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- YUNUS Umut
- Osaka Prefecture University The Institute of Electronics, Information and Communication Engineers
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- TSUNASAKI Masaru
- Osaka Gas Co., Ltd.
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- HE Yiwei
- Osaka Electro-Communication University The Institute of Electronics, Information and Communication Engineers
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- KOMINAMI Masanobu
- Osaka Electro-Communication University The Institute of Electronics, Information and Communication Engineers
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- YAMASHITA Katsumi
- Osaka Prefecture University The Institute of Electronics, Information and Communication Engineers
この論文をさがす
抄録
Gas or water leaks in pipes that are buried under ground or that are situated in the walls of buildings may occur due to aging or unpredictable accidents, such as earthquakes. Therefore, the detection of leaks in pipes is an important task and has been investigated extensively. In the present paper, we propose a novel leak detection method by means of acoustic wave. We inject an acoustic chirp signal into a target pipeline and then estimate the leak location from the delay time of the compressed pulse by passing the reflected signal through a correlator. In order to distinguish a leak reflection in a complicated pipeline arrangement, the reflection characteristics of leaks are carefully discussed by numerical simulations and experiments. There is a remarkable difference in the reflection characteristics between the leak and other types of discontinuity, and the property can be utilized to distinguish the leak reflection. The experimental results show that, even in a complicated pipe arrangement including bends and branches, the proposed approach can successfully implement the leak detection. Furthermore, the proposed approach has low cost and is easy to implement because only a personal computer and some commonly equipment are required.
収録刊行物
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A (8), 2053-2061, 2008
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詳細情報 詳細情報について
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- CRID
- 1390282681288221056
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- NII論文ID
- 10026850781
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- NII書誌ID
- AA10826239
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- ISSN
- 17451337
- 09168508
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- 本文言語コード
- en
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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