the radiation source signals for testing

In the paper, the radiation source signals for testing are from Case Western Reserve University Bearing Data Center. The database has been a standard dataset for testing the effectiveness of feature extraction algorithm and pattern recognition algorithm. Besides, the sampled signals of the database are full of random mechanical noise, which makes the test closer to the real situation. The motor drive end rotor is supported by a test bearing, where a single point of failure is set through discharge machining. The radiation source signals of bearing vibration data used for analysis are obtained under the motor speed of 1797 r/min and load of 0 horsepower. An accelerometer is installed on the motor drive end housing with a bandwidth of up to 5000 Hz, and the vibration data for the test bearing under different fault patterns is collected by a recorder as the radiation source signals, in which the sampling frequency is 12 kHz. The fault types contain outer race fault, the inner race fault, and the ball fault, and the fault diameters, i.e., fault severities, contain 28 mils, 21 mils, 14 mils and 7 mils. Totally 11 types of radiation source signals of bearing vibration data considering different fault categories and fault severities are analyzed, as seen in Table 1. Each data sample is made up of 2048 time series points. For those 550 data samples, each of those 550 data sample are different with different random mechanical noise. Among them, 110 data samples are chosen randomly for the establishment of the knowledge base, with the rest 440 data samples taken as testing data samples.本研究中用于测试的辐射源信号取自凯斯西储大学轴承数据中心（Case Western Reserve University Bearing Data Center）。该数据库已成为验证特征提取算法与模式识别算法有效性的标准基准数据集。此外，该数据库的采样信号混杂随机机械噪声，使得测试场景更贴近实际工业工况。 试验轴承支撑电机驱动端转子，通过放电加工在轴承表面设置单点故障。本次分析所用的轴承振动辐射源信号采集于电机转速1797 r/min、负载0马力的工况条件下。在电机驱动端壳体上安装带宽可达5000 Hz的加速度传感器，通过采样频率为12 kHz的记录仪采集不同故障模式下试验轴承的振动数据，并将其作为辐射源信号。 故障类型涵盖外圈故障、内圈故障与滚动体故障，故障直径（即故障严重程度）包含28密耳、21密耳、14密耳与7密耳。综合不同故障类别与故障严重程度，共存在11类轴承振动辐射源信号，详见表1。 每份数据样本由2048个时间序列点组成。本次共获取550组数据样本，每组样本均带有独特的随机机械噪声且互不重复。随机选取其中110组数据样本构建知识库，剩余440组作为测试样本集。