A field team faces an unresolved physical question: Why must bearing-fault sampling be settled before compression? They must answer it before changing sample rate on the real device. Predict the direction first.
See the relationship before changing it
The figure reads from left to right. The blue card is sample rate. The middle card applies this page's relationship. The green card is shaft. Walk the arrows once: set the input, apply the rule, then read the result with its unit.
The retained audit below checks several chapter fixtures. This added model holds every other chapter fixture fixed, so the numeric fixture does not switch without explanation.
Derive the baseline in four named moves
- 1
Name the input. The chapter baseline for sample rate is 4000.
- 2
Name the relationship. 1,800/60 = 30.0 Hz; 8(30) = 240 Hz; 3(240) = 720 Hz Nyquist minimum = 1,440 Hz; 2.5x target = 3,600 Hz 4,000(2) = 8,000 B/s; 8,000/120 = 66.7x; 16 bit = 98.1 dB
- 3
Substitute the chapter fixture. Set sample rate to 4000. The page ledger gives shaft as 30.0 Hz.
- 4
Read the result. Keep Hz beside the value. Use it only inside the technical boundary on this page.
Predict, then change sample rate
Try Predict the direction of shaft. Move one control, calculate, then check your prediction.
Observe Choose filtering and sampling first, then prove that the 120 B/s feature record retains the decision evidence. Reset the control to 4000 and compare shaft.
Explain Only sample rate moves here. The other chapter fixtures remain fixed.
Check yourself
What should you do before trusting a moved-control result?
What does this small model leave out?
1. Start with rotation
The shaft sets a base frequency. Bearing geometry creates a fault component; its retained harmonics set the acquisition band.
2. Name every algebra move
Convert minutesfshaft=RPM/60.
Multiply geometryffault=nfshaft.
Keep the harmonicfh=3ffault.
Double and marginfs,target=2.5(2fh).
Compare payloadsratio=raw bytes/feature bytes.
3. Reproduce the chapter
Nyquist minimum = 1,440 Hz; 2.5× target = 3,600 Hz
4,000(2) = 8,000 B/s; 8,000/120 = 66.7×; 16 bit = 98.1 dB
At only 100 Hz, the 240 Hz component folds to 40.0 Hz.
4. Try the sample rate
TryMove from an unsafe rate toward the 4 kHz design.
ObserveThe physical frequencies stay fixed while alias location and raw payload move with sample rate.
ExplainChoose filtering and sampling first, then prove that the 120 B/s feature record retains the decision evidence.
The bearing relation is a simplified teaching chain.
- Geometry
- No contact angle, slip, load, or exact bearing kinematics
- Sampling
- No anti-alias filter response or spectral leakage
- Compression
- No proof that top peaks retain every fault mode
Validate spectra and decisions on the target machine.
5. Preserve anomaly context
Transmit compact features routinely but retain raw windows around anomalies for audit and model change.
6. Bind the release
Version bearing assumptions, sensor mounting, filter, sample rate, window, FFT, selected peaks, and raw retention.
7. Check yourself
Why is the third harmonic 720 Hz?
Why is 4 kHz above strict Nyquist?
Does 66.7× prove evidence retention?
The rotation, element count, harmonic, rate, and payloads are the chapter case.
- 1,800 RPM, 8, third
- Teaching bearing chain
- 4 kHz, 2 B
- Chapter raw record
- 120 B/s
- Chapter feature record
Correct, not complete: sampling and byte arithmetic do not qualify condition monitoring.
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