Flight Test Engineering · Data Analysis

Limit Floating Dashboard

Professional project · non-confidential overview

Interactive visualisation of dynamic flight-test parameter limits and exceedances.

The problem

A workflow worth designing for

Limit verification can require engineers to compare measured signals with fixed values, separate reference data, spreadsheets, or engineering documentation. The review becomes harder when the applicable limit depends on another measured parameter, aircraft state, operating condition, configuration, or engineering rule.

Design constraints

  • Keep the measured signal and its applicable limits understandable in the same view.
  • Support limits that change with the selected engineering rule or reference parameter.
  • Make exceedances, near-limit periods, and transient events easy to inspect.
  • Keep the tool focused on practical engineering review rather than adding unnecessary complexity.

Key features

Dynamic limit calculation

Upper and lower limits can evolve according to a selected engineering rule or reference parameter.

Interactive time-series analysis

Engineers can inspect and navigate through the flight-test timeline around relevant events.

Exceedance identification

The combined view makes periods outside the applicable envelope easier to spot.

Parameter selection

The analysis can be configured around the signal and engineering context under review.

Engineering-focused visualisation

Measured data, applicable limits and important events share one analytical view.

Faster review workflow

The dashboard reduces repetitive plotting and spreadsheet-based comparisons.

Solution architecture

Designed around dependable handoffs

The Python dashboard brings flight-test time-series data and the applicable upper and lower limits into one interactive visualisation. It calculates or retrieves the limits for the selected analysis, overlays them on the measured signal, and helps the engineer inspect relevant periods and exceedances directly.

Visual space

Screenshots can be added here when a non-confidential application capture is available; no mock flight-test data is presented.

Workflow

01

Load

Flight-test time-series data is loaded or received for the analysis.

02

Select

The engineer chooses the parameter and analysis configuration to review.

03

Determine

Applicable upper and lower floating limits are calculated or retrieved.

04

Compare

The signal and limits are plotted together for direct visual comparison.

05

Review

Exceedances and relevant events are inspected to support the engineering review.

Technologies used

PythonInteractive dashboardTime-series processingEngineering visualisation

Results / impact

Clearerview of changing engineering limits
Fasteridentification of exceedances and transients
Consistentreview across representative datasets

My contribution

Screenshots

Screenshot space
Dynamic limits displayed alongside the measured flight-test signal.
Screenshot space
Interactive inspection of a parameter approaching or exceeding its applicable limit.
Screenshot space
Dashboard controls used to configure the engineering analysis.

Lessons learned

A focused internal tool can remove substantial friction from a repetitive analysis task.

Showing the measured signal and its applicable limit together is more useful than presenting either in isolation.

Engineering dashboards are most valuable when their controls reflect how engineers investigate data.

Built to evolve

More evidence can be added without changing the story.

This page has dedicated space for future diagrams, screenshots, campaign photos, videos, and deeper technical notes.