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基于局域波時(shí)頻圖像處理技術(shù)的壓縮機(jī)故障診斷
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    摘要:

    結(jié)合局域波理論,、圖像處理技術(shù)和CPN網(wǎng)絡(luò)模式分類(lèi)器,,提出了一種提取故障特征信息的智能診斷方法,。往復(fù)式壓縮機(jī)氣缸的振動(dòng)信號(hào)經(jīng)過(guò)局域波算法處理得到局域波時(shí)頻譜,利用圖像分割技術(shù)對(duì)該時(shí)頻譜灰度進(jìn)行有效描述和分析,,繼而利用CPN網(wǎng)絡(luò)分類(lèi)器針對(duì)典型故障特征信息進(jìn)行歸類(lèi),。實(shí)際應(yīng)用表明,該方法具有一定的工程實(shí)用性,。

    Abstract:

    Combining with the local wave method, image processing and CPN classification pattern, a new intelligent diagnosis method on fault information extraction was proposed in this paper. Firstly using the local wave method, the vibration signal from reciprocating compressor was disposed to local wave time-frequency spectra, which was further processed by the image partition method, while the result was set as the input of CPN classification mode. In CPN mode, the terminal was associated with the typical fault character of reciprocating compressor. Application of the method in fault diagnosis on a cylinder of the reciprocating compressor showed it a practicability.

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別鋒鋒,王奉濤,呂鳳霞.基于局域波時(shí)頻圖像處理技術(shù)的壓縮機(jī)故障診斷[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2007,38(9):159-162.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(9):159-162.

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