PCA-SDG技术在化工过程故障诊断中的应用  

Application of PCA-SDG to Chemical Fault Diagnosis

作　　者：张卫华[1] 王春利[2] 吴重光[1] 任伟[3] 

机构地区：[1]北京化工大学信息科学与技术学院,北京100029 [2]中国石油化工股份有限公司青岛安全工程研究院,青岛266071 [3]青岛科技大学化工学院,青岛266042

出　　处：《系统仿真学报》2009年第S2期101-105,114,共6页Journal of System Simulation

基　　金：国家高技术研究发展计划863项目(2009AA04Z133);实验室名称:化学品安全控制国家重点实验室

摘　　要：故障诊断是化工过程中的一个重要问题,在其领域有多种优秀的方法,其中PCA和SDG在化工过程故障诊断中都有着广泛的应用。详细表述了主元分析和SDG的原理,从PCA和SDG在故障诊断中的应用着手,通过从根本上分析两者的优越性和局限性,从而阐述了PCA和SDG两种方法相结合的必要性。PCA与SDG相结合,在弥补了PCA技术在故障诊断领域一些不足的同时,大大拓宽了SDG故障诊断的应用范围,并且提高了SDG故障诊断的可靠性和稳定性,为SDG赋予了新的生命。Fault diagnosis is an important problem in the process of chemical industry, and there are many excellent methods in its field. PCA and SDG are widely applied in fault diagnosis of chemical process. And the main principles of PCA and SDG were analyzed from the application of PCA and SDG in the fault diagnosis. The advantages and limitations were analyzed between PCA and SDG, and the necessity was expounded, which combined the PCA and SDG. SDG for PCA technology in fault diagnosis could correct some shortages, while PCA for SDG greatly widened its scope of application in fault diagnosis, improved its reliability and stability, and gave a new life to SDG.

关 键 词：故障诊断 主元分析 符号有向图 化工过程 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]