Mechanical Behavior of an Industrial Gas Turbine underFault Conditions, a Case History

Florjancic, S.; Lively, Noel; Thomas, Richard

doi:10.1155/s1023621x99000196

Cited by 3 publications

(3 citation statements)

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“…The original design-phase rotordynamic model included support modeling by an FE structure. A summary of the measured unbalance excited structural resonances and critical speeds compared to original analytical results was established, detailed descriptions are given in [1].…”

Section: Resultsmentioning

confidence: 99%

“…Initial hot commissioning began with liquid fuel only on the first two units in April '94 since construction of the natural gas pipeline was not complete. The solution to some operational difficulties prior to commercial operation is described in [1].…”

Section: Figure 1: Gt11n2mentioning

confidence: 99%

“…Operation of this machine was then suspended for a period of time for other reasons, during which some rectification to oil pocket geometry, set points for jacking oil flow, and minor bearing liner to housing clearance on both, the turbine and compressor bearings [1] were made. The subsynchronous vibration has not been observed since operations have resumed on this machine.…”

Section: Figure 1: Gt11n2mentioning

confidence: 99%

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Vibration Measurement Techniques on an Industrial Gas Turbine Rotor Train

Florjancic

Franklin

Lively³

1998

Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation;

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The rotordynamic behavior of an industrial gas turbine rotor train was assessed on site, and the sensitivity to unbalance was quantified. An outline of the measurement procedure is given. Differential data reduction with test unbalances was undertaken to minimize the influence of measurement uncertainty. A test unbalance was installed for one run and then shifted by 180° for the consecutive run. With differential data, the effective dynamic properties of the rotor - support - system can be estimated more accurately. A rotordynamic model was used to identify the support system parameters based on measured data. For the analysis, the anisotropic, elliptical vibration orbits were decomposed into two counter-rotating circular orbits, and the support system parameters identified match the originally predicted values well. The methods of differential data reduction, rotor train mode shape presentation, elliptical orbit decomposition, and the link of measurement to analytical models with parameter definition are described. Examples from on-site measurements are included for illustration.

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Section: Resultsmentioning

confidence: 99%

Section: Figure 1: Gt11n2mentioning

confidence: 99%

Section: Figure 1: Gt11n2mentioning

confidence: 99%

See 1 more Smart Citation

Vibration Measurement Techniques on an Industrial Gas Turbine Rotor Train

Florjancic

Franklin

Lively³

1998

Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation;

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System-Type Neural Network Architectures for Power Systems

Lee

2006

The 2006 IEEE International Joint Conference on Neural Network Proceedings

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Neural networks have been applied in various new ways to the manifold problems in power systems. The great majority of neural network designs attempt to model a dynamic mapping with one neural network. Recently, attempts have been made at using system-type neural networks for distributed parameter systems, where the system dynamics is distributed over a spatial-temporal domain. In this paper, system-type neural networks is illustrated, which are designed using semigroup theory. The objective will be either to achieve extrapolation of functional patterns along one axis, or to achieve a forecasting of functional patterns in multiple axes.

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