Engine Vibration Monitoring and Diagnosis Based on On-Board Captured Data

Abstract

An advanced vibration monitoring system (VMS) consisting of on-board and on-ground tasks is presented in this paper. The on-board part of the VMS includes the detection of vibration incidents by monitoring of defined vibration amplitude values and comparison with prescribed absolute and relative vibration limits, where the relative vibration limits are specific for each particular engine. Exceedence of defined vibration alarm limits trigger a cockpit warning. The processing and acquisition of different vibration data sets using several algorithms are additional tasks of the on-board vibration monitoring function. The on-ground part of the VMS comprises the trend analysis of vibration signals as well as sophisticated methods based on artificial intelligence for the diagnosis of vibration events which includes data generated on wing, test-bed and the results of numerical simulations performed using extensive structural Finite Element whole engine models. In this paper the vibration data sets which are necessary to carry out the vibration monitoring function are described in detail. Finally experience gained during the application of the presented VMS to EJ200, the engine of the Eurofighter EF2000, are reported and discussed. K

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2003
Accession Number
ADP014124

Entities

People

  • Jorge M. Barragan

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Data Sets
  • Detection
  • Economic Forecasting
  • Frequency
  • Frequency Domain
  • Gas Turbines
  • High Pressure
  • Identification
  • Measurement
  • Pattern Recognition
  • Pneumatic Brakes
  • Steady State
  • Time Domain
  • Time Intervals

Fields of Study

  • Engineering

Readers

  • Aerospace Test and Evaluation
  • Fault Tolerant Diagnosis of Black and White Balloon Isolation Tests Using ¥.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference