Engineering Service

Vibration Analysis Software Development

Design vibration and structural dynamics tools that support fatigue, durability, structural health monitoring, and predictive maintenance decisions β€” grounded in validated signal processing, fracture mechanics, and SigProc workflows. From data acquisition to damage indicator dashboards.

Expected Outcomes

  • More reliable vibration diagnostics and structural condition assessment
  • Better fatigue-risk visibility in test and field conditions through rainflow counting and damage spectrum analysis
  • Consistent signal-processing pipelines across teams using standardized SigProc workflows
  • Early predictive maintenance signals before structural degradation becomes critical

What's in Scope

  • FFT, PSD, filtering, and advanced signal conditioning
  • Fatigue workflows including rainflow counting, damage metrics, and fatigue damage spectrum (FDS)
  • Acquisition-to-report pipelines for structural analysis and health monitoring
  • Real-time alerting dashboards for condition-based maintenance programs

What we've built

Real implementations in this service area

Delivered

FDSynth β€” fatigue damage spectrum to PSD

A web application that converts field fatigue damage spectra into equivalent PSD profiles for shaker testing β€” automating the synthesis workflow used by durability test teams.

Delivered

SigProc β€” vibration signal processing platform

A Python-based signal processing platform for structural analysis: FFT, PSD, octave-band analysis, rainflow counting, and multi-channel synchronization from raw DAQ exports.

Delivered

Automated PSD synthesis pipeline

An end-to-end automation of the field-data-to-test-profile workflow for an automotive durability lab β€” reducing turnaround from days to hours per test campaign.

What this could look like for you

Realistic use cases we could build in this domain

Possible use case

Bridge structural health monitoring system

A real-time monitoring platform processing accelerometer arrays on bridge spans β€” computing modal frequency shifts and damage indicators for maintenance planning.

Possible use case

Bearing condition monitoring tool

An acoustic emission and vibration analysis tool for detecting early-stage bearing wear in rotating machinery β€” with envelope spectrum analysis and alarm thresholds.

Possible use case

Multi-channel fatigue damage scoring pipeline

An automated pipeline ingesting multi-axis field data and outputting per-channel fatigue life estimates, enabling faster fleet durability assessment.

Industries We Serve

Durability and test labsIndustrial equipment monitoringAutomotive and heavy machineryResearch and certification teams

Ready to scope your project?

Get a technical assessment from an engineer who understands your domain β€” not a sales team.

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Frequently Asked Questions

Common questions about this service area and how we approach it.

What is vibration analysis software used for?

Vibration analysis software processes accelerometer and sensor data to assess structural condition, fatigue risk, and dynamic behavior. It supports durability testing, structural health monitoring, and predictive maintenance programs β€” automating the pipeline from raw signal acquisition to engineering decisions.

How does vibration analysis support predictive maintenance?

By continuously monitoring vibration signatures β€” FFT spectra, PSD levels, and damage indicators β€” the software detects anomalies early, before visible failure. This enables condition-based maintenance that replaces scheduled downtime with data-driven intervention.

Can you support our specific DAQ hardware?

Yes. Hardware and protocol integration can be included in project scope where interfaces are available.

Can this be deployed on-premises?

Yes. We support on-premises, private network, and cloud deployments depending on your data security and infrastructure requirements.

See it in practice

Review case studies with quantified engineering and process impact across thermal, vibration, and digital twin projects.

Browse case studies