• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.11a
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• pp.809-814
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• 2000

이 연구의 목적은 비침투적으로 펌프의 유량을 알아내고, 이를 이용하여 펌프의 성능을 감시하는데 있다. 그리고 운전중인 펌프의 상태를 감시함으로써 펌프의 결함을 진단하는데 있다. 위 목적을 달성하기 위하여 본 연구에서는 비침투적으로 측정이 가능한 변수인 모터 토크와 회전속도를 이용하여 펌프의 성능을 예측할 때 필수석인 유량을 알아내는 Simulator를 개발하였다. 유량의 변화를 감시함으로써 펌프의 성능 변화를 감시하는 일반적인 방법을 적용하면 펌프의 성능을 효율적이며 경제적으로 감시를 하는데 이용할 수 있다.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.31-38
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• 2022

This paper applies an expert independent unsupervised neural network learning-based multivariate time series data analysis model, MSCRED(Multi-Scale Convolutional Recurrent Encoder-Decoder), and to overcome the limitation, because the MCRED is based on Auto-encoder model, that train data must not to be contaminated, by using learning data sampling technique, called Subset Sampling Validation. By using the vibration data of power plant equipment that has been labeled, the classification performance of MSCRED is evaluated with the Anomaly Score in many cases, 1) the abnormal data is mixed with the training data 2) when the abnormal data is removed from the training data in case 1. Through this, this paper presents an expert-independent anomaly diagnosis framework that is strong against error data, and presents a concise and accurate solution in various fields of multivariate time series data.

• Journal of Dental Rehabilitation and Applied Science
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• v.32 no.1
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• pp.38-46
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• 2016

Purpose: study for discriminating method of origin side vibration from non-symptomatic clicking group. Materials and Methods: 60 joints vibrations of 30 subjects in non-symptomatic clicking group was recorded via subject's awareness, examiner's palpation and JVA analysis. Origin side vibration was discriminated with consideration for frequency spectrum, time delay and phase shift of waveforms, analysis of numeric values. Results: There were all unilateral vibrations with JVA analysis and number of origin vibrations were 42. 11 pairs of vibrations showed time delay and phase shift and transferred side vibrations showed smaller values of total integral and bigger values of > 300 / < 300 ratio than origin side vibrations except one pair of vibrations. Also as the ipsi-lateral joint vibrations with smaller values of total integral showed bigger values of > 300 / < 300 ratio than the contra-lateral joint vibrations and there all ipsi-lateral vibrations were showed small values of total integral below 10 and hard to detect time delay and phase shift. So the features were used in discrimination of origin side vibrations. Conclusion: There should be all-around considerations for discrimination of origin side vibrations that is frequency spectrum, phase shift and time delay and analysis of numeric values.

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.6
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• pp.219-225
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• 2011

Advanced composite structures are too difficult for such design engineers for construction and some simple but accurate enough methods are necessary. The simply supported laminated plates are analyzed by the specially orthotropic laminates theory. This method, however, may be too difficult for some practising engineers. In this paper, the result of analysis for such plate by means of the beam theory with unit width is reported. The plate aspect ratio considered is from 1 : 1 to 1 : 5. Most of the bridge and building slabs on girders have large aspect ratios. For such cases further simplification is possible by neglecting the effect of the longitudinal moment terms($M_x$) on the relevant partial differential equations of equilibrium. In this paper. the influence of the aspect ratio on the natural frequency of the specially orthotropic laminated plates is studied and it is concluded that the method used is sufficiently accurate for engineering purposes. The result of this paper can be used for simply supported laminated plates analysis.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.2
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• pp.58-66
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• 2023

In this study, cable tension was measured using the vibration method, and a vision-based system was applied as a sensor to measure the displacement response of a cable in a non-contact method. In the vision-based system, the camera is installed in a location that considers the target structure and the field of view of the camera. However, it can be difficult to recognize the control points required to measure the displacement response of a structure as the target structure and other structures such as vehicles may be included in the image at the intended installation location. In this study, a distorted image including a vehicle shows inaccurate results in image analysis due to the installation position of the vision-based system. Accordingly, the image including the vehicle was eliminated by calculating the similarity between the two images. To verify the validity of the method of estimating the cable tension of cable-stayed bridges using the proposed method, the vibration method was applied to cable-stayed bridges in service to measure the tension.

• Journal of the Korea institute for structural maintenance and inspection
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• v.11 no.1
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• pp.103-112
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• 2007

Recently structures become longer and higher because of the developments of new materials and construction techniques. However, such modern structures are susceptible to excessive structural vibrations, which may induce problems of serviceability and structural damages. In this paper we attempt to control structural vibration using the probabilistic neural network(PNN) and the artificial neural network(ANN) based on the training pattern that consist of only the structural state vector and the control force. The state vectors of the structure and control forces made by linear quadratic regulator(LQR) algorithm are used for training pattern of PNN and ANN. The proposed algorithm is applied for the vibration control of the three story shear building under Northridge earthquake. Control results by the proposed PNN and ANN are compared with each other.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.1
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• pp.86-92
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• 2009

As increasing of using induction motors, the induction motors faults cause serious damage to the industry. Therefore to find out faults of induction motor is recognized as important problem awaiting solution. But to make matters worse, the faults of induction motors often progress through long time. It means that early diagnosis is very important. Many researches have been progressed and general method of diagnosis is using vibration sensor to diagnose fault of induction motor. However, although it is reliability technique, it demands high price and it is difficult to use. This paper presents an implementation of technique for fault diagnosis of induction motor using wavelet transform based stator current and it is composed with algorithm that decides whether fault existence or not using C++ based on windows software. The algorithm will be accomplished in real-time using current data acquisition board and PC automatically with Neural Network algorithm.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2304-2306
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• 2002

베어링 고장진단은 대부분 진동센서에 의한 근접 탐침에 의존하고 있어 설치 및 측정 상에 제약이 따른다. 최근 들어 전동기 전류를 이용한 베어링 고장진단의 가능성이 제시되고 있으나 베어링의 초기고장에 대한 연구는 없었다. 본 연구에서는 전동기 전류를 이용하여 베어링 외륜의 초기고장을 검출할 수 있는 기법을 제시하였다. 이 기법은 처리 데이터를 줄이고 신속한 고장검출을 위하여 고장진단 주파수 대역 설정방법을 제시하였으며 유도전동기 베어링 외륜 고장검출 실험을 통하여 이 기법의 유용성을 보였다.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.10
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• pp.445-454
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• 2023

Recently, various fault diagnosis studies are being conducted utilizing data from collaborative robots. Existing studies performing fault diagnosis on collaborative robots use static data collected based on the assumed operation of predefined devices. Therefore, the fault diagnosis model has a limitation of increasing dependency on the learned data patterns. Additionally, there is a limitation in that a diagnosis reflecting the characteristics of collaborative robots operating with multiple joints could not be conducted due to experiments using a single motor. This paper proposes an LSTM diagnostic model that can overcome these two limitations. The proposed method selects representative normal patterns using the correlation analysis of vibration and current data in single-axis and multi-axis work environments, and generates residual patterns through differences from the normal representative patterns. An LSTM model that can perform gear wear diagnosis for each axis is created using the generated residual patterns as inputs. This fault diagnosis model can not only reduce the dependence on the model's learning data patterns through representative patterns for each operation, but also diagnose faults occurring during multi-axis operation. Finally, reflecting both internal and external data characteristics, the fault diagnosis performance was improved, showing a high diagnostic performance of 98.57%.

• Explosives and Blasting
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• v.22 no.3
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• pp.43-55
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• 2004

Use term of tower style construction exceeds recently. Accordingly, according to construction safety diagnosis result, achieve removal or Improvement construction. But when work removal, must shorten shut down time. Therefore, removal method of construction to use blasting demolition of construction is very profitable. Influence construction and equipment by blasting vibration and occurrence vibration caused by felling impact. Is using disadvantageous machine removal method of construction by and economic performance by effect of such vibartion. Therefore, this research studied techniques to forecast vibartion level happened at blasting demolition and vibration reduction techniques by use a scaled model test.