Balancing Energy Processes in Turbine Engines

Prognosis of Faults in Gas Turbine Engines

A problem of interest to aircraft engine maintainers is the automatic detection, classification, and prediction (or prognosis) of potential critical component failures in gas turbine engines. Automatic monitoring offers the promise of substantially reducing the cost of repair and replacement of defective parts, and may even result in saving lives. Current processing for prognostic health monito...

Anomaly Detection in Aircraft Gas Turbine Engines

Heuristics for Balancing Turbine Fans

We develop heuristics for a problem that models the static balancing of turbine fans: Load point masses at regularly spaced positions on the periphery of a circle so that the residual unbalance about the center | which corresponds to the axis of rotation of the fan | is as small as possible. We prove that our heuristics provide the same worst-case guarantee in terms of residual unbalance as doe...

Millimeter-scale, Mems Gas Turbine Engines

The confluence of market demand for greatly improved compact power sources for portable electronics with the rapidly expanding capability of micromachining technology has made feasible the development of gas turbines in the millimeter-size range. With airfoil spans measured in 100’s of microns rather than meters, these “microengines” have about 1 millionth the air flow of large gas turbines and...

Symbolic identification for fault detection in aircraft gas turbine engines

This article presents a robust and computationally inexpensive technique of component-level fault detection in aircraft gas-turbine engines. The underlying algorithm is based on a recently developed statistical pattern recognition tool, symbolic dynamic filtering (SDF), that is built upon symbolization of sensor time series data. Fault detection involves abstraction of a language-theoretic desc...