원문정보
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Pattern classification / recognition is considered as one of the frequently adopted methodology in complex system fault diagnosis. This paper studies a group of methods which can be collectively categorized as signal feature matching based fault diagnosis methodology. This proposed methodology employs dynamic programming to quantify the distance between signals which are processed by morphological filtering. The proposed methods are applied to deterministic fault classification problem in Tennessee Eastman (TE) process to demonstrate the their validity and advantages.
목차
Abstract
1. Introduction
2. Fundamentals of DTW
3. Three Methods of Pattern Classification based on DTW and Adaptive Rank-order Morphological Transform
4. Case Study: Deterministic Fault Diagnosis in TE Process
5. Conclusions
References
1. Introduction
2. Fundamentals of DTW
3. Three Methods of Pattern Classification based on DTW and Adaptive Rank-order Morphological Transform
4. Case Study: Deterministic Fault Diagnosis in TE Process
5. Conclusions
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보