Fault Mode Analysis Based on Compositional Modeling FREE

[+] Author Affiliations
Howard Winston, Sharayu Tulpule

United Technologies Research Center, East Hartford, CT

Paper No. 97-GT-034, pp. V004T15A010; 8 pages
  • ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition
  • Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; IGTI Scholar Award
  • Orlando, Florida, USA, June 2–5, 1997
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7871-2
  • Copyright © 1997 by ASME


Fault modes are difficult to model because they are often caused by or result in highly-nonlinear or discontinuous changes in an engineered system. These changes will typically invalidate some of the assumptions and simplifications that justify the simulation’s equation model. Thus, a framework for failure simulation should support the dynamic modification of equation models as required by changes in simulated physical conditions.

To address this problem, a framework for simulating failure modes in gas turbine engines has been implemented based on prior work on compositional modeling. We believe this design methodology and simulation architecture can enable scaleable and robust simulations of the precursors, manifestations, and consequences of failure modes in complex engineered devices.

An object-oriented modeling language was implemented to represent devices in terms of primitive and recursively defined compound components. Primitive components can encapsulate equations that always apply to their descriptions. The modeling language also includes objects that represent physical processes (i.e., composeable model fragments) that encapsulate equations that apply when the fragments’ applicability and activation conditions are satisfied. Model fragments may also contain terms that can contribute to the value of component parameters when those fragments are activated.

To interleave model building and simulation, equation models are implemented as constraint networks. This precludes the need to determine explicit solution orders for sets of equations and facilitates the incremental modification of equation models. As a failure scenario unfolds, the simulation can be interrupted, a new set of model fragments can be composed into the constraint network, and the simulation continued. This failure simulation framework is illustrated with a simple multi-stage gas turbine failure scenario.

Copyright © 1997 by ASME
Topics: Modeling
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