Vibration Frequency Analysis
Vibration Analysis Results
BPFI: 0 Hz
BSF: 0 Hz
FTF: 0 Hz
What Is Vibration Frequency?
Vibration frequency is the number of vibration cycles per second. It is measured in Hertz (Hz).
Basic Formula
[
\text{Frequency (Hz)} = \frac{\text{RPM}}{60}
]
Where:
- RPM = Rotational speed (revolutions per minute)
- Hz = Cycles per second
Example
If a machine runs at 1800 RPM:
[
\text{Frequency} = \frac{1800}{60} = 30 \text{ Hz}
]
This is called the fundamental frequency (1×).
Why Vibration Frequency Analysis Is Important
Vibration frequency analysis is widely used in:
- Predictive maintenance
- Condition monitoring
- Fault diagnosis
- Machine health monitoring
- Structural engineering
- Automotive and aerospace industries
- Power plants and manufacturing
Key Benefits
- Early fault detection
- Reduced downtime
- Lower maintenance cost
- Improved safety
- Longer equipment life
Core Components of Vibration Frequency Analysis
Modern vibration analysis involves multiple frequency types. Your calculator calculates all major frequencies used in real-world diagnostics.
1) Fundamental Frequency (1× RPM)
The fundamental frequency is the base vibration frequency of a rotating machine.
[
f_{1×} = \frac{\text{RPM}}{60}
]
This frequency is usually linked to:
- Rotor imbalance
- Shaft rotation
- Basic mechanical motion
2) Electrical Frequency
Electrical frequency depends on the number of motor poles.
[
f_{electrical} = f_{1×} \times \text{Pole Multiplier}
]
Typical pole multipliers:
| Poles | Multiplier |
|---|---|
| 2 | 1.0 |
| 4 | 0.5 |
| 6 | 0.333 |
| 8 | 0.25 |
| 10 | 0.2 |
Electrical frequency is useful for detecting:
- Motor electrical faults
- Magnetic imbalance
- Power supply issues
3) Harmonic Frequencies (n×)
Harmonics are multiples of the fundamental frequency.
[
f_{harmonic} = f_{1×} \times n
]
Where:
- n = harmonic order (1, 2, 3, 4, 5…)
Examples:
- 2× frequency → misalignment
- 3× frequency → looseness
- Higher harmonics → structural resonance or faults
4) Gear Mesh Frequency (GMF)
Gear mesh frequency occurs when gear teeth engage.
[
f_{gear} = f_{1×} \times \text{Gear Ratio}
]
Gear mesh frequency helps identify:
- Gear wear
- Tooth damage
- Backlash
- Gear misalignment
5) Blade Pass Frequency (BPF)
Blade pass frequency occurs in fans, turbines, and impellers.
[
f_{blade} = f_{1×} \times \text{Number of Blades}
]
Blade pass frequency indicates:
- Blade defects
- Flow turbulence
- Aerodynamic issues
- Fan imbalance
6) Bearing Frequencies
Bearings generate specific frequencies when defects occur.
Your calculator computes four key bearing frequencies:
(a) BPFO – Ball Pass Frequency Outer Race
[
BPFO = f_{1×} \times \text{BPFO Factor}
]
Indicates defects on the outer race.
(b) BPFI – Ball Pass Frequency Inner Race
[
BPFI = f_{1×} \times \text{BPFI Factor}
]
Indicates defects on the inner race.
(c) BSF – Ball Spin Frequency
[
BSF = f_{1×} \times \text{BSF Factor}
]
Indicates rolling element defects.
(d) FTF – Fundamental Train Frequency
[
FTF = f_{1×} \times \text{FTF Factor}
]
Indicates cage or retainer defects.
Bearing Type Influence
Different bearing types have different frequency factors:
- Ball bearings
- Deep groove ball bearings
- Cylindrical roller bearings
- Tapered roller bearings
- Angular contact bearings
This is why your calculator allows bearing selection.
How Vibration Frequency Analysis Works in Practice
Step 1: Measure RPM
Measure the machine rotational speed.
Step 2: Convert RPM to Frequency
Use the formula:
[
f = \frac{RPM}{60}
]
Step 3: Calculate Key Frequencies
- Fundamental frequency
- Electrical frequency
- Harmonics
- Gear mesh frequency
- Blade pass frequency
- Bearing defect frequencies
Step 4: Compare with Measured Data
Compare calculated frequencies with vibration spectrum data from sensors.
Step 5: Identify Faults
If measured peaks match calculated frequencies, faults can be identified.
Common Faults Detected by Frequency Analysis
| Frequency Pattern | Possible Fault |
|---|---|
| 1× RPM peak | Imbalance |
| 2× RPM peak | Misalignment |
| Multiple harmonics | Looseness |
| Gear mesh frequency | Gear damage |
| BPFO/BPFI peaks | Bearing defects |
| Blade pass frequency | Fan blade issues |
| Electrical frequency | Motor faults |
Example Calculation (Real Case)
Assume:
- RPM = 1800
- Poles = 4
- Gear ratio = 2.5
- Blades = 12
- Harmonic = 3
Step 1: Fundamental Frequency
[
f_{1×} = \frac{1800}{60} = 30 \text{ Hz}
]
Step 2: Electrical Frequency
[
f_{electrical} = 30 \times 0.5 = 15 \text{ Hz}
]
Step 3: Gear Mesh Frequency
[
f_{gear} = 30 \times 2.5 = 75 \text{ Hz}
]
Step 4: Blade Pass Frequency
[
f_{blade} = 30 \times 12 = 360 \text{ Hz}
]
Step 5: Harmonic Frequency
[
f_{harmonic} = 30 \times 3 = 90 \text{ Hz}
]
These values help engineers interpret vibration spectra.
Applications of Vibration Frequency Analysis
Industrial Machines
- Motors
- Pumps
- Compressors
- Gearboxes
Energy Sector
- Turbines
- Generators
- Windmills
Automotive Industry
- Engines
- Transmissions
- Bearings
Structural Engineering
- Bridges
- Buildings
- Towers
Aerospace
- Aircraft engines
- Rotating components
Advantages of Using a Vibration Frequency Calculator
A vibration frequency calculator simplifies complex calculations.
Key Advantages
- Fast and accurate results
- Multiple frequency outputs
- Fault prediction support
- User-friendly analysis
- Engineering decision support
Your calculator provides:
- Fundamental frequency
- Electrical frequency
- Gear mesh frequency
- Bearing frequencies
- Blade pass frequency
- Harmonic frequency
This makes it a complete vibration analysis tool.
Limitations of Vibration Frequency Analysis
Although powerful, vibration analysis has limitations:
- Results are theoretical
- Real conditions may vary
- Noise can affect measurements
- Load and environment influence vibrations
Therefore, calculated values should always be verified with actual sensor data.
Best Practices for Accurate Analysis
- Use calibrated sensors
- Measure RPM accurately
- Analyze multiple harmonics
- Compare trends over time
- Combine vibration analysis with temperature and acoustic data






