Order Analysis for Rotating Mechanical Systems
碩士 === 國立交通大學 === 機械工程系 === 89 === The aim of this research is to develop an order tracking method for monitoring and diagnosis of any multi-rotating axle machinery. Conventional methods of order tracking are primarily based on Fourier analysis with reference to shaft speed. Resampling process is...
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| Format: | Others |
| Language: | en_US |
| Published: |
2001
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| Online Access: | http://ndltd.ncl.edu.tw/handle/90417713202063155861 |
| Summary: | 碩士 === 國立交通大學 === 機械工程系 === 89 === The aim of this research is to develop an order tracking method for monitoring and diagnosis of any multi-rotating axle machinery. Conventional methods of order tracking are primarily based on Fourier analysis with reference to shaft speed. Resampling process is generally required in the fast Fourier transform (FFT)-based methods to compromise between time and frequency resolution for various shaft speeds. Conventional methods suffer from a number of shortcomings. In particular, smearing problem arises when closely spaced orders or crossing orders are present. Conventional methods also are ineffective for the applications involving multiple independent shaft speeds. This paper presents two adaptive order tracking techniques based on Recursive Least-Squares (RLS) filtering and Kalman filtering to overcome the problems encountered in conventional methods. The work includes two major parts. The first part is the theoretical background of conventional methods and the proposed methods. In the second part, we verify the proposed methods and discuss the results by using computational numerical simulations.
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