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Bearing Defect Frequencies: BPFO, BPFI, BSF and FTF

Bearing Defect Frequencies: BPFO, BPFI, BSF and FTF

Understand BPFO, BPFI, BSF and FTF bearing defect frequencies: how they are derived from bearing geometry, why they are non-synchronous, and what each reveals.
Bearing Defect Frequencies: BPFO, BPFI, BSF and FTF

Bearing Defect Frequencies: BPFO, BPFI, BSF and FTF are the four characteristic vibration frequencies a rolling-element bearing generates once a localized fault develops on one of its working surfaces. Each defect frequency points to a specific component, and because they are derived from the internal geometry of the bearing rather than from a whole number of shaft revolutions, they appear at non-integer multiples of running speed. Recognizing them in a spectrum is the core skill behind rolling-element bearing diagnostics.

The four characteristic frequencies

A defect creates a repetitive impact every time a rolling element passes over it, or every time the defect passes through the load zone. The repetition rate is fixed by ball count, ball and pitch diameter, contact angle and shaft speed. The four frequencies are:

  • BPFO (Ball Pass Frequency, Outer race) - the rate at which rolling elements pass a single point on the stationary outer race. Indicates an outer-race defect.
  • BPFI (Ball Pass Frequency, Inner race) - the rate at which rolling elements pass a point on the rotating inner race. Indicates an inner-race defect.
  • BSF (Ball Spin Frequency) - the rotational frequency of a rolling element about its own axis. Indicates a defect on a ball or roller. A single defect strikes both races per revolution, so 2 x BSF is often the dominant line.
  • FTF (Fundamental Train Frequency) - the rotational frequency of the cage that carries the rolling elements. Indicates cage wear or looseness. Always below running speed, typically 0.35 to 0.45 x RPM.

The governing equations

With N rolling elements, ball diameter d, pitch diameter D, contact angle theta, and shaft rotational frequency fr (in Hz), the four frequencies are:

  • BPFO = (N / 2) x fr x (1 - (d / D) cos theta)
  • BPFI = (N / 2) x fr x (1 + (d / D) cos theta)
  • BSF = (D / 2d) x fr x (1 - (d / D)^2 cos^2 theta)
  • FTF = (1 / 2) x fr x (1 - (d / D) cos theta)

A useful sanity check: BPFO + BPFI = N x fr exactly, and BPFO = N x FTF. If the geometry is unknown, the ratios can be estimated (BPFO is roughly 0.4 x N x RPM and BPFI roughly 0.6 x N x RPM), but published bearing tables or the manufacturer part number give exact values.

Worked example: a 6205 deep-groove ball bearing

A 6205 has N = 9 balls, d = 7.94 mm, D = 39.04 mm and a contact angle of 0 degrees. Running at 1800 RPM (fr = 30 Hz), the calculated frequencies and their multiples of running speed are shown below. These multipliers are constants for the bearing; only the absolute Hz values change with speed.

FrequencyComponent indicatedMultiple of RPM (6205)Value at 1800 RPM (Hz)
BPFOOuter race defect3.585 x107.5
BPFIInner race defect5.415 x162.5
BSFRolling element defect2.357 x70.7
FTFCage / train0.398 x11.9

Note that none of these land on 1x, 2x or 3x running speed. That non-synchronous behavior is exactly what separates a bearing fault from imbalance, misalignment or looseness, which sit on integer harmonics.

Why the frequencies are non-synchronous

Because each equation contains the ratio d/D, the multipliers are non-integer values rather than whole numbers. This has two practical consequences. First, defect lines never coincide exactly with the 1x running-speed family, so they can be isolated even when a machine also has imbalance. Second, a small amount of skidding under light load shifts the real frequencies slightly below the calculated values, so analysts allow a tolerance of a few percent when matching a peak. Sidebands spaced at running speed (around BPFI) or at FTF (around BSF) confirm that a defect is moving through the load zone.

Extracting the frequencies: envelope analysis

Early bearing impacts are low in energy but excite the bearing and structure at their high natural frequencies, ringing in the 1 to 20 kHz range. On a raw velocity spectrum this energy is buried in the noise floor, so the defect frequencies are effectively invisible at first. Envelope detection, also called demodulation or the envelope spectrum, solves this. The signal is band-pass filtered around the resonant ringing zone, then rectified and low-pass filtered to recover the envelope of the impact bursts. An FFT of that envelope reveals BPFO, BPFI, BSF or FTF and their harmonics long before they appear in the ordinary spectrum. Envelope analysis is a standard part of vibration spectrum analysis, and it pairs well with high-frequency techniques such as the shock pulse method for the very earliest detection.

The four stages of bearing failure

Bearing degradation follows a recognized four-stage progression, and knowing the stage tells you how much warning time remains:

  • Stage 1: Sub-surface damage appears only in the ultrasonic region (roughly 20 to 60 kHz) via acoustic emission or spike-energy measurements. Nothing shows in the velocity spectrum. The largest portion of remaining life sits here.
  • Stage 2: Slight surface defects begin to ring the bearing natural frequencies (around 500 Hz to 2 kHz). Defect frequencies emerge in the envelope spectrum, often with sidebands.
  • Stage 3: Discrete defect frequencies and their harmonics are clearly visible in the velocity spectrum with growing sideband families. Wear is now measurable and replacement should be scheduled.
  • Stage 4: Discrete lines may actually drop in amplitude and be replaced by a raised broadband noise floor as the defect spreads and clearances open up; the 1x running-speed amplitude climbs. Failure is imminent and the machine should be taken offline.

Turning detection into action

Identifying a Stage 2 outer-race defect is only useful if it drives a work order before the bearing reaches Stage 4. Teams using Fabrico attach the measured defect frequency, stage and trend to the asset record, so the condition-monitoring reading automatically raises a planned replacement task with the correct bearing part number and torque spec. That closes the loop between diagnosis and the shop floor. Understanding calculated service life through L10 bearing life helps set sensible re-inspection intervals once a defect is confirmed. To see the workflow end to end, Book a Fabrico demo.

Frequently Asked Questions

Why is BPFI usually higher in amplitude than BPFO for the same severity?

An inner-race defect rotates in and out of the load zone once per shaft revolution, so its impacts are modulated by running speed and spread energy into sidebands. It also sits deeper in the load path. This often makes inner-race faults harder to detect early but produces the characteristic running-speed sidebands around BPFI once established.

What does 2 x BSF being dominant mean?

A single defect on a rolling element contacts both the inner and outer race once per element revolution, generating two impacts per turn. That is why the ball spin fault frequently shows up strongest at twice BSF rather than at the fundamental, usually flanked by FTF sidebands.

Can I find bearing faults without exact bearing geometry?

Yes, approximately. BPFO is close to 0.4 x N x RPM and BPFI close to 0.6 x N x RPM, so even with only the ball count you can search the right region of the spectrum. For confirmation, look up the exact defect multipliers from the manufacturer or a bearing database, since a few percent error can cause you to misread a peak.

How much warning does envelope analysis give?

It varies with speed, load and lubrication, but envelope detection typically flags a defect in Stage 2, well before the fault is visible in a standard velocity spectrum. That commonly translates into weeks or months of planning time, which is the entire value of catching bearings early rather than reacting at Stage 4.

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