103 近接2点信号間の相互相関性と並列型ARXモデルの性質に着目したレシプロエンジンの異常信号成分抽出法(セッション1 センサ・モデルベース(1))

DOI Web Site

書誌事項

タイトル別名
  • 103 Extraction Method of Failure Component on Vibration and Acoustic Signals Generated by a Reciprocal Engine Based on Cross Correlation of Close Two Point Signals and Characteristic of Paralleled Auto Regressive Model with Extra Input

抄録

The failure diagnosis by vibration and acoustic signals on reciprocal engine is more difficult than independent mechanical elements, because almost reciprocal engine is composed of great number of structural bodies and mechanical elements. Reciprocal engine find it hard to identif' of failure elements to exist a number of noise sources within the engine. This paper experimentally examines the possibility of diagnose failure conditions about a four stroke twin cylinder reciprocal engine based on generated vibration and acoustic signals measured by two accelerometers and two microphones. Artificially assumed failure condition in the four stroke twin cylinder reciprocal glow engine is concerning push rod driven rocker arm and intake and exhaust valves. Identification of above the failure conditions has been carried out based on cross correlation function of close two points signals and paralleled ARX model (Auto Regressive with Extra Input) at diagnosed location within the engine. It is possible to diagnose above failure condition by the proposal SN ratio improvement method.

収録刊行物

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ