Platform Features · Real-Time FFT Analysis
Spectra streaming live — not in next month's report.
Real-time FFT converts vibration into live spectra at the edge — bearing defect frequencies, gear mesh sidebands and imbalance signatures identified as they develop, feeding accurate predictive maintenance.
Streaming FFTDefect-frequency IDGear-mesh & sidebandsWaterfall trendsEnvelope analysisEdge processing
BPFO and its harmonic are rising while overall RMS still looks normal: outer-race defect, staged watch.
IllustrativeTRI-AXIAL · 2,400 RPM
The problem it kills
Accuracy in predictive maintenance is a frequency-domain problem.
LAG
Analysis that arrives late
Quarterly vibration surveys photograph a moving object. Streaming FFT watches the film — degradation visible the week it starts.
NOISE
Overall RMS hides the story
A healthy overall level can hide a screaming defect frequency. Band-resolved spectra see the needle, not just the haystack.
EXPERTS
Spectra without interpreters
Raw waterfalls need specialists. We annotate: which frequency, which component, which action — in plain language.
How it works
Real-Time FFT Analysis, the MachineWise way.
Deployed software-first in under an hour, included in one subscription — no per-module licensing.
COMPUTE
FFT at the edge
- Continuous spectra from tri-axial sensors
- Envelope analysis for early bearing faults
- Order tracking on variable-speed drives
- Efficient edge processing — no raw-data floods
IDENTIFY
Frequencies with names
- BPFO/BPFI/BSF bearing frequencies matched
- Gear-mesh and sideband tracking
- Imbalance, misalignment, looseness separation
- Per-machine frequency maps auto-built
PREDICT
Feeding accurate PdM
- Defect-band trends drive health scores
- Time-to-fault estimates sharpened by spectra
- Waterfall history for every escalation
- Evidence trail for warranty claims
LiveSpectra streaming, not surveyed
NamedDefect frequencies identified
SharperPdM accuracy from frequency data
Keep exploring
Goes deeper with the rest of the platform.
Questions
Straight answers.
What is FFT vibration analysis?
A Fast Fourier Transform splits a vibration signal into its frequencies, so each peak can be tied to a cause: running speed for imbalance, bearing defect frequencies, gear mesh and its sidebands. MachineWise computes these spectra continuously at the edge instead of in a quarterly survey.
Why is overall vibration (RMS) not enough?
An overall level can stay in the healthy band while one defect frequency is growing underneath it. Band-resolved spectra show that defect early, which is where predictive maintenance accuracy comes from.
What are BPFO, BPFI and BSF?
They are bearing defect frequencies: ball pass frequency outer race, ball pass frequency inner race and ball spin frequency, set by bearing geometry and shaft speed. Work them out with the bearing frequency calculator; MachineWise matches spectral peaks to them and names the component in plain language.
What is envelope analysis used for?
Envelope analysis pulls out the repeating impacts of an early bearing fault that are buried in the raw spectrum, so it usually gives the earliest indication of damage. Those defect-band trends feed predictive maintenance health scores with 48-96 h early warning.
Ready when you are
See Real-Time FFT Analysis running on machines like yours.
A 30-minute walkthrough on a live dashboard seeded with your machine types. No obligation.