A method for aligning the shafts of a turbo-generator set is introduced. A technical scheme for automatically measuring the shafts parameters is designed . A model for the alignment of shafts and its optimal algorithm are presented. An automatic measurement system which is composed of excellent hardwares and intelligent softwares suitable for its application in the maintenance spot is developed. The system has been successfully in the power plant. Comparing with a traditional maintenance technology, the new system has a higher accuracy and an adjustable optimal scheme, can effectively guarantee the alignment precision, and raise the measurement efficiency. This paper describes the general algorithms of the combination of GA(Genetic Algorithm) with SUMT(Sequence Unconstrained Minimization Technology). The study shows it is best fit for solving complex nonlinear constraint optimum problems. Compared with the traditional optimum methods, this methods can obtain at ideal global optimum result. In addition, this method also improves GA's limit.
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