本文選題：數(shù)字信號(hào)處理 + 磨粒監(jiān)測(cè)��； 參考：《北京交通大學(xué)》2017年碩士論文

【摘要】：摘要:在風(fēng)力發(fā)電機(jī)運(yùn)行過(guò)程中,其內(nèi)部的部件會(huì)相互接觸摩擦產(chǎn)生磨損顆粒,這些磨粒隨著潤(rùn)滑油在油路中循環(huán)。通過(guò)監(jiān)測(cè)風(fēng)力發(fā)電機(jī)油液中的磨粒信息可以確定合適的換油時(shí)機(jī)以及判斷風(fēng)力發(fā)電機(jī)的磨損程度,從而增加風(fēng)力發(fā)電機(jī)的安全性及延長(zhǎng)其使用壽命。本文針對(duì)磨粒信號(hào)檢測(cè)存在的難點(diǎn),提出了磨粒信號(hào)檢測(cè)算法,研究并設(shè)計(jì)了一套風(fēng)機(jī)油液磨粒在線監(jiān)測(cè)系統(tǒng),實(shí)現(xiàn)對(duì)風(fēng)力發(fā)電機(jī)油液中的磨粒在線監(jiān)測(cè)。本文研究的對(duì)象為風(fēng)機(jī)油液磨粒在線監(jiān)測(cè)系統(tǒng),分別從系統(tǒng)的設(shè)計(jì)需求、磨粒信號(hào)檢測(cè)算法、系統(tǒng)的總體設(shè)計(jì)三個(gè)方面展開(kāi)研究。(1)提出了風(fēng)機(jī)油液磨粒在線監(jiān)測(cè)系統(tǒng)的總體設(shè)計(jì)框架,由磨粒傳感器、磨粒信號(hào)數(shù)據(jù)處理、上位機(jī)三部分組成。磨粒信號(hào)數(shù)據(jù)處理部分需要具備對(duì)磨粒數(shù)據(jù)的采集、數(shù)據(jù)處理、數(shù)據(jù)存儲(chǔ)、數(shù)據(jù)通信等功能,根據(jù)各項(xiàng)功能,提出相應(yīng)的方法策略,并根據(jù)系統(tǒng)設(shè)計(jì)的需求進(jìn)行選擇。(2)分析了磨粒信號(hào)檢測(cè)存在的難點(diǎn),主要包括高頻信號(hào)干擾、基線漂移、尖峰干擾、慣性假峰、波形截?cái)嗟葐?wèn)題,這些問(wèn)題的存在會(huì)造成磨粒多檢和漏檢。利用多項(xiàng)式擬合移動(dòng)平滑濾波算法對(duì)信號(hào)進(jìn)行濾波,消除高頻信號(hào)干擾;利用尋峰算法解決基線漂移、尖峰干擾、慣性假峰的問(wèn)題,從采樣信號(hào)中尋找到磨粒波形的波峰和波谷;提出兩類(lèi)分類(lèi)算法解決波形截?cái)嗟膯?wèn)題,根據(jù)波峰和波谷的信息對(duì)磨粒信號(hào)分類(lèi),提取出真實(shí)磨粒數(shù)據(jù)信息。(3)從軟件和硬件上設(shè)計(jì)并實(shí)現(xiàn)了風(fēng)機(jī)油液磨粒在線監(jiān)測(cè)系統(tǒng)。在軟件上,實(shí)現(xiàn)了通過(guò)DMA的方式搬移采樣數(shù)據(jù)、利用I2C總線將數(shù)據(jù)存儲(chǔ)進(jìn)鐵電存儲(chǔ)器中、通過(guò)Modbus通信協(xié)議實(shí)現(xiàn)與上位機(jī)的通信等功能;硬件方面,設(shè)計(jì)了以DSP為核心的系統(tǒng)硬件電路。本文通過(guò)實(shí)驗(yàn)對(duì)磨粒信號(hào)檢測(cè)算法中的參數(shù)進(jìn)行設(shè)置、通過(guò)數(shù)據(jù)連續(xù)性測(cè)驗(yàn)驗(yàn)證了 DMA搬移數(shù)據(jù)的可行性、通過(guò)濾波測(cè)試驗(yàn)證了濾波算法的有效性、通過(guò)磨粒檢測(cè)實(shí)驗(yàn)驗(yàn)證了磨粒檢測(cè)算法對(duì)于直徑大于100μm的鐵磁磨粒和直徑大于500μm的非鐵磁磨粒具有較好的檢測(cè)效果、通過(guò)上位機(jī)監(jiān)測(cè)的結(jié)果驗(yàn)證了整個(gè)系統(tǒng)的有效性。
[Abstract]:Absrtact: during the operation of wind turbine, the internal components of wind turbine will contact each other to produce wear particles, which circulate in the oil circuit with lubricating oil. By monitoring the information of abrasive particles in the oil of wind turbine, we can determine the right time of oil exchange and judge the degree of wear of wind turbine, so as to increase the safety of wind turbine and prolong its service life. Aiming at the difficulties in the signal detection of abrasive particles, this paper puts forward an algorithm for detecting the signal of abrasive particles, studies and designs a set of on-line monitoring system of wear particles in fan oil, which can realize the on-line monitoring of abrasive particles in the oil of wind turbine. The object of this paper is the on-line monitoring system of oil abrasive particles in fan, which is based on the design requirements of the system, the signal detection algorithm of abrasive particles, The overall design framework of the on-line monitoring system for oil abrasive particles in fan is proposed, which consists of three parts: abrasive particle sensor, abrasive particle signal data processing and upper computer. The data processing part of abrasive particle signal needs to have the functions of collecting, processing, storing, communicating and so on. According to each function, the corresponding method and strategy are put forward. According to the requirements of the system design, the paper analyzes the difficulties of the wear particle signal detection, including high frequency signal interference, baseline drift, spike interference, inertia false peak, waveform truncation and so on. The existence of these problems will result in multiple detection and missed detection of abrasive particles. The polynomial fitting moving smoothing filter algorithm is used to filter the signal to eliminate the high frequency signal interference, and the peak seeking algorithm is used to solve the problems of baseline drift, peak interference and inertial false peak. Two kinds of classification algorithms are proposed to solve the problem of waveform truncation. According to the information of wave peak and trough, the wear particle signal is classified. The real abrasive particle data information is extracted. The on-line monitoring system of fan oil abrasive particles is designed and implemented from the software and hardware. In software, the data is moved by DMA, the data is stored in ferroelectric memory by I2C bus, and the communication with host computer is realized by Modbus protocol. The system hardware circuit based on DSP is designed. In this paper, the parameters of abrasive signal detection algorithm are set through experiments, the feasibility of DMA moving data is verified by data continuity test, and the validity of filtering algorithm is verified by filter test. The testing results show that the algorithm is effective for ferromagnetic abrasive particles with diameter greater than 100 渭 m and non-ferromagnetic abrasive particles with diameter greater than 500 渭 m, and the effectiveness of the whole system is verified by the monitoring results of upper computer.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TM315

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本文編號(hào)：2040540