308 Acoustic Diagnosis on Rolling Bearings Based on Adaptive Signal Processing Algorithm : Characteristics of Applying LMS, GAL and LSL Algorithm on Adaptive line Enhancer
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- OHTA Hiromitsu
- National Fisheries University
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- SETO Kunisato
- Saga University
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- Khan T.I.
- Saga University
Bibliographic Information
- Other Title
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- 308 適応信号処理アルゴリズムによる転がり軸受の音響診断 : 適応線スペクトル強調器にIMS, GALおよびLSLアルゴリズムを用いた特性(計測・音質・診断,OS-19 音響・振動)
Abstract
In this research, an acoustic diagnosis technique correspond to strong non stationary signal for a failure rolling bearing a kind of rotary machinery components is proposed using adaptive signal processing algorithms. This proposed acoustic diagnosis technique is used to three adaptive signal processing algorithms to identify optimum algorithm for exactly detecting failure rolling bearing. In this paper, applied adaptive signal processing algorithms are investigated against adaptive line enhancer a kind of adaptive filter to extract a periodic abnormal signal including noise generated by machinery components. Finally, optimum adaptive algorithm in order to diagnose a failure rolling bearing has been identified using a rotary machinery simulator.
Journal
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- The Proceedings of the Dynamics & Design Conference
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The Proceedings of the Dynamics & Design Conference 2004 (0), _308-1_-_308-6_, 2004
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390001205888613504
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- NII Article ID
- 110004301784
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- ISSN
- 24242993
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed