Services
Diagnostics and analytics that lead to a useful maintenance decision.
Choose a focused field service, condition analytics with AI and Machine Learning, or a coordinated reliability program built around your assets and risk.
Predictive maintenance
Field diagnostic services.
Service scope and methods are selected around equipment type, operating state, failure risk, access, and the decision your team needs to make.
Vibration analysis
Screen, trend, and diagnose rotating-equipment behavior associated with imbalance, misalignment, looseness, bearings, and gears.
View service →Ultrasound inspection
Detect compressed-air leaks, steam-trap issues, friction, electrical discharge, and other high-frequency indicators.
View service →Infrared thermography
Identify abnormal thermal patterns in electrical, mechanical, and process equipment under operating load.
View service →Partial-discharge assessment
Evaluate signs of insulation distress in medium-voltage equipment and support risk-based follow-up.
View service →Motor diagnostics
Combine online and offline electrical tests with mechanical condition information for a broader motor assessment.
View service →Oil analysis
Use transformer or lubricant samples to assess fluid condition, contamination, wear debris, and equipment health indicators.
View service →Laser alignment
Measure and correct shaft alignment to reduce force, vibration, coupling wear, and avoidable energy loss.
View service →Field balancing
Support correction of rotating imbalance where operating conditions and equipment access allow.
View service →Condition analytics with AI and Machine Learning
Screen large condition datasets, identify unusual behavior, check data quality, and present traceable evidence for analyst review.
View service →
Evidence in context
Measure the right indicator at the right operating condition.
Reliability improvement
Strengthen the system behind the inspection.
Reliable equipment performance depends on more than diagnostic testing. STAH can help connect field findings to the maintenance system, priorities, and work practices.
Explore reliability improvement →Deliverable approach
Findings your team can work from.
A typical engagement can include scope confirmation, field observations, supporting measurements, screening supported by AI and Machine Learning where appropriate, engineering interpretation, priority, and recommended next actions. The exact deliverable and review responsibility are agreed before work begins.
Start a conversation
Tell us the symptom, asset, or reliability gap.
Share the asset, operating concern, data opportunity, or reliability goal. STAH can help shape a focused, human-reviewed next step.