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배용환 한국산업안전학회 2000 한국안전학회지 Vol.15 No.2
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 X-Windows^ⓡ which provides multi-process, multi-tasking and IPC facilities for visualization of transaction, by applying the software written in ANSI-C^ⓡ together with MOTIF^ⓡ on the fault diagnosis of PI feedback controller reactor. It can be used as a simple stepping stone towards a perfect multiple diagnosing system covering with various industrial applications, and further provides an economical approach to prevent a disastrous failure of huge complicated systems.
배용환,이석희,최진원 대한기계학회 1994 대한기계학회논문집 Vol.18 No.1
The application of fault tree technique to the analysis of compressor failure is considered. The techniques involve the decomposition of the system into a form of fault tree where certain basic events lead to a specified top event which signifies the total failure of the system. In this paper, fault trees are made by using fault train of screw type air compressor failure. The fault trees are used to obtain minimal cut sets from the modes of system failure and, hence the system failure rate for the top event can be calculated. The method of constructing fault trees and the subsequent estimation of reliability of the system is illustrated through compressor failure. It is proved that FTA is efficient to investigate the compressor failure modes and diagnose system.
자동차용 Adjust Plate Progressive 금형 개발
배용환,반갑수 한국산업안전학회 2002 한국안전학회지 Vol.17 No.4
A automatic production system was developed for high productivity and safety. The semi-progressive die was unfavorable for more productivity, safety, material extravagance and incongruent high-speed production. Developed progressive die is suitable for the high production and guarantee triple production by acceptance of three array type for automobile adjust plate. We adopt Pro-Engineer^ⓕ for three dimensional computer aided design suitable for the disassembly and assembly evaluation. The conclusion of this study is as follow. First press die solid modeling system is built by using Pro-Engineer^ⓕ through this research and verified allowable tolerance and possibility of assembly and disassembly of parts. Therefore we can reduce die manufacturing time and cost. Second, We produce 1000 units per hot coil 1ton by traditional method, but we can acomplish material saving effect about effect about 12% as 1120 units in case of new progressive die. Fourth, we acomplished manufacturing cost curtailment effect more than 20% in comparison with traditional method.
배용환 한국안전학회 2004 한국안전학회지 Vol.19 No.1
Modem production systems are very complex by request of automation, and failure modes that occur in thisautomatic system are very various and complex. The efficient fault diagnosis for these complex systems is essential for productivity loss prevention and cost saving. Traditional fault diagnostic system which performs sequential fault diagnosis can cause catastrophic failure during diagnosis when fault propagation is very fast . This paper describes the Real-time Intelligent Multiple Fault Diagnosis System (RIMFDS). RIMFDS assesses current machine condition by using sensor signals. This system deals with multiple fault diagnosis, comprising of two main parts. One is a personal computer for remote signal generation and transmission and the other is a host system for multiple fault diagnosis. The signal generator generates various faulty signals and image information and sends them to the host. The host has various modules and agents for efficient multiple fault diagnosis. A SUN workstation is used as a host for multiple fault diagnosis and graphic representation of the results. RIMFDS diagnoses multiple faults with fast fault propagation and complex physical phenomenon. The new system based on multiprocessing diagnoses by using Hierarchical Artificial Neural Network (HANN)
배용환 安東大學 1997 安東大學 論文集 Vol.19 No.1
This paper describes the systematic control method of process information transfer and machine cell control in FMS implementation. We constructed a experimental FMS computer network and control system. The system hardware consisted of host computer to manager process data and information transfer of machine cells, cell control computers to control machine cells (NC lathe, Machining center). On the other hand, software is made up of order management module, NC program searching and generation module, NC part program error check module and cell control module. In this study, we could arrive at conclusion as following ; The first, each task could be accomplished by the efficient information transfer in hierarchical computer network. The second, data base system of part programs and process control data is needed for the efficient information transfer and production management. Lastly, expansion of FMS control system could be achieved by the hierarchical and decentralized computer control system.