The Operations module must be enabled for your workspace. You also need the appropriate operations
permissions. Contact your workspace administrator if you cannot access these features.
Predictive maintenance features require the Ops module and the DOM (Director of
Maintenance) or Maintenance role. Pilots with read-only access can view alerts for their
assigned aircraft but cannot acknowledge or configure thresholds. Contact your workspace
administrator if you cannot access Ops > Predictive Maintenance.
By the end of this guide, you will have viewed the predictive maintenance
dashboard, reviewed AI-generated alerts for aircraft components, acknowledged
or dismissed alerts, explored trend analysis for engine parameters, set up
custom thresholds, and exported trend data for external analysis.
For reference information on alert severity levels, monitored parameters, and
threshold configuration options, see Predictive Maintenance
Reference.
View the predictive maintenance dashboard
Step 1: Open Predictive Maintenance
Navigate to Ops > Predictive Maintenance. The dashboard opens with a fleet
summary showing each aircraft in your fleet and its current alert status.
The fleet summary tiles show:
| Field | Description |
|---|
| Tail number | Aircraft registration identifier. |
| Alert count | Number of active alerts grouped by severity. |
| Trend status | Whether any monitored parameter is showing a degrading trend. |
| Last data point | Timestamp of the most recent parameter reading imported for this aircraft. |
Step 2: Filter the fleet view
Use the filter bar to narrow the view:
By alert severity: show only aircraft with Warning or Critical alerts.
By parameter: show only aircraft with alerts on a specific parameter
(e.g., EGT, oil pressure).
By aircraft type: useful for multi-type fleets.
Review AI-generated alerts for aircraft components
Step 1: Open an aircraft’s alert list
Click an aircraft tile to open its detail view. The Alerts tab lists all
active alerts for this aircraft, sorted by severity (Critical first).
| Field | Description |
|---|
| Parameter | Which engine or airframe parameter triggered the alert. |
| Engine/position | Left engine, right engine, APU, or airframe location. |
| Severity | Info, Watch, Caution, Warning, or Critical. |
| Detected | When the system first identified the anomaly. |
| Trend | Direction and rate of parameter change (rising, stable, falling). |
| Recommended action | AI-generated suggested action (inspect, borescope, schedule check). |
Step 2: Review the alert detail
Click an alert to open its detail view. The detail view includes:
Parameter chart: a time-series chart of the parameter over the alert
detection period, with the alert threshold overlaid.
AI analysis summary: a plain-language explanation of why the alert was
generated, what pattern the model detected, and what the recommended next
step is.
Historical context: how this reading compares to the aircraft’s own
baseline and to fleet averages for the same aircraft type.
Related alerts: other parameters that are trending in related directions
(useful for diagnosing compound issues).
AI-generated alerts are advisory. They must be evaluated by a qualified aviation maintenance
technician (AMT) before any maintenance action is taken. PlaneConnection does not make
airworthiness determinations.
Acknowledge or dismiss alerts
Step 1: Open the alert detail
Navigate to the alert you want to act on as described above.
Three actions are available on each alert:
| Action | When to use |
|---|
| Acknowledge | You have reviewed the alert and are taking action. Links to a work order or note. |
| Dismiss | The alert is not actionable (e.g., a known sensor anomaly, data entry error). |
| Escalate | The alert requires immediate attention beyond the current maintenance schedule. |
Step 3: Acknowledge an alert
Click Acknowledge. You will be prompted to:
Enter a note describing the review or action taken.
Optionally link the acknowledgment to an existing work order, or create a new
work order directly from the alert.
Set a follow-up date if further monitoring is required.
Click Save Acknowledgment. The alert moves from the Active list to the
Acknowledged list and is visible in the audit trail.
Click Dismiss. Enter a reason for the dismissal (required). The alert is
removed from the active view but remains in the alert history for future
reference.
Dismissed alerts will re-trigger if the parameter continues to exceed the threshold. Dismissal
applies only to the current alert instance, not to the threshold rule itself.
View trend analysis for engine parameters
Step 1: Open the Trends tab
From an aircraft’s detail view, click the Trends tab. The trends view shows
time-series charts for all monitored parameters.
Step 2: Select a parameter and time range
Use the parameter selector to choose a specific parameter (e.g., EGT, N1, oil
pressure). Use the time range picker to select the analysis period:
Last 30 flights: useful for detecting short-term degradation.
Last 90 days: standard trend analysis window.
Custom range: for specific event investigations.
Step 3: Interpret the trend chart
Each trend chart includes:
Data points: individual readings from each flight.
Trend line: a smoothed regression line showing the overall direction.
Baseline band: the expected range for this aircraft and parameter based
on its history.
Alert thresholds: horizontal lines showing Watch, Caution, Warning, and
Critical threshold levels.
Annotations: maintenance actions, threshold changes, and alert events
overlaid on the timeline.
Use the Compare option to overlay trend lines for left and right engines side by side. A
diverging gap between engines is often an early indicator of an asymmetric condition worth
investigating.
Step 4: View statistical summary
Below each trend chart, a statistical summary shows the mean, standard
deviation, minimum, and maximum values for the selected period, alongside the
trend slope (units per flight hour) and an AI-generated assessment of whether
the trend is within normal bounds.
Set up custom thresholds
Step 1: Open threshold configuration
From the aircraft’s detail view, click Configure Thresholds. The threshold
configuration screen lists all monitored parameters for this aircraft with their
current threshold values.
Click a parameter row to expand its threshold settings.
Step 3: Set threshold values
For each threshold level (Watch, Caution, Warning, Critical), enter the value at
which the system should generate an alert. Values must follow the correct order
(Watch ≤ Caution ≤ Warning ≤ Critical for rising parameters, reversed for
falling parameters).
| Setting | Description |
|---|
| Alert direction | Rising, falling, or either direction from baseline. |
| Consecutive exceedances | Number of readings above threshold before alerting (reduces noise). |
| Baseline source | Aircraft-specific baseline, fleet average, or manufacturer limits. |
| Notification channels | Which alert severity levels trigger SMS or email notifications. |
Step 4: Save the configuration
Click Save Thresholds. Changes apply to future data points immediately.
Historical alerts are not retroactively affected by threshold changes.
Setting thresholds significantly above manufacturer limits may cause the system to miss genuine
alerts. Always verify custom thresholds against the aircraft’s approved flight manual (AFM) and
applicable maintenance manuals before saving.
Export trend data
Step 1: Open the Trends tab and select your parameters
Navigate to the aircraft’s Trends tab and select the parameters and time
range you want to export.
Click Export Trend Data. Choose your export format:
| Format | Contents | Use case |
|---|
| CSV | Raw parameter readings with timestamps and flight IDs. | External analysis, maintenance software import. |
| PDF | Formatted trend charts with statistical summaries. | Management review, regulatory submissions. |
Step 3: Download the export
Click Download. The export file is generated and downloaded to your device.
Predictive Maintenance Reference
Alert severity levels, monitored parameters, trend methodology, and threshold options.
Use Fleet Health
Fleet-wide health overview that surfaces predictive maintenance alerts alongside due items.
Manage Work Orders
Create and track maintenance work orders linked to predictive alerts.
Track Due Items
Schedule-based maintenance tracking alongside condition-based predictive alerts.