本論文旨在利用小波轉換及Morlet小波，對應用於往復式壓縮機之磁浮軸承/推桿進行磁剛性與磁阻尼的鑑別。透過小波時頻分析，擷取出代表自然頻率的骨根圖，根據骨根隨自然頻率變動的樣式，以小波的線性與非線性鑑別法則，先進行數值模擬來驗證所開發電腦程式的正確性，再透過實際的磁浮軸承/推桿系統，證實與量化非線性磁阻尼、非線性磁阻尼之負阻尼及高階磁剛性，並求得系統磁阻尼與機械阻尼的比重。本文採dSPACE 1104套裝介面、四極主動式磁浮軸承、光學測距器與Matlab程式語言作為實驗工具及設備。

The purpose of this thesis is to apply the Wavelet Transform algorithm to identify magnetic damping and magnetic stiffness coefficients of the linear compressor system in which a 4-pole active magnetic bearing (AMB) is embedded. By using time-frequency analysis of wavelet, the ridge of the processed signal shown in Wavelet form can be extracted to find the natural frequency of the system. The results of experimental simulations verify that the Wavelet identification method is able to quantify the nonlinear magnetic damping coefficients, the fundamental and higher-order stiffness of the rod dynamic in the magnetic levitation system. The test rig is equipped with dSPACE 1104 interface board, a 4-pole active magnetic bearing, a laser diode sensor and the software environment by MATLAB.

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