Fault Diagnosis Method Based on Moving Window PCA

摘要：

Moving window PCA have gain more attentions for its adaptive ability in monitoring industrial process. A new contribution chart is proposed for fault diagnosis when an abnormal behavior is indicated by MWPCA. The contributions of individual process variables to the process behavior changes and the PCA model coefficients can be illustrated in a 3-dimensional chart, which provides more information in process monitoring and fault diagnosis. The effectiveness of the proposed method is demonstrated by the application on the data from a real industrial process.

关键词： Process Fault Diagnosis Moving Window PCA Contribution Chart

作者: Binzhang Lu Yuhong Zhao Zhenhua Mao

作者单位: Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 185-188

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）