• 한국기계연구소 소보
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• s.19
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• pp.69-79
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• 1989

Cutting tool life monitoring is a critical element needed for designing unmanned machining systems. This paper describes a tool wear measurement system using computer vision which repeatedly measures flank and crater wear of a single point cutting tool. This direct tool wear measurement method is based on an interactive procedure utilizing a image processor and multi-vision sensors. A measurement software calcultes 7 parameters to characterize flank and crater wear. Performance test revealed that the computer vision technique provides precise, absolute tool-wear quantification and reduces human maesurement errors.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.9 no.5
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• pp.157-164
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• 2000

A machine tool generally has some serious stability problems in the form of tool chatter during the cutting process. Chatter vibration deteriorates the surface finish, reduce tool and machine life, accelerates machine tool system component wear, and may lead to an unacceptable noise sound in the working environment. In this study, the behavior of spectral density of AE signal and principal cutting force signal in order to monitor the chatter vibration in the cutting process has been investigated. From the results, the reliability of proposed monitoring method has been confirmed.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.2
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• pp.23-34
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• 1995

This paper is concerned with effective and reliable tool breakage detection method using pattern characteristics of feed motor current in milling operations. Correlation coefficient is derived from the feature vector of signal for two consecutive which are extracted feed motor current over three spindle revolutions. The changing pattern of correlation coefficient is continuously compared to detect tool breakage and monitor cutting conditions. This proposed monitoring scheme is not affected by different tools, friction of motion, and varying cutting conditions and material shapes. Experimental results are presented to support the proposed monitoring scheme.

• Journal of the Korean Society for Precision Engineering
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• v.10 no.3
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• pp.81-86
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• 1993

It is well known that the interest on the on-line sensing of tool wear is growing more and more with the aim of controlling machine tools productivity from the point of view of quality. This paper describes the sensing of the amount of flank wear with vision system. To obtain a proper image He-Ne laser generator is used as the lighting source and obtained image is processed with block processing algorithm and morphological image processing method. By means of this system it is possible to evaluate the parameters of tool wear. Experimental tests performed with this system on an NC lathe have shown good performances here described and discussed.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.4 no.2
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• pp.38-45
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• 1995

The diagnosis and monitoring system of abnormal cutting condition is necessary to realize precision machining proces and factory automation, which are final goal of metal cutting in order to develop this system, theimage processing technique has been investigated in machining process. In theis paper, the measurement system of tool wear using computer vision is designed to detect the wear pattern by non-contact and direct method and get the realiable wear information about cutting tool. We measured the area of the side and front part of the diamond core dril which is used in 40kHz ultrasonic vibration machine.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.741-742
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• 2010

• Journal of the Korean Society for Precision Engineering
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• v.30 no.5
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• pp.480-485
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• 2013

Enhancing energy efficiency of machine tools causes substantial impacts on the manufacturing industries, to cope with the competitive introduction of the total energy management strategies. Real-time energy monitoring is essential to identify energy consumption patterns of the machine tools and correlate them with the energy management strategy. Integrated analysis of machine tool's operation status and the corresponding energy usage is most important to accurately evaluate the energy efficiency under the various machining process environments. This paper proposes a system architecture to realize the online energy monitoring system and the embedded energy monitoring approach interconnected with the CNC kernel. The shop-floor operation management system is presented to integrate the proposed online energy monitoring approach.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.4
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• pp.63-68
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• 2010

Mobile devices like iphone, ipad, kindle, and PDA are used as everyday tool. In the mobile environment, smart phones and other mobile units are also used as a tool for protection or infringement of personal information. Therefore, smart monitoring technology is required to protect personal information and privacy. On the other hand, with smart phones and the mobile environment, diverse application technologies are realized on hardware and software platforms. Therefore, this paper designs the network structure that forms privacy trust zone, and based on this, deals with the monitoring and monitoring prevention system with a focus on CCTV, through which this paper proposes a system that provides privacy trust zone information and its utilization which is capable of smart monitoring.

• The Journal of Korean Academic Society of Nursing Education
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• v.12 no.2
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• pp.196-204
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• 2006

Purpose: This study was purposed to identify the effect of pain monitoring program for improving the knowledge, attitude and assessment ability of cancer pain in oncology nurses. Methods: In this study pain monitoring program was developed based on the literature, and constructed it with various teaching method including several group lectures, workshop, focus group and implementation at the clinical practices. In order to test the effect of this program, contrast group, pretest-post test quasi-experimental design was designed. 46 oncology nurses randomly assigned to either control or experimental group. The tool used are 32 item scale for the evaluation of the nurses' knowledge, attitude toward pain modified by Kim(1997), which was originally developed by McCaffery and Ferrel(1995). Results: The pain monitoring program for the oncology nurses was statistically significant for improving the level of the knowledge about and attitude toward pain management, and pain assessment behavior. Conclusion: More sensitive multiple measurement tool for the attitude toward pain management needs to be developed. Nurses need more knowledge and effective attitude toward cancer pain management. Pain monitoring program in this study is effective to improve the quality of pain management.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.981-988
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• 2022

The intelligent production plant called smart factories that apply information and communication technology (ICT) are collecting data in real time through various sensors. Recently, researches that effectively applying to these collected data have gained a lot of attention. This paper proposes a method for the tool condition monitoring based on the sound signal generated in machining process. First, it not only detects a fault tool, but also presents various tool states according to idle and active operation. The second, it's to represent the power spectrum of the sounds as images and apply some transformations on them in order to reveal, expose, and emphasize the health patterns that are hidden inside them. Finally, the contrast-enhanced PSD image obtained is diagnosed by using CNN. The results of the experiments demonstrate the high discrimination potential afforded by the proposed sound PSD image + CNN and show high diagnostic results according to the tool status.