ConditionCore applications

A machine-first review layer for critical industrial equipment.

ConditionCore can begin with one changing asset, then extend to a critical-machine cohort once naming, measurement points, operating context and evidence transfer are sound.

Representative applications. Scope, usable inputs and transfer routes are confirmed for each engagement.

Machine families

The asset decides which evidence matters.

A gearbox, process pump and conveyor drive can produce similar alarms for different reasons. The machine train and operating question determine how each discipline is used.

MachineCommon decision questionEvidence contributionContext required
Motor and driven trainIs the change electrical, rotor-related, thermal or transferred from the driven machine?Motor current tests electrical and torque signatures. Vibration and thermal patterns help locate mechanical or cooling change.Supply or VFD state, speed, slip, load, cooling condition and the driven-equipment state.
GearboxDoes the evidence fit a bearing, gear-mesh, lubrication or contamination mechanism?Vibration and ultrasonic measurements can co-locate at a housing point. Oil adds gearbox-level wear and lubricant context.Stage ratio, point map, shaft speed, load, lubricant, sample point and recent intervention.
Process pumpIs the response localized mechanical change or hydraulic excitation from the operating point?Local vibration, ultrasound and thermal patterns test the bearing region. Flow and pressure test the hydraulic alternative.Flow, suction pressure, valve state, duty point, fluid temperature and steady-state duration.
Compressor trainDoes the change follow the rotor train, lubrication system or process cycle?Vibration, ultrasound, thermal and oil evidence test different parts of the train. Motor current can add drive-load context.Speed, load or recycle state, pressure ratio, temperature, lubricant system and train configuration.
Conveyor or mill driveIs an impact tied to the component, structural transfer or a repeating process event?Near and far vibration or ultrasound test location. Thermal, oil and motor-current evidence test separate mechanisms.Speed reference, product or throughput, load, structural path, event timing and gearbox history.

The evidence set is selected by the machine and decision question. A method is never treated as a vote simply because it is available.

Plant contexts

Different plants. The same evidence discipline.

Operating context changes the interpretation. It does not lower the standard for traceability.

Steel and metals

Mill drives, pinion stands, fans, pumps and hydraulic units

Separate localized drive-train change from rolling load, structural transfer and process state.

Cement and minerals

Kilns, crushers, conveyors, separators and large process fans

Qualify impacts, contamination and load variation across slow and heavily loaded equipment.

Power generation

Boiler-feed pumps, cooling-water trains, fans and auxiliary drives

Distinguish bearing, alignment and hydraulic hypotheses from operating-point effects.

Chemicals and fertilizers

Process pumps, compressors, agitators and critical utility trains

Keep process mode, fluid conditions and maintenance intervention aligned with the machine record.

Mining and material handling

Crushers, screens, conveyors, gear drives and dewatering pumps

Separate component distress from shock, contamination and transferred structural energy.

Automotive and mobility

Line drives, machining spindles, compressors, pumps and paint-shop fans

Build comparable history across changing shifts, recipes, speeds and production loads.

A practical deployment path

Start with one machine. Scale when the record is sound.

A data feed is not treated as connected until its asset mapping, units, timing and provenance can be defended by the people who will act on it.

Focused machine review

One changing machine and one decision question.
Ready when
A named asset, a clear decision question and at least one usable evidence source.
Useful inputs
Available routes, waveforms, images, reports, operating data and work history.
Working rhythm
One review followed by a targeted field-verification plan.
Working output
A qualified hypothesis, visible evidence gap and next verification.

Critical-asset cohort

A repeatable review rhythm across the machines that carry production risk.
Ready when
Asset names, point maps, export cadence and comparable operating windows are agreed.
Useful inputs
Agreed exports, point maps, operating windows and intervention records.
Working rhythm
A recurring review queue ordered by production risk and evidence quality.
Working output
Comparable machine histories and a review queue grounded in evidence quality.

Plant reliability layer

A governed condition record across teams, disciplines and maintenance cycles.
Ready when
Naming, timestamps, provenance and review ownership are governed across teams.
Useful inputs
Validated asset naming, historian tags, routes, lab data and maintenance events.
Working rhythm
Verified interventions and matched follow-up readings return to the machine record.
Working output
Decision memory that survives handoffs and strengthens after each verified intervention.

ConditionCore does not turn unlike observations into an unexplained health score. Engineering review and field verification remain explicit.

Start where the risk is visible

Bring one changing machine and the evidence you already collect.

We will identify what is usable, what needs qualification and which next check can most improve the decision.

Request a machine review