipment trouble, new methods of fault detection and diagnosis was developed by using weak components in noisy signals. Application of the methods to both simulation and real plant showed that the faults can be accurately detected and diagnosed.6. A nonlinear modeling technique using historical data during normal operations, which is called DB (database) modeling, has been proposed in order to predict the normal states of a dynamic process. We reported the good results of predictions with the numerical experiments by use of the tank-pipeline system, PVC batch process and the boiler plant simulator.7. Large parts of oscillations observed in chemical plants are caused by faults of sensors or actuators. In this research, the fault detection capability of the method using high order statistics was examined and analyzed. And a control algorithm to stabilize the control system with abnormal sensors or actuators was proposed. Less