• Title/Summary/Keyword: Zero-crossing period

Search Result 27, Processing Time 0.026 seconds

Simulation of a Non-Directional Wave Spectrum Analysis with Welch's Method

  • Park, Soo-Hong
    • Journal of information and communication convergence engineering
    • /
    • v.6 no.2
    • /
    • pp.146-149
    • /
    • 2008
  • Simulation and signal conditioning on the time domain surface elevation records are conducted to verify the proposed Welch's method in non-directional ocean wave spectrum analysis. These spectrum data are further conditioned to provide wave characteristic that better describe the sea states. Comparison of significant wave height and zero crossing period between the proposed method and a reference toolkit are presented.

Method for Detection of Saturation of a Current Transformer (전류변성기의 포화 검출을 위한 알고리즘 개발)

  • Nam, Soon-Ryul;Choi, Joon-Ho;Kang, Sang-Hee;Min, Sang-Won
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.58 no.5
    • /
    • pp.879-884
    • /
    • 2009
  • A Method for detection of saturation of a current transformer(CT) is proposed. The algorithm is initiated when the end point of a saturation period is detected. This detection is achieved by checking the time interval between the adjacent zero-crossing points of the second derivative of the secondary current. Once the end point of the saturation period is detected, the beginning point of the corresponding saturation period is determined by backward examination of the sum of the secondary current from the end point. The performance of the algorithm was evaluated for a-g faults on a 345 kV 100km overhead transmission line. The Electromagnetic Transient Program(EMTP) was used to generate fault current signals for different fault inception angles and different remanent fluxes. The performance evaluation shows that the proposed algorithm successfully detects the saturation period even in the presence of a remanent flux.

Development an embedded module for nondirectional wave spectrum analysis

  • Park, Soo-Hong;Wong, Sheng-Chao
    • Journal of Sensor Science and Technology
    • /
    • v.17 no.6
    • /
    • pp.454-461
    • /
    • 2008
  • This embedded module measures significant wave height and zero crossing periods through spectral energy from a record of time series heave motion. An ARM7TDMI core microcontroller serves as the main control unit which performs the appropriate control and signal conditioning. Monitored wave characteristic is transmitted with satellite modem. Mathematical equations on signal conditioning and experiments procedures are documented in this paper.

The Characteristics of Wave Statistical Data and Quality Assurance (파랑 통계자료의 특성과 신뢰성 검토)

  • Park, J.H.
    • Journal of Power System Engineering
    • /
    • v.13 no.2
    • /
    • pp.63-70
    • /
    • 2009
  • This paper discusses the influence on long-tenn predictions of the ship response in ocean by using the Global Wave Statistics data, GWS, and wave information from the remote sensing satellites. GWS's standard scatter diagrams of significant wave height and zero-crossing wave period are suggested to be corrected to a round number of 0.01/1000 fitted with a statistical analytic model of the conditional lognormal distribution for zero-crossing wave period. The GEOSAT satellite data are utilized which presented by I. R. Young and G. J. Holland (1996, named as GEOSAT data). At first, qualities of this data are investigated, and statistical characteristic trends are studied by means of applying known probability distribution functions. The wave height data of GEOSAT are compared to the data observed onboard merchant ships, the data observed by measure instrument installed on the ocean-going container ship and so on. To execute a long-tenn prediction of ship response, joint probability functions between wave height and wave period are introduced, therefore long-term statistical predictions are executed by using the functions.

  • PDF

Autocorrelation Coefficient for Detecting the Frequency of Bio-Telemetry

  • Nakajima, Isao;Muraki, Yoshiya;Yagi, Yukako;Kurokawa, Kiyoshi
    • Journal of Multimedia Information System
    • /
    • v.9 no.3
    • /
    • pp.233-244
    • /
    • 2022
  • A MATLAB program was developed to calculate the half-wavelength of a sine-curve baseband signal with white noise by using an autocorrelation function, a SG filter, and zero-crossing detection. The frequency of the input signal can be estimated from 1) the first zero-crossing (corresponding to ¼λ) and 2) the R value (the Y axis of the correlogram) at the center of the segment. Thereby, the frequency information of the preceding segment can be obtained. If the segment size were optimized, and a portion with a large zero-crossing dynamic range were obtained, the frequency discrimination ability would improve. Furthermore, if the values of the correlogram for each frequency prepared on the CPU side were prepared in a table, the volume of calculations can be reduced by 98%. As background, period detection by autocorrelation coefficients requires an integer multiple of 1/2λ (when using a sine wave as the object of the autocorrelation function), otherwise the correlogram drawn by R value will not exhibit orthogonality. Therefore, it has not been used in bio-telemetry where the frequencies move around.

On the Statistical Characteristics of the New Year Wave (New Year Wave의 통계적 특성에 대하여)

  • Kim, Do Young
    • Journal of Ocean Engineering and Technology
    • /
    • v.27 no.1
    • /
    • pp.102-108
    • /
    • 2013
  • In this paper time series wave data, which were measured at the Draupner platform in the North Sea on 1995, are used to investigate statistical characteristics of nonlinear wave. Various statistical properties based on time and frequency domain are examined. The Gram-Chalier distribution fits the probability of wave elevation better than the Gaussian distribution. The skewness of wave profile is 0.393 and the kurtosis is 4.037 when the freak wave is occurred. The nonlinearity of D1520 data is higher than two adjacent wave data. AI index of the New Year Wave is 2.11 and the wave height is 25.6m. The zero crossing wave period of the New Year Wave is 12.5s which is compared to the average zero up-crossing period 11.3s. The significant steepness of wave data is 0.077 when the freak wave was occurred. H1/3/${\eta}_s$ does not increases as the kurtosis increases and the values is close to 4. The New Year Wave belongs to highly nonlinear wave data packet but the AI index is within linear focusing range.

Measurement and Statistical Analysis of Magnetic Fields Produced by Cloud Discharges (운방전에 의해 발생되는 자장의 계측과 통계적 분석)

  • Lee Bok-Hee;Gil Hyoung-.Jun;Cho Sung-Chul;Shim Eung-Bo;Woo Jung-Wook
    • The Transactions of the Korean Institute of Electrical Engineers C
    • /
    • v.54 no.6
    • /
    • pp.262-268
    • /
    • 2005
  • In this work, to obtain the detailed information about lightning electromagnetic field waveforms, the LabVIEW based-measurement system of time-changing magnetic fields was designed and constructed. The frequency bandwidth of the magnetic field measuring system ranges from 300 [Hz] to 1 [MHz], and the response sensitivity is 2.78 [mV/nT]. Data acquisition system with the resolution of 12 bits and memory capacity of 32 [Mbyte] was triggered by the magnetic field to be measured. The properties and parameters of the magnetic fields produced by cloud discharges were statistically investigated. The magnetic field waveforms radiated from cloud lighting discharges tend to be bipolar, with two or more narrow and several pulses superimposed on the initial front part. The recording length of the magnetic field measurement system is about 10 [ms]. The mean duration of cloud discharges is 1.3 [ms], and the number of outburst pulses for the period is 8 in average. The front times of the magnetic fields are 6.15 [$\mu$s] in average. The the zero-to-zero crossing times that is the initial half-cycle duration is widely dispersed and the mean value is 9.61 [$\mu$s], and the mean value of percentage depth of dip to opposite polarity is 41.1 [$\%$].

Data Acquisition of Time Series from Stationary Ergodic Random Process Spectrums (정상 에르고드성을 가지는 확률과정 스펙트럼에 대한 합리적 시계열 데이터 확보)

  • Park, Jun-Bum;Kim, Kyung-Su;Choung, Joon-Mo;Kim, Jae-Woo;Yoo, Chang-Hyuk;Ha, Yeong-Su
    • Journal of Ocean Engineering and Technology
    • /
    • v.25 no.2
    • /
    • pp.120-126
    • /
    • 2011
  • The fatigue damages in structural details of offshore plants can be accumulated due to various environmental loadings such as swell, wave, wind and current. It is known that load histories acting on mooring and riser systems show stationary and ergodic bimodal wide-banded process. This paper provides refined approach to obtain time signals representing stress range histories from wide-banded bimodal spectrum which consists of ideally narrow-banded and fully separated two spectrums. Variations of the probabilistic characteristics for time signals according to frequency and sampling time increments are compared with the reference data to be the probabilistic characteristics such as zero-crossing period, peak period, and irregularity factor obtained from an assumed ideal spectrum. It is proved that the sampling time increment more affects on the probabilistic characteristics than frequency increment. The fatigue damages according to the frequency and sampling time increments are also compared with the ones with minimum increment condition which are thought to be exact fatigue damage. It is concluded that the maximum sampling time increment to obtain reliable time signals should be determined that ratio of applied maximum sampling time increment and minimum period is less than approximately 0.08.

A Design of Programmable Low Pass Filter to Reduce the ZCP Estimation Error at High Speed BLDC Sensorless Drive (BLDC 고속 센서리스 구동의 ZCP 추정 오차 저감을 위한 Programmable Low Pass Filter 설계)

  • Seo, Eunjeong;Lee, Kangseok;Lee, Wootaik
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.63 no.1
    • /
    • pp.35-41
    • /
    • 2014
  • This paper presents a design method of programmable low pass filter(PLPF) which reduce an estimation error of a zero crossing point(ZCP) for a high speed brushless DC(BLDC) motor drive. BLDC motor sensorless drive is possible by estimation of ZCP. The ZCP estimated by detecting a change of back-EMF polarity has the estimation error because noises exist on the measured back-EMF. Therefore a calculated commutation timing using the ZCP is inaccurate. And the inexact commutation timing leads to ripples of 3-phase current and degradation of drive performance. This paper proposes the design method of the PLPF to overcome these problems. First, a speed calculated a inaccurate period of the ZCP is analyzed in the frequency domain. Then, the PLPF that has varying cut-off frequency according to change of the speed is designed on the frequency analysis result. The proposed method is verified by the experiment.

A Study on Speech Period and Pitch Detection for Continuous Speech Recognition (연속음성인식을 위한 음성구간과 피치검출에 관한 연구)

  • Kim Tai Suk;Chang jong chil
    • Journal of Korea Multimedia Society
    • /
    • v.8 no.1
    • /
    • pp.56-61
    • /
    • 2005
  • In this thesis, propose speech period and pitch detection for continuous speech recognition. This mathod is distinguishes between vowel and consonant to frame unit in continuous speech, for distinguishable voice. Powerful extraction of speech period could threshold energy make use of input signal to real noise environment. Also algorithm of this method distinguish between vowel and consonant at the same time in voice make use of zero crossing rate and short time energy to extractible speech period.

  • PDF