Predictive Maintenance Using the Rotordynamic Model of a Hydraulic Turbine-Generator Rotor

Author:

Bettig Bernhard P.1,Han Ray P. S.2

Affiliation:

1. Department ot Mechanical & Aerospace Engineering, Arizona State University, Tempe AZ 85287-6106

2. Department of Mechanical Engineering, The University of Iowa, Iowa City IA 52242-1527

Abstract

A use of rotordynamic models in predictive maintenance is described in which variables characterizing the state of a deterioration mechanism are determined from online measurements. These variables are trended to determine the rate of deterioration and to perform a simulation to predict either the machine life or the maintenance period. Some useful terms for using models in predictive maintenance are defined and the prediction procedure is described. The procedure is demonstrated with a simple two degree-of-freedom example and the numerical model of an actual hydraulic turbine-generator rotor. Some benefits and problems associated with the implementation of the procedure are then discussed. It is considered that this procedure brings the possibility of a better understanding of deterioration processes and a resulting better life prediction.

Publisher

ASME International

Subject

General Engineering

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1. A Study on the Development of Asset Health Index Weighting Factor Selection Technology for Efficient Condition Monitoring of Large Rotating Machines;Transactions of the Korean Society for Noise and Vibration Engineering;2022-10-20

2. Effect of unbalancing mass placement in hydropower generators with floating rotor rim;IOP Conference Series: Earth and Environmental Science;2022-09-01

3. The effect of inertia and angular momentum of a fluid annulus on lateral transversal rotor vibrations;Journal of Fluids and Structures;2012-01

4. Multi-body simulation approach for fault diagnosis of a reel;Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics;2006-03-01

5. Multibody Approach for Model-Based Fault Detection of a Reel;Journal of Computational and Nonlinear Dynamics;2005-10-21

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