摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-关于支持Vecto R机器的最新研究结果已经发表。根据NewsRx记者对澳大利亚Gol D Coast的新闻报道，研究表明：“本文分析了振动监测中传感器饱和和信号失真、传感器松动和脱落等常见的信号完整性问题，并提出了一种利用一类支持向量机检测振动信号完整性问题发生的方法。”由于传感器饱和和/或传感器分离而引起失真的振动信号重新分析以确定对常见完整性问题敏感的参数。这项研究的财政支持来自格里菲斯大学黄金海岸分校。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Support Vecto r Machines have been published. According to news reporting originating from Gol d Coast, Australia, by NewsRx correspondents, research stated, "This paper prese nts an analysis of the common signal integrity issues in vibration monitoring ca used by sensor saturation and signal distortion, or sensor loosening and detachm ent, and the development of a method of detecting the occurrence of vibration si gnal integrity issues using a one-class support vector machine. For this, vibrat ion signals with distortions due to sensor saturation and/or sensor detachment a re analysed to determine parameters sensitive to common integrity issues." Financial support for this research came from Griffith University - Gold Coast C ampus.
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