Vibration Frequency Analysis

Vibration Frequency Analysis

Vibration Analysis Results

Fundamental Frequency (1×) 0 Hz
Electrical Frequency 0 Hz
Gear Mesh Frequency 0 Hz
Bearing Frequencies BPFO: 0 Hz
BPFI: 0 Hz
BSF: 0 Hz
FTF: 0 Hz
Blade Pass Frequency 0 Hz
Selected Harmonic (n×) 0 Hz
Results are theoretical values for analysis. Actual vibration frequencies may vary based on mechanical condition, load, and environmental factors. Always verify with direct measurement.

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:

PolesMultiplier
21.0
40.5
60.333
80.25
100.2

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 PatternPossible Fault
1× RPM peakImbalance
2× RPM peakMisalignment
Multiple harmonicsLooseness
Gear mesh frequencyGear damage
BPFO/BPFI peaksBearing defects
Blade pass frequencyFan blade issues
Electrical frequencyMotor 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