第6回
SSA 法による動的機器の診断
著者:
出町 和之,Kazuyuki DEMACHI,水口 明,Akira MIZUGUCHI
発刊日:
公開日:
キーワードタグ:
In this study, the prediction method for time-series data was developed and its validity was verified by the comparison of the measured time-series and the predicted one. The measured time-series data was obtained as the laser displacemen t meter's output observing the human's chest movement during breathing. The Singular Spectral Analysis method (SSA) was applied as the prediction analysis method. The comparison showed good agreement of the measured and the predicted ones....
英字タイトル:
Diagnosis of Dynamic Equipments by SSA Method