本文關(guān)鍵詞： 潤滑監(jiān)測 故障預(yù)測 信號處理 磨粒識別 故障診斷　出處：《燕山大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：本論文設(shè)計完成了一套潤滑油磨粒在線監(jiān)測系統(tǒng)。系統(tǒng)利用電磁感應(yīng)的原理,實時監(jiān)測潤滑油液中鐵磁性磨粒的尺寸和濃度信息,預(yù)測設(shè)備的運(yùn)行趨勢,實現(xiàn)故障預(yù)警。傳感器對于大于7 5 u m的鐵磁性磨粒具有良好的檢測效果。系統(tǒng)設(shè)計主要包括硬件部分和軟件部分:硬件部分包括高頻激勵源電路、模擬調(diào)理電路和數(shù)字處理電路。激勵源部分通過設(shè)計、搭建硬件電路實現(xiàn)用于初級線圈工作的高頻交流信號的穩(wěn)定輸出。模擬電路部分包括前置放大電路、帶通濾波電路、真有效值轉(zhuǎn)換電路和調(diào)零放大電路,通過模擬調(diào)理電路,使模擬信號輸出范圍在0-3 V內(nèi),以獲取高信噪比的數(shù)字信號。數(shù)字電路部分的微控制器為S T M 3 2 F 1 0 3 V E T 6,包括采樣頻率選擇、實時存儲等功能模塊。最后繪制、加工了P C B板,并完成了整個監(jiān)測系統(tǒng)硬件平臺的搭建。軟件部分設(shè)計、實現(xiàn)了模擬信號的采集和預(yù)處理,數(shù)字信號處理、液晶屏顯示以及儲存等功能。數(shù)字信號處理主要是針對潤滑油液中磨粒信號的局部加權(quán)回歸散點平滑算法(L O W E S S)的設(shè)計實現(xiàn)和極值轉(zhuǎn)換兩個部分的內(nèi)容。通過L O W E S S算法抑制、消除了信號中的噪聲,提高了檢測的性能;通過極值轉(zhuǎn)換得到了信號的峰峰值,獲取了反映磨粒尺寸和濃度的信息,以便基于油液中磨粒的分布預(yù)測設(shè)備的運(yùn)行狀態(tài)。論文最后通過兩組對比試驗,對研制的在線監(jiān)測系統(tǒng)的性能進(jìn)行了驗證,實際潤滑油液磨粒監(jiān)測實驗證明系統(tǒng)的監(jiān)測精度可滿足風(fēng)電齒輪箱潤滑油中磨粒檢測的工程要求。
[Abstract]:An on-line monitoring system for lubricating oil abrasive particles is designed and completed in this paper. The system uses the principle of electromagnetic induction to monitor the size and concentration information of ferromagnetic abrasive particles in lubricating oil in real time, and to predict the running trend of the equipment. The sensor has a good effect on the detection of ferromagnetic abrasive particles larger than 7.5 u m. The system design mainly includes the hardware part and the software part: the hardware part includes the high-frequency exciting source circuit. Analog conditioning circuit and digital processing circuit. The excitation source part is designed to build the hardware circuit to realize the stable output of the high frequency AC signal used for the primary coil work. The analog circuit includes preamplifier circuit, bandpass filter circuit, and so on. Through analog conditioning circuit, the output range of analog signal is within 0-3 V. In order to obtain the digital signal with high signal-to-noise ratio (SNR), the microcontroller of the digital circuit is S T M 3 2 F 10 3 V E T 6, which includes sampling frequency selection, real time storage and so on. Finally, the PCB board is drawn and fabricated. The hardware platform of the whole monitoring system is built, the software part is designed, the analog signal is collected and preprocessed, and the digital signal processing is realized. The digital signal processing is mainly aimed at the design and implementation of local weighted regression scatter point smoothing algorithm for abrasive signal in lubricating oil liquid and extreme value conversion. The suppression is carried out by means of the L O W E S algorithm. The noise in the signal is eliminated and the detection performance is improved. The peak and peak value of the signal is obtained by extreme value conversion, and the information reflecting the size and concentration of the abrasive particle is obtained. In order to predict the running state of the equipment based on the distribution of abrasive particles in oil, the performance of the on-line monitoring system is verified by two groups of comparative tests. It is proved that the monitoring precision of the system can meet the engineering requirements of abrasive particle detection in the lubricating oil of wind power gear box.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TE96;TP274

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