Engine trends, read alongside the maintenance history behind them.
Engine condition data usually sits in an OEM portal or a separate monitoring tool, while removals, shop visits and findings sit in the M&E system. When a parameter starts to drift, engineers connect the two by hand.
Engine Health Monitor brings them into one view, so a trend can be read against what was done to the engine.
For powerplant and reliability engineering
The trend is visible. The context is somewhere else.
When an engine parameter starts to drift, the first questions are about history: what was replaced, when was the last shop visit, has the sister engine done the same. Those answers live in a different system from the trend.
One view, where a drift can be read against removals, shop visits and findings for that engine.
Two systems, compared by hand, usually after the trend has already been noticed.
Context is assembled by hand. History is pulled from the M&E system each time a trend needs explaining.
Signals wait for the review. Drifts are seen when someone looks, not when they start.
Fleet comparison takes effort. Comparing one engine with its sister engines is a separate exercise.
It surfaces later: as an unscheduled removal the trend was already pointing to.
One view of engine condition and engine history.
The app brings engine condition data together with the engine's maintenance records, so trends, removals, shop visits and findings can be read side by side, per engine and across the fleet.
Engine Health MonitorOne engine, every viewCondition trends
Parameter trends per engine, over time, against agreed limits.
Removals and shop visits
The engine's history from your M&E system, on one timeline.
Fleet comparison
Each engine against its sister engines.
Alerts
Drifts flagged against agreed limits, for engineering attention.
Drift above the agreed limit
Trend rising since the last shop visit
Within limits
Life-limited parts
Remaining life alongside condition.
Part A
Part B
Part C
Findings
What was found and done, per engine.
Finding recorded at inspection
Action taken and signed off
Follow-up inspection planned
Five stages, from data to decision.
Select a stage to see what appears on screen and what your team does at each step.
01 · Collect
Engine condition data and maintenance records are brought in from their sources.
The engines in scope and the data received for each.
Agree the engines, parameters and sources to include.
02 · Align
Condition data is matched to the right engine, position and maintenance history.
Each engine with its installed position, history and condition data together.
Review any engines the app could not match cleanly.
03 · Monitor
Trends are tracked per engine and compared across the fleet.
Parameter trends per engine, with sister engines alongside.
Follow the engines and parameters that matter to your programme.
04 · Flag
Drifts against agreed limits are flagged for engineering attention.
A list of engines with flags, and the trend behind each one.
Set the limits and decide which flags need action.
05 · Review
Engineers read the trend against the engine's history and decide what happens next.
The trend, removals, shop visits and findings in one view.
Decide on inspection, monitoring or removal planning.
Decisions on inspections, removals and shop visits stay with your powerplant engineers.
Earlier sight of engine risk. Context already in place.
The app brings the information together and flags what is drifting. The engineering judgement stays with your team.
Earlier sight of engine risk
Drifts are flagged when they start, not when they are noticed.
Context in one place
Trends read against removals, shop visits and findings.
Fleet-wide comparison
Each engine seen against its sister engines.
Fewer surprise removals
More time to plan an engine change before it becomes unscheduled.
Engine monitoring is most useful when the trend and the history arrive together.
Earlier sight of engine risk supports early risk detection.
How EXSYN apps build on each other, from trusted data to earlier risk detection.
Where it helps most: earlier intervention and fewer disruptions. Engine Health Monitor builds on validated maintenance and utilisation data, so engine trends can be acted on before they become disruption.
Explore our approach →Built on the same data foundation as EXSYN's reliability apps.
Engine Health Monitor runs on the same validated maintenance and utilisation data that EXSYN's reliability apps use, across airlines and operators of many fleet types.
40+
Airlines and operators
29
Aircraft types
26
Countries
16
MRO/M&E systems
See it on your own engine fleet.
We walk through the engine view, the trends, the flags and the history behind them. Bring a recent engine event, and we will discuss how it would have looked in the app.
Which engine types, and how many installed engines?
Where engine condition data comes from today.
Which decisions it should support: removals, shop visit planning, ETOPS?
Questions we often hear.
No. It works alongside it, bringing the condition data together with the maintenance history in your M&E system.
We confirm the engine types and data sources for your fleet during the demonstration.
From the sources you already use, combined with removals, shop visits and findings from your M&E system.
Your powerplant engineers. The app flags the drift and shows the context. Inspection, monitoring and removal decisions stay with your team.