基于MSPCA的FPSO典型生产流程故障诊断系统的设计与实现  

Design and Implementation of Fault Diagnosis System of FPSO Production Process Based on MSPCA

作　　者：高强[1] 韩淼[1] 扈书亮[1] 董超[1] 

机构地区：[1]天津理工大学自动化学院天津市复杂系统控制理论及应用重点实验室,天津300191

出　　处：《化工自动化及仪表》2010年第2期41-43,共3页Control and Instruments in Chemical Industry

基　　金：天津市高等学校科技发展基金资助项目(2006BA22)

摘　　要：针对传统主元分析单尺度建模的局限性,以小波分析和主元分析理论为基础,应用多尺度主元分析方法(MSPCA)对浮式油轮生产储油卸油系统(FPSO)进行故障检测与诊断系统的设计与实现。以MSPCA为故障诊断算法,以Microsoft Visual Basic和Matlab为开发平台,以FOXBORO I/A、AIM*OPC Server为数据传输平台,采用FPSO仿真系统作为数据环境,建立了基于MSPCA的FPSO典型生产流程的故障诊断系统,实现油气水分离过程的故障检测与诊断。结果表明:基于MSPCA的FPSO故障诊断系统结构设计合理,在油气水分离系统的故障检测与诊断过程中取得较好的应用效果。For the limitations of single-scale modeling in traditional principal components analysis （PCA）, multiscale principal components analysis（MSPCA） was applied to the fault monitor and diagnosis in floating production storage and off-loading system（FPSO）. FPSO typical production process fault diagnosis system was established with MSPCA as fault diagnosis algorithm, Microsoft Visual Basic and Matlab as development platform, FOXBORO I/A and AIM ＊ OPC Server as data transmission platform and FPSO simulation system as real time data environment to achieve the fault detection and diagnosis in the oil-gas-water separation process. The results show that the structure design of FPSO fault diagnosis system based on MSPCA is reasonable, it gets better results in oil-gas-water separation system.

关 键 词：故障诊断 多尺度主元分析 FPSO 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]