Machinery Intelligence

X-Mach

Know the Engine before it Costs you.

X-MACH turns machinery test data and operating history into clear performance intelligence. Compare measured behaviour against expected values, track deviations over time, and identify what deserves attention before it becomes a costly operational problem.

Features

FROM RAW MACHINERY DATA TO A DECISION

X-MACH brings main-engine, auxiliary-engine and boiler information into a common analytical framework. The objective is not simply to display numbers, but to make deviations, trends and maintenance-relevant behaviour easier to understand.

Compare measured operating points with shop-trial, baseline and expected performance relationships.
Follow performance observations over time and identify changes that may otherwise be hidden in isolated readings
Compare individual cylinders against the mean and nominal values to highlight imbalance and abnormal spread.
Connect engine performance with auxiliary machinery, running hours, fuel consumption and boiler operation.

Load Diagram

Load diagram analysis places measured operating points against the engine load envelope, helping teams understand where the engine is operating relative to its expected operating curve.

T/C Speed vs Engine Speed

Trend analysis compares turbocharger speed with engine speed across successive performance observations, making changes and deviations easier to identify.

Monitor performance deviation detection
Review trends and performance alerts
Support faster operational decisions

Exhaust Temperature vs Load

Exhaust temperature is evaluated against engine load and historical observations, supporting identification of abnormal thermal behaviour and developing deviations.

Engine Load vs Parameters

A multi-parameter view brings turbocharger speed, engine RPM, Pcomp and Pscav relationships into one analytical picture.

Monitor machinery dashboards & reports
Review trends and performance alerts
Support faster operational decisions

Cylinder Comparison

Cylinder-level comparison shows deviation from the mean together with measured and nominal values, helping reveal cylinder imbalance and individual-cylinder behaviour.