Real-time contrasts control chart using random forests with weighted voting

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• 作者：Seongwon Jang¹ ; ^{jsw900806@korea.ac.kr} ; Seung Hwan Park¹ ; ^{udongpang@korea.ac.kr} ; Jun-Geol Baek ; ^{jungeol@korea.ac.kr}
• 关键词：Real-time contrasts (RTC) ; Fault detection ; Fault isolation ; Random forests ; Weighted voting ; Class imbalance
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：71
• 期：Complete
• 页码：358-369
• 全文大小：1727 K
• 卷排序：71

文摘

We propose RTC control charts using random forests with weighted voting. F-measure, G-mean, and MCC are used as performance measures to assign proper weights. Our method detects faults more rapidly by making monitoring statistics continuous. Our method can identify where the fault occurs because tree-based classifier is used. Experiments demonstrated that our method is more effective than the existing methods.