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- 한국소음진동공학회:학술대회논문집
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- 한국소음진동공학회 2000년도 춘계학술대회논문집
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- pp.1127-1132
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- 2000
Impulsive acoustic and vibration signals within rotating machinery are often induced by irregular impacting. The detection of these impulses can be useful for fault diagnosis purposes. Recently there has been an increasing trend towards the use of higher order statistics for fault detection within mechanical systems based on the observation that impulsive signals tend to increase the kurtosis values. This paper considers the use of the third and fourth order Wigner moment spectra, called the Wigner bi- and tri- spectra receptively, for analysing such signals. Expressions for the auto-and cross-terms in these distributions are presented and discussed. It is shown that the Wigner trispectrum is a more suitable analysis tool and it performance is compared to its second order counterpart for detecting impulsive signals. These methods are also applied to measured data sets from an industrial gearbox.
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오재응;신준;신기홍;김두환;김우택;이충휘
- 한국정밀공학회:학술대회논문집
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- 한국정밀공학회 2000년도 춘계학술대회 논문집
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- pp.639-642
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- 2000
Chemical facility system have dangerous elements that can injure the human like an explosion and a fire, gas poisoning by a leakage of the harmful chemical material. In addition to a vibration of the machine occurs the leakage. Therefore, the chemical factory requires for periodic monitoring of the vibration. But, until now, the operator has executed a monitoring of the machine by the senses. So, the diagnostic expert system by which the operator can judge easily and expertly a condition of the machine is developed. This paper describes the structure of diagnostic system and the diagnostic algorithm using fuzzy inference
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Jung, Young-Ok;Bae, Youngchul
- International Journal of Fuzzy Logic and Intelligent Systems
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- 제15권3호
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- pp.166-171
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- 2015
In this paper, we measure the current and vibration signals of one-dimensional time series that occur in a motor and pump, respectively. These machines are representative rotary and pumping machines. We also eliminate unnecessary components such as noise by pre-processing the current and vibration signals. Then, in order to diagnose fault signals for the pump and motor, we transform from one-dimensional time series to a two-dimensional phase portrait using Takens’ embedding method. After this transformation, we review the variation in the pattern according to the fault signals.
https://doi.org/10.5391/IJFIS.2015.15.3.166 인용 PDF KSCI KPUBS HTML