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  • Seismogram Analysis of Indonesian Earthquakes at DAV Observation Station

    The S-wave velocity across the earth structure under Indonesia for Indonesia earthquakes has been investigated through seismogram analysis, simultaneously in the time domain and three Cartesian components. The data were recorded at DAV observational station, the Philippines. The main data set is the seismogram comparison between the measured and synthetic seismogram, instead of travel time data, as commonly used in other seismological research. The synthetic seismogram is calculated using the GEMINI method, which is equivalent to Mode Summation.The above seismogram comparison shows that the global earth mantle of PREMAN gives a deviating synthetic seismogram and has earlier arrival times than those of the measurement. The gradient of βh in the upper mantle layers is altered into a positive, rather than negative slope as stated in the PREMAN model, and negative corrections are imposed to the zero order of the polynomial's coefficients in all earth mantle layers. The excellent fitting, as well as travel time or waveform, is obtained from the surface waves of Love and Rayleigh, surface wave to the S and SS mantle waves as well as the core reflected waves.This result expresses that part of the earth mantle, due to a collision between India and Asia tectonic released zones, has a negative anomaly in S-wave velocity and vertical anisotropy in all of the earth mantle layers....

    2020-12-06 21:11:24浏览:39 SeismogramAnalysisVerticalanisotropynegativevelocityanomaly

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  • Improved K-means Algorithm for Manufacturing Process Anomaly Detection and Recognition

    Anomaly detection and recognition are of prime importance in process industries. Faults are usually rare, and, therefore, predicting them is difficult. In this paper, a new greedy initialization method for the K-means algorithm is proposed to improve traditional K-means clustering techniques. The new initialization method tries to choose suitable initial points, which are well separated and have the potential to form high-quality clusters. Based on the clustering result of historical disqualification product data in manufacturing process which generated by the Improved-K-means algorithm, a prediction model which is used to detect and recognize the abnormal trend of the quality problems is constructed. This simple and robust alarm-system architecture for predicting incoming faults realizes the transition of quality problems from diagnosis afterward to prevention beforehand indeed. In the end, the alarm model was applied for prediction and avoidance of gear-wheel assembly faults at a gear-plant....

    2020-11-11 22:33:38浏览:19 dataminingclusteringqualitymanagementanomalydetectionandrecognition

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  • 循环水系统氨泄漏的判断及处理措施

    分析合成氨装置循环水系统氨泄漏的危害,阐述如何根据异常现象进行判断,并提出消除泄漏源、调整循环水pH值、增加水处理剂用量、降低浓缩倍数运行等处理措施。...

    2020-11-10 09:33:08浏览:31 循环水系统氨泄漏危害异常现象处理措施circulatingwatersystemammonialeakhazardanomaly

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