書誌事項
- タイトル別名
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- 105 Extraction Method of Fault Component on Acoustic Signals Generated by an Outboard Marine Engine Based on Characteristic of Paralleled Auto Regressive Model with Extra Input.
抄録
The fault diagnosis by 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 identify of fault elements to exist a number of noise sources within the engine. This paper experimentally examines the possibility of diagnose fault conditions about a four stroke outboard marine engine based on generated acoustic signals measured by two microphones. Artificially assumed fault condition in the outboard engine is concerning intake and exhaust valve spring. Identification of above the fault 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 fault condition by the proposal SN ratio improvement method.
収録刊行物
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- 評価・診断に関するシンポジウム講演論文集
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評価・診断に関するシンポジウム講演論文集 2010.9 (0), 29-32, 2010
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390001205890479104
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- NII論文ID
- 110008743350
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- ISSN
- 24243027
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可