アコースティック・インスペクション

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書誌事項

タイトル別名
  • Acoustic Inspection
  • アコースティック・インスペクション--コンプレッサの異音検査
  • アコースティック インスペクション コンプレッサ ノ イオン ケンサ
  • Diagnostic of Compressor
  • コンプレッサの異音検査

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抄録

In factory, it is very significant to inspect products automatically. This paper treats automatic inspection of compressor which human does at present. It is hard and difficult to inspect because the difference between good and no-good is very little. We treated the following abnormals: blade error, cylinder's flaw and dust insertion. As the mechanism of abnormal sound production is different, different driving method is required. This paper proposes two methods respectively.<br>Though the length of a cycle of compressor's sound is stable in the case of normal compressor, the length of blade error is not stable. From this fact, subtraction between nearby cycles is available in inspection of blade error. In the case of cylinder's flaw and dust insertion inspection, variance of wave gives us useful information. When cylinder's flaw of dust insertion occurs, it makes high frequency. To recognize it, variance of wave is effective. The wave has two part: one is stable and the other is not stable. One cycle is divided into 64 blocks and variance of each block is calculated. Block is grouped into two according to being stable or not stable. Two parameters are calculated by adding variance in each group. The combination of these two parameters makes possible to recognize. From experiment, 100% is recognition rate in the case of inspecting about blade error and 93% is the recognition rate in the case of cylinder's flaw and dust insertion.<br>The automatic factory system can be constructed by automatic acoustic inspection proposed in this paper. The possibility to recognize the error which human can not recognize has a significant meaning in the industry.

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