• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.2
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• pp.273-280
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• 1999

This paper presents the design and implementation of circuit analyzer system for the convenient troubleshooting and diagnosis of the electronics appliance using the curve tracer technology of analog signature analysis. The circuit analyzer provides advanced troubleshooting capabilities to simplify testing newer technology components such as CMOS and MOS circuits, its built-in pulse generator lets thoroughly troubleshoot gate-fired devices such as SCRs, TRIACs and optocouplers. The circuit analyzer while the power to the circuitry testing is turned of, so that avoid an accidental short that could cause further damage, its allow to analyze the impedance state of a solid-state component, which makes it perfect for finding leakage or substrate damage that has brought a system or PCB down prematurely. Because it can compare suspect components to known-good equivalents, it's verified the ideal application for troubleshooting when documentation is missing or incomplete.

• International Journal of Aeronautical and Space Sciences
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• v.17 no.1
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• pp.120-131
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• 2016

The full results of troubleshooting process related to the flight control system of a tilt-rotor type UAV in the flight tests are described. Flight tests were conducted in helicopter, conversion, and airplane modes. The vehicle was flown using automatic functions, which include speed-hold, altitude-hold, heading-hold, guidance modes, as well as automatic take-off and landing. Many unexpected problems occurred during the envelope expansion tests which were mostly under those automatic functions. The anomalies in helicopter mode include vortex ring state (VRS), long delay in the automatic take-off, and the initial overshoot in the automatic landing. In contrast, the anomalies in conversion mode are untrimmed AOS oscillation and the calibration errors of the air data sensors. The problems of low damping in rotor speed and roll rate responses are found in airplane mode. Once all of the known problems had been solved, the vehicle in airplane mode gradually reached the maximum design speed of 440km/h at the operation altitude of 3km. This paper also presents a comprehensive detailing of the control systems of the tilt-rotor unmanned air vehicle (UAV).

• YAKHAK HOEJI
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• v.28 no.6
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• pp.371-377
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• 1984

• YAKHAK HOEJI
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• v.28 no.6
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• pp.379-383
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• 1984

• Proceedings of the Korean Magnetic Resonance Society Conference
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• 2000.08a
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• pp.3-3
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• 2000

• Proceedings of the Korean Magnetic Resonance Society Conference
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• 2000.08a
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• pp.4-4
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• 2000

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.6
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• pp.465-469
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• 2001

In injection molding short shot is one of the frequent and fatal defects. Experts of Injection molding usually adjust process conditions such as injection time, mold temperature, and melt temperature because it is most economic way in time and cost. However, it is difficult task to find appropriate process conditions for troubleshooting of short shot as injection molding process is a highly nonlinear system and process conditions are coupled. In this paper, a modular fuzzy neural network (MFNN) has been applied to injection molding process to shorten troubleshooting time of short shot. Based on melt temperature and fill time, a reasonable initial mo이 temperature is recommenced by the NFNN, and then the mold temperature is inputted to injection molding process. Depending on injection molding result, specifically the insufficient quantity of an injection molded part. and appropriate mold temperature is recommend repeatedly through the NFNN.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.11
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• pp.83-88
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• 2002

In order to predict the moldability of a injection molded part, a simulation of filling is needed. Short shot is one of the most frequent troubles encountered during injection molding process. The adjustment of process conditions is the most economic way to troubleshoot the problematic short shot in cost and time since the mold doesn't need to be modified at all. But it is difficult to adjust the process conditions appropriately in no times since it requires an empirical knowledge of injection molding. In this paper, the intelligent CAE system synergistically combines fuzzy-neural network (FNN) for heuristic knowledge with CAE programs for analytical knowledge. To evaluate the intelligent algorithms, a cellular phone flip has been chosen as a finite element model and filling analyses have been performed with a commercial CAE software. As the results, the intelligent CAE system drastically reduces the troubleshooting time of short shot in comparison with the experts' conventional methodology which is similar to the golden section search algorithm.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.3
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• pp.61-67
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• 2017

The Nose Landing Gear(NLG) of Rotary Wing Aircraft is an essential equipment in Landing System for pilot to perform a flight mission. It supports the fuselage at ground and absorbs the impact from the ground when landing, thereby, these functions sustain operational capability for pilot and crew. However, the A aircraft caused stick-slip behavior when it was stationed on the ground. Therefore, this paper summarizes pilot comment in operation which are classified by cause of occurrence and the troubleshooting process about each comment. It also describes design improvements which was derived from troubleshooting and suggests verification results of flight test.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.189-192
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• 2002

When a large scale system and its machinery have a trouble, an inexperienced personnel has a difficulty to find out a countermeasure and to understand the situation quickly. In this paper, a Online Guide Application using 3D Virtual Reality is proposed, and it will be used for operator to work out a countermeasure quickly and to see a trouble situation widely. This application shows possibility of minimizing effects of an incident by presenting effective troubleshooting process. moreover, this is expected to be applied to training program.