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首页> 外文期刊>WSEAS Transactions on Signal Processing >A Study on Ultrasonic Signals Processing Generated From Automobile Engine Block Using Statistical Analysis
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A Study on Ultrasonic Signals Processing Generated From Automobile Engine Block Using Statistical Analysis

机译：基于统计分析的汽车发动机缸体超声信号处理研究

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摘要

The development of statistical analysis has played an important part in studying large data that captured from engine block as apart of engine monitoring and diagnose. Within this paper the application of statistical analysis was introduced by utilizing Kurtosis, I-kaz coefficient, and Crest Factor and Skewness parameter. There is potential that these statistical parameters could serve as pattern recognition to identify engine type and characteristic. The study was performed in two stages. The first stage is an experimental process that uses two three-cylinder automobile 845 cc and 850 cc engines and two four-cylinder automobile 1468 cc and 1784 cc engines which run under idle condition. In the second stage, the plots of signal's statistical parameter based on the engine type were done accordingly. As a result, the plot of the statistical parameter against I-kaz coefficient shows an excellent classification pattern. The pattern was useful in determining engine type for signal confirmation and engine fault detection
机译：统计分析的发展在研究从发动机缸体捕获的大数据中起到了重要作用，这是对发动机进行监控和诊断的一部分。在本文中，利用峰度，I-kaz系数以及波峰因数和偏度参数介绍了统计分析的应用。这些统计参数有可能用作模式识别，以识别发动机类型和特性。该研究分两个阶段进行。第一阶段是实验过程，该过程使用两个在怠速条件下运行的三缸汽车845 cc和850 cc发动机以及两个四缸汽车1468 cc和1784 cc的发动机。在第二阶段，根据发动机类型相应地绘制信号统计参数。结果，统计参数对I-kaz系数的曲线图显示了出色的分类模式。该模式对于确定发动机类型以进行信号确认和发动机故障检测很有用

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