| Presentation | 2014-11-20 Diagnosis Method for Faults of Machine by Using Correlation Information between Sound and Vibration Hisako ORIMOTO, Akira IKUTA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is important to specify the occurrence and cause of failure of machines without stopping the machines because of increased use of various complex industrial systems. In this study, two new diagnosis methods based on the correlation information between sound and vibration emitted from the machine are derived. First, the diagnosis method to estimate the changing information of correlation information between sound and vibration is considered by measuring simultaneously the time series data on sound and vibration, and using prior information in only normal situation. Next, a diagnostic method which can detect the kind of fault among the preconcerted plural faults of machine. The effectiveness of the proposed theory is experimentally confirmed by applying it to the observed data emitted from a rotational machine driven by an electric motor. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | diagnosis method for faults / sound and vibration / time domain / correlation information |
| Paper # | EA2014-30,EMM2014-58 |
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| Conference Information | |
| Committee | EMM |
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| Conference Date | 2014/11/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Enriched Multimedia (EMM) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Diagnosis Method for Faults of Machine by Using Correlation Information between Sound and Vibration |
| Sub Title (in English) | |
| Keyword(1) | diagnosis method for faults |
| Keyword(2) | sound and vibration |
| Keyword(3) | time domain |
| Keyword(4) | correlation information |
| 1st Author's Name | Hisako ORIMOTO |
| 1st Author's Affiliation | Department of Management and Information Systems, Prefectural University of Hiroshima() |
| 2nd Author's Name | Akira IKUTA |
| 2nd Author's Affiliation | Department of Management and Information Systems, Prefectural University of Hiroshima |
| Date | 2014-11-20 |
| Paper # | EA2014-30,EMM2014-58 |
| Volume (vol) | vol.114 |
| Number (no) | 316 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |