包絡線スペクトル、信号融合および LSM 主成分分析を用いた回転機械構造系異常の精密診断法
英字タイトル:
Precise Diagnosis Method of Structural Fault for Rotating Machinery Using Enveloped Wave Spectra, Signal Fusion and LSM Principal Component Analysis
著者:
陳山 鵬 Ho JINYSMA 滝 浩太朗 Kotaro TAKI 李 可 Ke Li 薛 紅涛 Hongtao XUE
発刊日:
公開日:
Condition DiagnosisLSM Principal Component AnalysisRotating MachineStructural Fault
Precise Diagnosis Method of Structural Fault for Rotating Machinery Using Enveloped Wave Spectra, Signal Fusion and LSM Principal Component Analysis
著者:
陳山 鵬 Ho JINYSMA 滝 浩太朗 Kotaro TAKI 李 可 Ke Li 薛 紅涛 Hongtao XUE
発刊日:
公開日:
カテゴリ: 第9回
キーワードタグ:Condition DiagnosisLSM Principal Component AnalysisRotating MachineStructural Fault
概要
Abstract : Structural faults are often occurring in a rotating machine, such as, u nbalance, misalignment and looseness etc., and their feature spectra of vibration signal appear in the low frequency area. The precise diagnosis for the structural faults type is difficult in the real plant, because of the noise in the vibratio n signal and the complex structure of the plant machine. In this study, we propose d the precise diagnosis method of structural fault for rotating machinery using en veloped wave spectra, signal fusion and LSM (Least-squares mapping principal compo nent analysis. The method proposed here has been verified by practical diagnosis.
