Accession Number:

ADA347307

Title:

Model-Based Diagnostics of Gas Turbine Engine Lubrication Systems

Descriptive Note:

Corporate Author:

PENNSYLVANIA STATE UNIV STATE COLLEGE APPLIED RESEARCH LAB

Personal Author(s):

Report Date:

1998-01-01

Pagination or Media Count:

10.0

Abstract:

The objective of the current research was to develop improved methodology for diagnosing anomalies and maintaining oil lubrication systems for gas turbine engines. The effort focused on the development of reasoning modules that utilize the existing, inexpensive sensors and are applicable to on-line monitoring within the full-authority digital engine controller FADEC of the engine. The target application is the Enhanced TF-40B gas turbine engine that powers the Landing Craft Air Cushion LCAC platform. To accomplish the development of the requisite data fusion algorithms and automated reasoning for the diagnostic modules, Penn State ARL produced a generic Turbine Engine Lubrication System Simulator TELSS and Data Fusion Workbench DFW. TELSS is a portable simulator code that calculates lubrication system parameters based upon one-dimensional fluid flow resistance network equations. Validation of the TF-40B modules was performed using engineering and limited test data. The simulation model was used to analyze operational data from the LCAC fleet. The TELSS, as an integral portion of the DFW, provides the capability to experiment with combinations of variables and feature vectors that characterize normal and abnormal operation of the engine lubrication system. The model-based diagnostics approach is applicable to all gas turbine engines and mechanical transmissions with similar pressure-fed lubrication systems.

Subject Categories:

  • Lubricants and Hydraulic Fluids
  • Jet and Gas Turbine Engines

Distribution Statement:

APPROVED FOR PUBLIC RELEASE