Journal of the Korean Society of Safety (한국안전학회지)
- Volume 15 Issue 2
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- Pages.36-45
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- 2000
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- 1738-3803(pISSN)
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- 2383-9953(eISSN)
Development of Multiple Neural Network for Fault Diagnosis of Complex System
복합시스템 고장진단을 위한 다중신경망 개발
- Bae, Yong-Hwan (Department of Mechanical Engineering Education, Andong National University)
- 배용환 (안동대학교 기계공학과)
- Received : 2000.01.15
- Accepted : 2000.05.29
- Published : 2000.06.30
Abstract
Automated production system is composed of many complicated techniques and it become a very difficult task to control, monitor and diagnose this compound system. Moreover, it is required to develop an effective diagnosing technique and reduce the diagnosing time while operating the system in parallel under many faults occurring concurrently. This study develops a Modular Artificial Neural Network(MANN) which can perform a diagnosing function of multiple faults with the following steps: 1) Modularizing a complicated system into subsystems. 2) Formulating a hierarchical structure by dividing the subsystem into many detailed elements. 3) Planting an artificial neural network into hierarchical module. The system developed is implemented on workstation platform with
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