• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 춘계학술대회 논문집
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• pp.982-986
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• 1997

A method using cutting force signal and neural network for detection tool damage is proposed. Cutting force signal is gained by tool dynamometer and the signal is prepocessed to normalize. Cutting force signal is changed by tool state. When tool damage is occurred, cutting force signal goes up in comparison with that in normal state. However,the signal goes down in case of catastrophic fracture. These features are memorized in neural network through nomalizing couse. A new nomalizing method is introduced in this paper. Fist, cutting forces are sumed up except data smaller than threshold value, which is the cutting force during non-cutting action. After then, the average value is found by dividing by the number of data. With backpropagation training process, the neural network memorizes the feature difference of cutting force signal between with and without tool damage. As a result, the cutting force can be used in monitoring the condition of cutting tool and neural network can be used to classify the cutting force signal with and without tool damage.

• 한국지반환경공학회 논문집
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• 제20권4호
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• pp.5-9
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• 2019

본 논문은 건설재료(암석, 콘크리트, 목재 등) 등의 압축강도를 비파괴적으로 산정하기 위하여 재료타격 시 발생하는 충격력에 대한 응답신호를 모두 측정하고 이를 누적한 전체 충격력 신호에너지의 이용성 및 가능성에 관해 기초연구를 수행하고 그 결과를 제시하는 것이다. 본 연구에서는 이를 위해서 충격 및 측정장치를 고안하였고 이를 이용하여 측정대상물을 회전 자유낙하에 의해 초기 타격토록하고 이후 반발작용에 의한 반복타격이 소멸될 때까지 발생할 수 있도록 하였다. 본 연구에서는 서로 다른 강도를 가지는 목재와 암석시편에 대하여 충격력실험을 실시하고 발생신호를 측정하였다. 시편별 산정된 전체 충격력 신호에너지는 직접압축강도시험을 통한 시편별 압축강도와 상호 비교하였다. 비교결과, 충격력 응답신호를 통해 산정된 전체 충격력 신호에너지는 시편의 직접압축강도와 직접적인 관계가 있다는 것을 확인하였으며, 이를 통해 다양한 건설재료의 압축강도는 재료타격 시 발생하는 충격력 응답신호로부터 산정된 전체 충격력 신호에너지를 이용하여 비파괴적으로 산정할 수 있음을 알 수 있었다.

• 대한의용생체공학회:의공학회지
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• 제13권1호
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• pp.1-8
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• 1992

In the field of prosthesis arm control, the pattern classification of the EMG signal is a required basis process and also the estimation of force from collected EMG data is another necessary duty. But unfortunately, what we've got is not real force but an EMG signal which contains the information of force. This is the reason why we estimate the force from the EMG data. In this paper, when we handle the EMG signal to estimate the force, spatial prewhitening process is applied from which the spatial correlation between the channels are removed. And after the orthogonal transformation which is used in the force estimation process, the transformed signal Is inputed into the probabilistic model for pattern classification. To verify the different results of the multiple channels, SNR(signal to noise ratio) function is introduced.

• 한국지반환경공학회 논문집
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• 제23권10호
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• pp.13-19
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• 2022

본 연구는 암석의 압축강도를 비파괴적으로 산정하기 위하여 암석시편 초기타격 및 반발에 의한 연속적인 반복타격 시 발생하는 타격력에 대한 응답신호를 모두 측정하고 이를 누적한 전체 타격력 신호에너지를 이용하고 그 결과를 제시하는 것에 관한 것이다. 본 연구에서는 이를 위해서 타격 및 측정장치를 고안 및 셋업하였고 이를 이용하여 암석시편을 회전 자유낙하에 의해 초기 타격토록하고 반발작용에 의한 반복타격이 이루어질 수 있도록 하였다. 본 연구에서는 서로 다른 세 종류의 암석시편에 대하여 타격력실험을 실시하고 발생신호를 측정하였다. 각 시편별 초기 및 반발타격으로부터 발생된 신호로부터 산정된 전체 타격력 신호에너지와 각 시편별 측정한 직접압축강도와 상호 비교하였다. 비교결과, 타격력 응답신호로 부터 산정된 전체 타격력 신호에너지는 시편의 직접압축강도와 직접적인 관계가 있다는 것을 확인하였으며, 이를 통해 암석의 압축강도는 타격 시 발생하는 타격력 응답신호로부터 산정된 전체 타격력 신호에너지를 이용하여 비파괴적으로 산정할 수 있음을 알 수 있었다.

• 제어로봇시스템학회논문지
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• 제7권2호
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• pp.146-151
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• 2001

The importance of sensing the force and torque with arbitrary direction and magnitude is becoming more crucial for robotic applications and manufacturing automations. Recently, several designs of a multi-axis force-torque sensor have been tried to sense this force and torque. This paper deals mainly with the signal processing of a six-axis force-torque sensor using cross-shaped elastic structures with circular holes. In this paper, we show principle of sensing force and torque, the signal processing methodology, and efficient methods of seeking strain gage positions in the sensor structure. The validity of the proposed method is shown via experiments.

• International Journal of Control, Automation, and Systems
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• 제3권3호
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• pp.469-476
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• 2005

Performance of a force-torque sensor is affected significantly by an error signal that is included in the sensor signal. The error sources may be classified mainly into two categories: one is a structural error due to inaccuracy of sensor body, and the other is a noise signal existing in sensed information. This paper presents a principle of 6-axis force-torque sensor briefly, a double-hole structure to be able to improve a structural error, and then a signal conditioning to reduce the effect of a noise signal. The validity of the proposed method is investigated through experimental study, which shows that SIN ratio is improved significantly in our experimental setup, and the sensor can be implemented cheaply with reasonable performance.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1991년도 추계학술대회
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• pp.25-29
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• 1991

In the field of prosthesis arm control, tile pattern classification of the EMG signal is a required basis process and also the estimation of force from col looted EMG data is another necessary duty. But unfortunately, what we've got is not real force but an EMG signal which contains the information of force. This is the reason why he estimate the force from the EMG data. In this paper, when we handle the EMG signal to estimate the force, spatial prewhitening process is applied from which the spatial correlation between the channels are removed. And after the orthogonal transformation, which is used in the force estimation process the transformed signal is inputed into the probabilistic model for pattern classification. To verify the different results of the multiple channels, SNR(signal to noire ratio) function is introduced.

• Current Optics and Photonics
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• 제2권2호
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• pp.134-139
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• 2018

A novel approach for frequency-tripling vector signal generation via balanced detection without precoding and optical filter is proposed. The scheme is mainly utilizing an integrated dual-polarization quadrature phase shift keying (DPQPSK) modulator. In the DPQPSK modulator, one QPSK modulator is driven by an RF signal to generate high-order optical sidebands, while the other QPSK modulator is modulated by I/Q data streams to produce baseband vector signal as an optical carrier. After that, a frequency-tripling 16-quadrature-amplitude-modulation (16QAM) vector millimeter-wave (mm-wave) signal can be obtained by balanced detection. The proposed scheme can reduce the complexity of transmitter digital signal processing. The results show that, a 4 Gbaud baseband 16QAM vector signal can be generated at 30 GHz by frequency-tripling. After 10 km single-mode fiber (SMF) transmission, the constellation and eye diagrams of the generated vector signal perform well and a bit-error-rate (BER) below than 1e-3 can be achieved.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1998년도 춘계학술대회 논문집
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• pp.30-34
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• 1998

In-process monitoring of cutting conditions and tool wear is important for improving productivity. This paper is concerned with on-line monitoring of tool wear and cutting force in end milling operation. The experimental study deals with the relations between flank wear and cutting force signal. Tool wear is detected by monitoring of cutting signal. A monitoring procedure is shown in this paper. The influence of flank wear on cutting signal activity was examined. The results are presented in the form of graphs. The analysis of the cutting signal and flank wear curves provides useful indicators of unacceptable wear development in the tool.

• 한국정밀공학회지
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• 제12권3호
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• pp.130-143
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• 1995

This paper presents a new methodology for on-line tool breadage detection by sensor fusion of an acoustic emission (AE) sensor and a built-in force sensor. A built-in piezoelectric force sensor, instead of a tool dynamometer, was used to measure the cutting force without altering the machine tool dynamics. The sensor was inserted in the tool turret housing of an NC lathe. FEM analysis was carried out to locate the most sensitive position for the sensor. A burst of AE signal was used as a triggering signal to inspect the cutting force. A sighificant drop of cutting force was utilized to detect tool breakage. The algorithm was implemented on a DSP board for in-process tool breakage detection. Experiental works showed an excellent monitoring capability of the proposed tool breakage detection system.