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

防止故障发生的统一设备管理系统的研究

基本信息

批准号：
15360424
负责人：
MATSUYAMA Hisayoshi
金额：
$ 9.47万
依托单位：
Waseda University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2006
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15360424/
关键词：
Process Operation and Maintenance Process Information Analysis Process System Design Process Control Fault Detection Fault Diagnosis Deterioration Safety Management

项目摘要

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

1.针对碳素钢管冲刷腐蚀试验点的选择问题，提出了利用计算流体力学软件预测最大剪应力区域的方法。为了选择绝缘管道大气腐蚀试验点，提出了一种利用设计阶段的信息、运行阶段的信息和绝缘外观信息来预测腐蚀速率的方法。为了保证化工厂的安全，在化工/炼油工业中引入了基于独立保护层概念的安全设计。提出了风险评估/安全设计支持系统，以开发化工企业综合安全管理环境。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。我们研究了如何将该方法用于故障检测和一个…利用实际的精馏塔时间序列数据，进一步验证了该方法的潜力。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。在仿真和实际生产中的应用表明，该方法能够准确地检测和诊断故障。为了预测动态过程的正常状态，提出了一种利用正常运行过程中的历史数据进行非线性建模的技术，称为数据库建模。利用储罐-管道系统、聚氯乙烯间歇过程和锅炉厂模拟器进行了数值实验，取得了较好的预测结果。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。在本研究中，检验和分析了基于高阶统计量的故障检测方法。提出了一种在传感器或执行器异常情况下稳定控制系统的控制算法。较少