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    • 9. 发明授权
    • Vibration monitor and monitoring method
    • 振动监测和监测方法
    • US5847658A
    • 1998-12-08
    • US689787
    • 1996-08-13
    • Atsushi IrieKiyotoshi OkuraAtsushi OsadaYoshiyuki MoritaHidenobu UmedaYukio OgawaKoichi FurusawaNaoki Fujimoto
    • Atsushi IrieKiyotoshi OkuraAtsushi OsadaYoshiyuki MoritaHidenobu UmedaYukio OgawaKoichi FurusawaNaoki Fujimoto
    • G01H1/00G08B21/00
    • G01H1/00
    • The object of this invention is to produce a monitor which can correctly distinguish normal from abnormal vibration using automatically selected monitoring features and algorithms. The monitor can be used with a variety of devices with different vibration characteristics. The monitor according to this invention has a sensor that detects the vibration of an object. The monitor is operated in learning mode when the object is vibrating normally. The waveform of the vibration detected by this sensor is sampled over an appropriate period and analyzed. The data for each sampling feature are subjected to statistical processing, and the data which evince slight change are extracted as monitoring features. A monitoring algorithm is automatically made for these monitoring features. The algorithm selected in learning mode are used to evaluate the vibration of an object when the monitor is in operating mode. The operator does not need to set up the algorithm, and can monitor the object with a more reliable algorithm than the conventional one selected by fixed monitoring features.
    • 本发明的目的是产生一种能够使用自动选择的监视特征和算法来正确区分正常与异常振动的监视器。 显示器可以与各种具有不同振动特性的设备一起使用。 根据本发明的监视器具有检测物体的振动的传感器。 当物体正常振动时,显示器以学习模式运行。 由该传感器检测到的振动波形在适当的时间内进行采样并进行分析。 对每个采样特征的数据进行统计处理,提取出轻微变化的数据作为监测特征。 自动对这些监控功能进行监控。 在学习模式下选择的算法用于在监视器处于操作模式时评估对象的振动。 运算符不需要设置算法,并且可以使用比通过固定监视功能选择的常规算法更可靠的算法来监视对象。