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Author

Kim, Duck Young
Smart Factory Lab (SF)
Research Interests
  • Smart factory, Smart control, Failure analysis, Simulation

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시스템 결함원인분석을 위한 데이터 로그 전처리 기법 연구

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Title
시스템 결함원인분석을 위한 데이터 로그 전처리 기법 연구
Other Titles
A Study on Data Pre-filtering Methods for Fault Diagnosis
Author
Lee, Yang JiKim, Duck YoungHwang, Min SoonCheong, Young Soo
Keywords
Data log; Fault diagmosis; Marine diesel engine; Pre-filtering
Issue Date
201204
Publisher
한국CAD/CAM학회
Citation
한국CAD/CAM학회 논문집 , v.17, no.2, pp.97 - 110
Abstract
High performance sensors and modern data logging technology with real-time telemetry facilitate system fault diagnosis in a very precise manner. Fault detection, isolation and identification in fault diagnosis systems are typical steps to analyze the root cause of failures. This systematic failure analysis provides not only useful clues to rectify the abnormal behaviors of a system, but also key information to redesign the current system for retrofit. The main barriers to effective failure analysis are: (i) the gathered data (event) logs are too large in general, and further (ii) they usually contain noise and redundant data that make precise analysis difficult. This paper therefore applies suitable pre-processing techniques to data reduction and feature extraction, and then converts the reduced data log into a new format of event sequence information. Finally the event sequence information is decoded to investigate the correlation between specific event patterns and various system faults. The efficiency of the developed pre-filtering procedure is examined with a terminal box data log of a marine diesel engine.
URI
http://scholarworks.unist.ac.kr/handle/201301/3808
ISSN
1226-0606
Appears in Collections:
DHE_Journal Papers

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