AEROSPACE ANALYTICS

An efficient approach to visualizing where and why structural anomalies occur across the flight envelope to reduce variation, instability, and risk.

LIVE WEBINAR

Session 1

From Aerospace Telemetry to Visual Insight: Identifying Structural Anomalies Without Guesswork

Date: Thursday, June 4
Time: 1:00 p.m. ET | 10:00 a.m. PT
Duration: 30 minutes
Registration: FREE
Level: No prior knowledge of advanced modeling required

Understanding structural behavior from telemetry data isn’t always straightforward, especially when using tools not built for multivariate analysis. Spreadsheets are great for tabular data entry but lack the structure, modeling, visualization, and auditability for standards such as APQP/AS9100/AS9145.

Whether it’s the tool or the approach, many engineers face challenges in identifying relationships that drive anomalies. From changes in operating conditions to interactions between variables to shifts in structural response, anomalies can remain hidden until they are exposed visually.

In this 30-minute session, we take the guesswork out of this process. Using an aerospace case study, we explore how different visualization and analysis approaches reveal patterns that are often missed. We then present a clear, structured workflow for investigating structural behavior in complex systems.

Learn how to:

Using a practical data set representing flight telemetry across multiple aircraft, we walk through how to compare behavior across a fleet using visual analysis. We also identify where anomalies occur within the operating envelope, demonstrate how to distinguish between normal variation and meaningful structural changes, and connect data patterns to physical interpretation.

Who should attend

Whether you are new to analyzing structural telemetry or refining an existing workflow, this session provides a clear way to move from raw data to understanding – helping you identify where the behavior changes and what to investigate next.

About the presenter
Kemal Oflus
Kemal Oflus,
Principal Systems Engineer

Kemal Oflus is a Principal Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software designed for scientists and engineers. He supports sales and customer development in the Southwest region of the U.S. as technical lead.

An applied physicist by training, Oflus previously worked as a rocket scientist using statistical methods to support risk assessment on the design and simulation of several projects for NASA and U.S. Air Force. He is a member of the American Society for Quality and the American Statistical Association. Oflus regularly delivers talks and keynotes on data mining and predictive modeling; he also teaches data science at the University of California Riverside as a part-time lecturer.

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