隨著(zhe)工(gong)業(ye)設(she)備(bei)向(xiang)大(da)型(xing)化、復雜化(hua)和(he)自(zi)動(dong)化(hua)方(fang)向(xiang)發(fa)展,設(she)備(bei)運(yun)行(xing)狀(zhuang)態的實(shi)時監測變得(de)尤為(wei)重(zhong)要(yao)。振動(dong)在(zai)線監測作(zuo)為壹種非(fei)侵(qin)入式的檢(jian)測手段,能(neng)夠在不(bu)影響(xiang)設(she)備(bei)正常運(yun)行(xing)的情(qing)況(kuang)下,持續(xu)獲(huo)取設(she)備(bei)的振動(dong)信(xin)號(hao),為(wei)設(she)備(bei)健(jian)康狀(zhuang)態(tai)評估(gu)提供可(ke)靠(kao)依(yi)據(ju)。振動(dong)監測系(xi)統(tong)通(tong)過實(shi)時采集、分析(xi)和(he)處(chu)理振動(dong)數據(ju),可(ke)以(yi)及時發(fa)現(xian)設(she)備(bei)異(yi)常,預(yu)測潛(qian)在(zai)故障(zhang),從而避(bi)免突發(fa)性停(ting)機(ji)事(shi)故,降(jiang)低(di)維護成(cheng)本,提(ti)高生產效率。
壹、基(ji)本原(yuan)理
系(xi)統(tong)的工作(zuo)原理基於機械振動(dong)理論和(he)信(xin)號(hao)處(chu)理技(ji)術。當機械設(she)備(bei)運(yun)行(xing)時,由於零部(bu)件間的相(xiang)互作用(yong)和(he)運(yun)動(dong),會(hui)產生特(te)定的振動(dong)信(xin)號(hao)。這(zhe)些(xie)振動(dong)信(xin)號(hao)包(bao)含(han)了豐(feng)富的設(she)備(bei)狀(zhuang)態(tai)信(xin)息(xi),通(tong)過分(fen)析(xi)這(zhe)些(xie)信(xin)號(hao)的幅(fu)值(zhi)、頻率和(he)相(xiang)位(wei)等特(te)征參(can)數,可(ke)以(yi)判(pan)斷設(she)備(bei)的運(yun)行(xing)狀(zhuang)態是(shi)否正常。
系(xi)統(tong)首(shou)先通過高精(jing)度傳感(gan)器將機(ji)械振動(dong)轉(zhuan)換為電(dian)信(xin)號,這(zhe)壹過程(cheng)遵(zun)循機(ji)電轉換原理。常用(yong)的振動(dong)傳感(gan)器包(bao)括加(jia)速(su)度計(ji)、速(su)度傳感(gan)器和(he)位(wei)移(yi)傳感(gan)器等,它們(men)分別(bie)測量(liang)振動(dong)的加(jia)速(su)度、速(su)度和(he)位(wei)移(yi)參(can)數。傳感(gan)器選(xuan)擇需(xu)根據(ju)監測對(dui)象(xiang)的振動(dong)特(te)性和(he)監測要(yao)求確定(ding),以(yi)確保(bao)獲(huo)取的信號(hao)能夠準(zhun)確反(fan)映(ying)設(she)備(bei)狀(zhuang)態(tai)。

二(er)、系(xi)統(tong)的組成(cheng)與架構(gou)
完整的振動(dong)在(zai)線監測系(xi)統(tong)通(tong)常由(you)傳感(gan)器網絡、數據(ju)采(cai)集單元(yuan)、數據(ju)傳輸網絡、數據(ju)處(chu)理中心(xin)和(he)用(yong)戶界(jie)面等部(bu)分(fen)組(zu)成(cheng)。傳感(gan)器網絡負責實(shi)時感知設(she)備(bei)振動(dong)狀(zhuang)態(tai),通(tong)常采(cai)用(yong)分布式布局以(yi)覆蓋(gai)關鍵監測點(dian)。數據(ju)采(cai)集單元(yuan)將傳感(gan)器輸出(chu)的模(mo)擬(ni)信(xin)號(hao)轉換為數字(zi)信(xin)號,並進行初(chu)步處(chu)理和(he)緩存。數據(ju)傳輸網絡可(ke)采(cai)用(yong)有線或無線方(fang)式(shi),將采(cai)集到的振動(dong)數據(ju)傳送(song)到(dao)中央(yang)處(chu)理系(xi)統(tong)。
數據(ju)處(chu)理中心(xin)是系(xi)統(tong)的核(he)心(xin),配(pei)備專(zhuan)業(ye)的振動(dong)分(fen)析(xi)軟(ruan)件,能夠對海量(liang)振動(dong)數據(ju)進(jin)行(xing)存儲、處(chu)理和(he)分(fen)析(xi)。先進的系(xi)統(tong)還(hai)具(ju)備機(ji)器學習(xi)能(neng)力(li),可(ke)以(yi)通過歷(li)史(shi)數據(ju)訓(xun)練(lian)模(mo)型(xing),提(ti)高故障(zhang)診斷的準(zhun)確性(xing)。用(yong)戶界(jie)面提供直(zhi)觀(guan)的數據(ju)展示(shi)和(he)報(bao)警功能(neng),使(shi)操作(zuo)人(ren)員能(neng)夠及時了解設(she)備(bei)狀(zhuang)態(tai)並采取相(xiang)應(ying)措施。
三、應(ying)用(yong)價(jia)值(zhi)
系(xi)統(tong)在(zai)工(gong)業(ye)生產中具(ju)有顯(xian)著(zhu)的應(ying)用(yong)價(jia)值(zhi)。首(shou)先,它實(shi)現(xian)了從(cong)定期(qi)檢(jian)修到(dao)狀態(tai)檢(jian)修的轉變,大(da)大提高了(le)設(she)備(bei)維護的針(zhen)對性(xing)和(he)有(you)效(xiao)性(xing)。其次(ci),系(xi)統(tong)能(neng)夠早期(qi)發(fa)現(xian)設(she)備(bei)異(yi)常,避(bi)免故障(zhang)擴(kuo)大化(hua),延長(chang)設(she)備(bei)使(shi)用(yong)壽命(ming)。統(tong)計(ji)數據(ju)顯(xian)示(shi),采用(yong)振動(dong)監測系(xi)統(tong)可(ke)將非(fei)計(ji)劃停(ting)機時間減(jian)少(shao)40%-60%,維護成(cheng)本降(jiang)低(di)25%-35%。
此(ci)外(wai),系(xi)統(tong)積(ji)累的大量(liang)歷(li)史(shi)數據(ju)為(wei)設(she)備(bei)性(xing)能(neng)優(you)化提供了寶貴(gui)資(zi)源(yuan)。通(tong)過分(fen)析(xi)長期(qi)振動(dong)數據(ju)變化(hua)趨勢(shi),可(ke)以(yi)評估(gu)設(she)備(bei)性(xing)能(neng)退(tui)化程(cheng)度,為(wei)設(she)備(bei)更新(xin)改造決(jue)策提(ti)供依(yi)據(ju)。系(xi)統(tong)還(hai)能(neng)與其他(ta)管理系(xi)統(tong)集成(cheng),實(shi)現(xian)設(she)備(bei)全(quan)生命(ming)周(zhou)期(qi)管理,提升(sheng)企(qi)業(ye)整體運(yun)營(ying)效率。
振動(dong)在(zai)線監測系(xi)統(tong)通(tong)過實(shi)時采集和(he)分(fen)析(xi)設(she)備(bei)振動(dong)信(xin)號(hao),為(wei)設(she)備(bei)健(jian)康管理提供了有(you)效手段。其(qi)工(gong)作(zuo)原(yuan)理基於機械振動(dong)理論和(he)先進傳感(gan)技(ji)術,系(xi)統(tong)組(zu)成(cheng)涵蓋了從數據(ju)采(cai)集到分(fen)析(xi)應(ying)用(yong)的完整鏈(lian)條(tiao)。隨著(zhe)物(wu)聯網、大數據(ju)和(he)人(ren)工智(zhi)能(neng)技(ji)術的發(fa)展,振動(dong)監測系(xi)統(tong)將更加(jia)智(zhi)能(neng)化、精(jing)準(zhun)化(hua),在(zai)工(gong)業(ye)設(she)備(bei)維護領域(yu)發(fa)揮更大作(zuo)用(yong)。未(wei)來研究(jiu)應(ying)關註多(duo)源(yuan)信(xin)息(xi)融(rong)合(he)、邊緣計(ji)算(suan)等新(xin)技(ji)術的應(ying)用(yong),進壹步(bu)提(ti)升(sheng)系(xi)統(tong)的可(ke)靠(kao)性和(he)實(shi)用(yong)性。