Presentation | 2000/10/13 Failure Diagnosis of Reciprocating Machinery by Information Theory Toshio TOYOTA, Tomoya NIHO, Takahiro ANCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the conventional method, condition diagnosis is carried out based on the probability density function of time domain signal and power spectrum of frequency domain signal. However, in the condition diagnosis of these signals has serious drawbacks that are insensitive to the signal location or timing, so it is difficult to diagnosis the condition of reciprocating machinery. In this paper, we propose a new condition diagnosis method that can be extract the features of location and timing by introducing rotational angle density function. In this method, the machine condition is evaluated by Kullback-Leibler Information of rotational angle density function. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Failure diagnosis / Reciprocating machinery / Information theory / Rotational angle density function |
Paper # | R2000-18 |
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Committee | R |
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Conference Date | 2000/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Reliability(R) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Failure Diagnosis of Reciprocating Machinery by Information Theory |
Sub Title (in English) | |
Keyword(1) | Failure diagnosis |
Keyword(2) | Reciprocating machinery |
Keyword(3) | Information theory |
Keyword(4) | Rotational angle density function |
1st Author's Name | Toshio TOYOTA |
1st Author's Affiliation | Faculty of Computer Science and System Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Tomoya NIHO |
2nd Author's Affiliation | Faculty of Computer Science and System Engineering, Kyushu Institute of Technology |
3rd Author's Name | Takahiro ANCHI |
3rd Author's Affiliation | Faculty of Computer Science and System Engineering, Kyushu Institute of Technology |
Date | 2000/10/13 |
Paper # | R2000-18 |
Volume (vol) | vol.100 |
Number (no) | 377 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |