Scored Risk by Recording
Each recording is graded against measurable power quality behavior so teams can prioritize locations by operational risk, not guesswork.
From waveform to wisdom.
Power quality decisions
for production uptime
Power quality tools tell you what happened. PQRA tells you what it costs, what it risks, and what to fix first. Scored risk, priced impact, and action-ready findings derived from your real-world waveform recordings and validated against global electrical standards and actual industry events.
Industry's most complete power quality dataset
Including CPPQ audit methodology & MTTR model
551
Source workbooks indexed
100%
Topics triple-verified
260
Standards relationships mapped
What You Get
From signal to decision
From raw waveform evidence to executive-grade risk language, each PQRA run is structured for engineering action and management decisions.
Economic Impact Layer
Electrical findings are translated into downtime and restart cost ranges that finance, operations, and reliability teams can use immediately.
Evidence Traceability
Conclusions are linked to source measurements and report sections so reviews, audits, and remediation planning stay defensible.
Equipment Risk Assessment
Transformers, drives, and critical loads are individually assessed for remaining service life and failure probability under current conditions.
Action-Ready Reporting
Report outputs are structured for engineers, facility leaders, and external reviewers with clear next actions and navigable evidence.
Drop Files. Get Answers.
No dashboard to build. No thresholds to configure. Upload your recordings and PQRA returns a complete, scored report.
Get startedHow It Works
From raw recording to risk report
Upload recordings from any power quality instrument. PQRA scores risk, prices impact, and delivers an action-ready report. Automatically.
Step 1
Drop Your Files
Upload recordings from any power quality instrument. PQRA reads native formats directly: no file conversion, no middleware.
MF4
PQDIF
COMTRADE
CSV
TDMS
HDF5
Step 2
Engine Scores Everything
PQRA maps every recording against 551 indexed standards, then computes risk grades, financial exposure, and equipment impact.
Step 3
Review and Act
Open your interactive dashboard: scored risk, priced impact, equipment assessments, and evidence-backed recommendations ready for your team.
Who It Is For
Built for teams accountable for power quality outcomes
Electrical Engineering Teams
Use source-backed findings to diagnose conditions, document risk, and define remediation scope.
Reliability and Maintenance Leaders
Prioritize interventions using asset impact and downtime exposure instead of alarm volume.
Plant and Facility Management
Translate technical quality issues into operational and budget implications for planning cycles.
Energy and Compliance Functions
Maintain clear evidence chains and reporting quality for internal review and external requests.
The Difference
Not another chart screen.
A decision layer.
Most tools stop at event visibility. PQRA links events to risk posture, confidence quality, and financial consequence, so teams can choose what to fix first.
Instead of disconnected metrics, PQRA provides joined technical and economic context that survives executive review and engineering scrutiny.
The result is a repeatable workflow for faster, defensible action across operations, reliability, and management.
Under the Hood
What Powers the Analysis
Seven subsystems exchange data bidirectionally through the engine core. Every report you receive was produced by this architecture.
PQRA
Engine
Standards Layer
Parsed clauses & limits
Field Measurements
Observed site conditions
Cross-Reference Engine
Standard-to-event mapping
Source Attribution
Traceable evidence chain
Equipment Mapping
Impact by component type
API Interface
Integration endpoint
Mitigation Modeling
Scenario & control planning
Hub connection
Cross-data link
Bidirectional data flow
Standards Layer
Parsed clauses & limits from IEC, IEEE, NFPA, and NEC.
Field Measurements
Observed site conditions from MF4 waveform recordings.
Cross-Reference Engine
Maps standards clauses to measured events and violations.
Source Attribution
Traceable evidence chain linking every finding to its origin.
Equipment Mapping
Maps power quality impact to specific component types.
API Interface
Programmatic integration endpoint for external tools.
Mitigation Modeling
Scenario and control planning for remediation strategies.