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How to Conduct Vibration Analysis on Components of Automated Equipment

自动化设备零部件振动分析:FFT频谱快速傅里叶变换将时域波形转频域频谱(每个垂直峰值谱线代表一个离散振源+读取频谱识别谱线频率相对转频和轴承几何+振幅是否增长);故障特征频率1x转频=不平衡+2x=不对中+BPFI/BPFO轴承滚道缺陷+BSF/FTF滚动体保持架+GMF齿轮啮合频率(峰值确认故障类型严重度看振幅);传感器选择加速度计最常用(宽频耐用易用压电/MEMS灵敏度mV/g)+stud-mount安装频率响应最佳磁吸探头适合快速非永久测量+低速机械用速度传感器或位移探头;量测选择加速度g适合高频轴承故障用包络分析+速度mm/s RMS按ISO 10816评估整体状态+位移µm峰峰值用于低频轴相对位移+包络解调揭示高频冲击重复模式;采样要求奈奎斯特采样率必须超2倍最高分析频率(5kHz分析需10kS/s最低)+12秒@10kS/s=120000样本/通道;诊断流程时域波形查冲击摩擦+FFT频谱查特征峰+相位分析判振源+振幅增长趋势+基线数据存CMMS资产档案。

How to Perform Vibration Analysis on Automation Equipment Components

Vibration Analysis: The FFT spectrum is the core diagnostic tool (Source: Tractian); Golden Rule: 1x = Unbalance, 2x = Misalignment (Source: Tractian); Core Concept: Fault characteristic frequencies (Source: iFactory)—Note: Sampling rate ≥ 2x the highest frequency (Source: Industrial).

I.
FFT Spectrum

FFT: Fast Fourier Transform (Time Domain → Frequency Domain) (Source: PLC IO); Spectral Lines: Each peak = one vibration source (Source: PLC IO); X-axis: Frequency; Y-axis: Amplitude (Source: STEM); Diagnosis: Peak location identifies the fault (Source: Tractian)—FFT: Spectral localization (core method).

II.
Characteristic Frequencies

1x: Rotational frequency = Unbalance (Source: Tractian); 2x: = Misalignment (Source: Tractian); BPFI/BPFO: Bearing raceway defects (Source: iFactory); BSF/FTF: Rolling element/Cage (Source: iFactory); GMF: Gear Mesh Frequency (Source: iFactory)—Characteristics: 1x/2x/BPFO/GMF (Fault fingerprints).

III. Sensor Selection

Accelerometer: Most common, wide-bandwidth, and durable (Source: STEM); Type: Piezoelectric/MEMS (Source: STEM); Sensitivity: mV/g (Source: STEM); Mounting: Stud-mount offers the best frequency response (Source: STEM); Low Speed: Use velocity/displacement probes for low speeds (Source: STEM)—Sensor: Accelerometer + stud-mount (mounting is critical).

IV.
Measurement Selection

Acceleration: g (high frequency) + bearing envelope (Source: Engineering); Velocity: mm/s RMS per ISO 10816 (Source: Engineering); Displacement: µm peak-to-peak (low frequency, shaft-relative) (Source: Engineering); Envelope: Demodulation of high-frequency impacts (Source: F7i); Ultrasonic: Heterodyning down to audible range (Source: F7i)—Measurement: High-frequency acceleration + ISO velocity (dual-track).

V.
Sampling Requirements

Nyquist: Sampling rate ≥ 2× maximum frequency (Source: Industrial); Example: 5 kHz analysis requires 10 kS/s (Source: Industrial); Data Volume: 12 seconds @ 10 kS/s = 120,000 points (Source: Industrial); Baseline: Spectrum capture at normal speed and load (Source: Cryotos); Operating Conditions: Record speed, load, and temperature (Source: Cryotos)—Sampling: 2× frequency (for valid data).

VI. Diagnostic Process

Time Domain: Check raw waveforms for impacts (Source: Cryotos); Frequency Spectrum: Use FFT to identify characteristic peaks (Source: Cryotos); Phase: Analyze coupled systems to pinpoint the source (Source: Dynamox); Trend: Monitor amplitude growth (Source: PLC IO); CMMS: Establish baselines in the asset database (Source: Cryotos)—Process: Time Domain + Spectrum + Trend (Three-step diagnosis).

VII.
Procurement Recommendations

First, select sensors (accelerometers); second, measure quantitatively (velocity/ISO standards); third, configure sampling (2× frequency); fourth, establish baselines (asset database);
fifth, incorporate phase analysis (coupling/source identification)—Vibration Analysis: Spectrum + Sensors + Baseline (Three-element closed loop).

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