Engineering Service
Build a structural health monitoring platform that processes live sensor data to detect damage, track fatigue accumulation, and provide early predictive maintenance warnings — grounded in validated signal processing, fracture mechanics, and SigProc workflows. From sensor acquisition to condition assessment dashboards.
Real implementations in this service area
An automated fatigue life tracking system built on SigProc — ingesting multi-channel vibration data, computing cumulative damage using rainflow counting and Miner's rule, and outputting remaining life estimates per measurement point.
A real-time monitoring interface for shaker test rigs — tracking PSD levels against control tolerances, logging deviations, and flagging test interruptions for review.
An end-to-end pipeline for a durability lab — from raw DAQ file ingestion through signal conditioning, fatigue damage scoring, and structured PDF report generation.
Realistic use cases we could build in this domain
A continuous SHM platform for a bridge structure — processing accelerometer data from distributed sensor arrays, tracking modal frequencies over time, and alerting on stiffness changes indicative of damage.
An SHM system for overhead cranes — monitoring load cycles, structural stress, and vibration signatures to support condition-based maintenance and fatigue life management.
A structural health monitoring platform for turbine blades — detecting changes in modal response, ice accumulation, or damage-induced stiffness loss through distributed vibration sensing.
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Common questions about this service area and how we approach it.
Structural health monitoring is the continuous or periodic assessment of a structure's condition using sensor data, signal processing, and physics-based damage models. It detects changes in structural behavior — stiffness loss, fatigue accumulation, resonance shifts — that indicate degradation before failure occurs, enabling predictive maintenance programs.
By continuously computing damage indicators from live vibration and strain data, SHM software triggers maintenance alerts when condition thresholds are exceeded — not on a fixed schedule. This reduces unnecessary downtime while catching critical degradation early.
SigProc provides vibration signal processing workflows — FFT, PSD, filtering, and fatigue metrics — that power structural health monitoring systems. It automates the analysis pipeline from raw sensor data to condition indicators used in maintenance decisions.
Yes. Hardware integration is scoped per project. We support standard DAQ protocols and design data pipelines around your specific instrumentation setup.
Review case studies with quantified engineering and process impact across thermal, vibration, and digital twin projects.