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Driving sound diagnosis system, driving sound diagnosis method, and machine learning device for driving sound diagnosis system

机译:驾驶声音诊断系统,驾驶声音诊断方法以及用于驾驶声音诊断系统的机器学习装置

摘要

The drive sound diagnostic system (10) includes a drive sound detection unit (11) that detects a drive sound of an actuator or a driven machine, a drive position of an actuator, a drive speed, or a driving state detection that acquires force generated by driving in time series. A section (12), a sound vibration time series spectrum acquisition section (15), a feature point extraction section (16) and a factor determination section (18). The sound vibration time series spectrum acquisition unit outputs the time series spectrum in which the power of the frequency spectrum calculated from the time series data of the driving sound is associated with the frequency and the time. The feature point extraction unit outputs feature point data that is a combination of the frequency of the feature point in the time-series spectrum, the time, and the drive position, drive speed, or force generated by the drive of the actuator at that time. The factor determination unit compares the numerical value range and the numerical value of the characteristic point data when the combination of the frequency or time containing the characteristic point for each phenomenon and the driving data at that time is made into the multidimensional data, and the driving sound is generated. Determine the factors.
机译:驾驶声音诊断系统(10)包括:驾驶声音检测单元(11),其检测致动器或被驱动机器的驾驶声音;致动器的驱动位置;驱动速度;或获取产生的力的驾驶状态检测。通过按时间序列驱动。部分(12),声音振动时间序列频谱获取部分(15),特征点提取部分(16)和因子确定部分(18)。声音振动时间序列频谱获取单元输出时间序列频谱,在该时间序列频谱中,根据行驶声音的时间序列数据计算出的频谱的功率与频率和时间相关联。特征点提取单元输出特征点数据,该特征点数据是时间序列频谱中的特征点的频率,时间以及驱动位置,驱动速度或当时由致动器的驱动产生的力的组合。当将包含每种现象的特征点的频率或时间与当时的驱动数据的组合作为多维数据时,因子确定单元比较特征点数据的数值范围和数值,以及驱动产生声音。确定因素。

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