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A LINEAR REGRESSION MODEL FOR THE IDENTIFICATION OF UNBALANCE CHANGES IN ROTATING MACHINES

✍ Scribed by J.J. DING; A. AL-JUMAILY

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
211 KB
Volume
231
Category
Article
ISSN
0022-460X

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✦ Synopsis

This paper presents a numerical method for the full identi"cation of multi-plane unbalance changes in a multi-bearing rotating machine. This new method is a further development of the methods for one and two-plane identi"cation of unbalance changes. In modern rotating machinery, it is common practice to place permanent probes into the main supporting bearings as a means of &&health monitoring'' or &&condition monitoring''. These probes pick up the real-time vibration signals from a machine during its operation. By reprocessing these monitored signals and comparing them against developed criteria, the location and magnitude of any unbalance change during the machine's operation is identi"ed. This is achieved by using the algorithm that combines the processed signals with the use of a non-linear mathematical model for the rotating machine. Assumption is made that the steady state responses before and after the unbalance change takes are available for comparison, and that the mathematical model as well as the dynamic and static properties of the system under consideration are truly representative. Veri"cation of the proposed algorithm has been conducted using computer simulations of a real machine.

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