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Engineer performing vibration and precision-maintenance checks on a motor-driven machine

Solutions · MCAS · Rotating equipment condition

Machine Condition Assessment Solutions

MCAS combines vibration, ultrasound, thermal, lubrication, and operating evidence to evaluate rotating machinery health.

STAHMCASROTATING ASSETS

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Assessment scope

The condition picture this solution brings together.

Bearing and gear condition
Imbalance, misalignment, looseness, and resonance
Lubrication and friction indicators
Machine, foundation, and process interaction

How the assessment works

The assessment route from system boundary to action.

System view

One system. Several signals. One coordinated decision.

A solution combines several observations into one condition decision. It starts with the asset and credible failure modes, then selects complementary methods so one ambiguous indicator is not allowed to drive the conclusion.

For machine condition assessment solutions, that means beginning with bearing and gear condition, working in the context of pumps and fans, and preserving enough evidence to support machine condition summary.

Engineering boundary

A condition assessment supports maintenance decisions; it does not replace protective systems, code compliance, original-equipment-manufacturer limits, or an engineering study required by the site.

Condition record

What should support the system-level conclusion.

The asset, audience, or system boundary and the decision being supported
The relevant operating state, access conditions, source records, and known limitations
The observations or results related to imbalance, misalignment, looseness, and resonance
The comparison, technical reasoning, confidence, priority, and alternative explanations
The owner, timing, verification method, and trigger for escalation or follow-up

Challenge the diagnosis

What reviewers should test before action.

Was the evidence collected under a representative and documented condition?
Does another indicator support—or conflict with—the first conclusion?
Could access, setup, data quality, environment, or operating state explain the result?
Is the proposed action proportionate to condition, consequence, and uncertainty?
What new evidence would confirm that the action worked?

Evidence architecture

How the signals are assembled into a defensible conclusion.

The value comes from the relationship between evidence—not the number of technologies used.

01
Confirm speed, load, operating state, and machine configuration
Primary focus: Bearing and gear condition. Expected record: Machine condition summary. Typical setting: Pumps and fans.
02
Collect repeatable multi-point condition measurements
Primary focus: Imbalance, misalignment, looseness, and resonance. Expected record: Diagnostic plots and observations. Typical setting: Compressors and blowers.
03
Compare patterns, trends, and complementary technologies
Primary focus: Lubrication and friction indicators. Expected record: Probable fault mechanism. Typical setting: Gearboxes and bearings.
04
Identify likely failure modes and maintenance priority
Primary focus: Machine, foundation, and process interaction. Expected record: Recommended action and follow-up interval. Typical setting: Turbines and driven trains.

DELIVERABLES

Typical outputs

Machine condition summary
Diagnostic plots and observations
Probable fault mechanism
Recommended action and follow-up interval

APPLICATIONS

Typical assets

Pumps and fans
Compressors and blowers
Gearboxes and bearings
Turbines and driven trains

SYSTEM INSIGHT

A machine signature is meaningful only when speed, load, process condition, and measurement location are understood.

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Talk with STAH about machine condition assessment solutions.

Share the asset, operating concern, data opportunity, or reliability goal. STAH can help shape a focused, human-reviewed next step.

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Machine Condition Assessment Solutions

The condition picture this solution brings together.

The assessment route from system boundary to action.

One system. Several signals. One coordinated decision.

What should support the system-level conclusion.

What reviewers should test before action.

How the signals are assembled into a defensible conclusion.

Confirm speed, load, operating state, and machine configuration

Collect repeatable multi-point condition measurements

Compare patterns, trends, and complementary technologies

Identify likely failure modes and maintenance priority

Typical outputs

Typical assets

Connected condition solutions.

Power Condition Assessment Solutions

Stationary Condition Assessment Solutions

Comprehensive Motor Assessment

Talk with STAH about machine condition assessment solutions.