• Journal of Electrical Engineering and Technology
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• 제12권5호
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• pp.1955-1962
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• 2017

Induction motors are a workhorse for the industry. The condition monitoring and fault analysis are the main concern for the engineers. The bearing is one of the vital segment of the induction machine and the condition of the whole machine is decided based on the condition of the bearing. In the present paper, the vibration signal of the bearing has been used for the analysis. The first line of action is to perform a statistical analysis of the vibration signal which gives trends in signal. To get the location of a fault in the bearing the second action is to develop an index based on Wavelet Packet Transform node energy named as Bearing Damage Index (BDI). Further, Teager-Kaiser Energy Operator (TKEO) has been calculated from higher index value to get the envelope and finally Power Spectral Density (PSD) has been applied to identify the fault frequencies. A performance index has also been developed to compare the usefulness of the proposed method with other existing methods. The result shows that the strong amplitude of fault characteristics and its side bands help to decide the type of fault present in the recorded signal obtained from the bearing.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권2호
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• pp.162-166
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• 2012

The instantaneous amplitude (IA) based on the higher order differential energy operator is proposed. And its general form for arbitrary order is also proposed. The various definitions of the IA and the instantaneous frequency (IF) estimators are considered. The IA and IF estimators based on the energy operators need less computational cost than the conventional IF and IA estimators exploiting the Hilbert transform. The IF and IA estimators are compared in terms of the frequency and amplitude tracking accuracy of the AM-FM signals. For noiseless case, the IA and IF estimators based on the Teager-Kaiser energy operator show better tracking performance than the IF and IA estimators based on the higher energy operators. However, under noisy condition, the IF and IA estimator based on the higher order energy operators with the order 3 and 4 show better tracking than the Teager-Kaiser energy based estimators. The IF and IA estimators are applied to signals in the various power anomalies to show their usefulness as the disturbance detectors.

• 한국항공우주학회지
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• 제38권1호
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• pp.58-63
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• 2010

본 논문에서는 GPS 위성시계의 갑작스런 주파수 도약이 발생하였을 때 이를 즉시 검출할 수 있는 기법을 제시한다. GPS 위성은 정밀 위치와 시각 정보를 제공하기 위해 원자시계를 장착하고 있으나, 위성 원자시계는 장기적으로는 이차 함수의 형태를, 단기적으로는 주기가 일정치 않은 주기함수의 형태를 보이면서 가끔씩 신호에 갑작스런 도약 현상이 발생한다. 위성 시계의 이상 현상은 GPS 측정치에 큰 오차를 수반하기 때문에, 실시간 정밀 위치 응용분야에서는 위성시계 이상 신호를 즉시 검출할 수 있는 기법이 요구된다. 이를 위해 다양한 신호처리 분야에서 특정한 신호를 검출하는데 활용되고 있는 Teager 에너지를 적용하였으며, 그 결과 시계 도약 현상을 효과적으로 검출할 수 있었고, 일반적인 위성시계 도약 검출 기법과의 비교를 통해 제시한 기법의 유용성을 확인하였다.