自動診斷設備 的英文怎麼說
中文拼音 [zìdòngzhěnduànshèbèi]
自動診斷設備
英文
self-diagnostic facility- 自 : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
- 診 : 動詞(診察) examine (a patient)
- 斷 : Ⅰ動詞1 (分成段) break; snap 2 (斷絕;隔斷) break off; cut off; stop 3 (戒除) give up; abstai...
- 設 : Ⅰ動詞1 (設立; 布置) set up; establish; found 2 (籌劃) work out : 設計陷害 plot a frame up; fr...
- 備 : Ⅰ動詞1 (具備; 具有) have; be equipped with 2 (準備) prepare; provide with; get ready 3 (防備...
- 自動 : 1 (自己主動) voluntarily; of one s own accord 2 (不憑借人為的力量) automatic; spontaneous 3 ...
- 診斷 : diagnose; diagnosis; diacrisis
- 設備 : equipment; device; facility; implementor; apparatus; installation; appointment; furnishing; setou...
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With the modem industrial equipment developing towards enlargement, consecution, super speed and automatization, more and more people pay attention to the failure diagnosis technology of mechanical equipment
隨著現代工業生產設備大型化、連續化、高速化和自動化的不斷發展,機械設備的故障診斷技術越來越受到重視。Operation / maintenance / fault diagnosis and rectification of plc controlled automated machinery, robot control systems and automated electrical test equipment
操作/維修/故障診斷和更改plc控制的自動化機械,機器控制系統和電氣自動化測試設備The pos system has been designed and developed, which works on windows operating system, and has friendly interface and multi - function. several maintenances can diagnose and prompt the type of error automatically once the system fall into fault
設計並開發了pos前臺銷售系統,該系統基於windows操作系統平臺,具有友好的界面、完備的功能,並且易於維護;採用多種錯誤保護措施,並在系統出現故障時自動診斷錯誤類型並及時提示用戶。The built - in test ( bit ) is an integral capability of the mission system or equipment which provides an automated test capability to detect, diagnose or isolate failures
機內測試( built - intest , bit )是系統或設備自身為故障檢測、隔離或診斷提供的自動測試能力。Wear particle ' s automatic recognition and analysis is one of the most important but difficult key problem in the realization of automatic machine wear monitoring and intelligent diagnosis system
機器設備摩擦副磨屑微粒(磨粒)是判斷運行中摩擦副磨損狀態的主要依據,而磨粒的定量分析描述與自動識別,長期以來一直是設備磨損狀態監測與故障診斷信息流程中最為復雜和亟待解決的關鍵問題。The automatic biochemical analyzer is an instrument including optics, mechanics and electronics technology. it is used in the detection of various biochemical indexes of body fluid. it is one of the necessary instruments for clinical diagnostics in hospital
全自動生化分析儀是一個集光、機、電於一體的大型生化檢驗設備,主要用於臨床檢驗人體體液中的各種生化指標,是醫療機構進行臨床診斷所必須的儀器之一。Previously, all information of substation automation system was sent to the control center. the control center only cares daily operation and handles fault, but does n ' t do the work such as equipment diagnoses and protective operation analysis
以前,牽引變電所自動化系統將保護信息和錄波信息全部送往調度中心,但調度中心只關心日常操作和事故處理,而不用錄波數據和其它信息進行保護動作行為分析和設備診斷之類的工作。Today, the industry requires the manufacturing equipments to be more automatic, optimized, flexible, integrated, intelligent, accurate and high - speed. so they must have the characters of monitoring and fault - diagnosis
製造系統的自動化、最優化、柔性化、集成化、智能化、精密化和高速化趨勢,對過程及設備的狀態監測和故障診斷提出越來越高的要求。The equipment has many functions - without maintenance, full - automatic, without operation, automatically examining malfunction, etc. and it make the safety ascend a new step in the production. this particular product founded the first river of prevent blast on coal and powder system in whole process, it is on top in the international
它在pld超導自動啟閉系列防爆門充分解決煤制粉安全泄爆問題的基礎上,又進一步解決了系統的預防爆炸問題惰化保護設備為免維護全自動免操作故障自動診斷功能,使安全生產躍上了一個新臺階。Key differentiators are the ability to enable self - diagnostic and self - healing capabilities on mobile devices ; a centrally managed, web - based console that works over the air with client software ; and intelligent delivery of updates based on bandwidth and network connectivity
主要區別是在移動設備上進行實現自我診斷和自我處理的能力,通過無線網路與客戶端軟體協同工作的集中管理的、基於web的控制臺,以及以帶寬和網路連接為基礎進行更新的智能傳送。The operation reliability of the power transformer as the key equipment in electrical power systems, influences operation security of electrical power systems directly. the components and contents of gases dissolved in transformer oil can be used to reflects internal insulation faults of operating transformer. in order to overcome the errors caused by complex handling procedure and man - made factors using general chromatogram analysis method, author brings forward an on - line detecting of gases dissolved in transformer oil by using macromolecule polymer to separate oil and gases automatically and an information fusion technology of multi - sensors ; at the same time, in order to improve the accuracy and reliability, author uses neural networks to diagnose transformer faults
變壓器作為電力系統的樞紐設備,其運行可靠性直接影響電力系統的安全運行;變壓器油中溶解氣體的成分和含量能有效體現運行變壓器內部的絕緣故障情況,為解決常規色譜分析中復雜的操作程序和由於人為因素引起的較大的誤差,論文提出了應用高分子聚合膜實現變壓器油氣自動分離、多傳感信息融合技術智能檢測多種氣體成分的變壓器油中溶解氣體在線監測技術,應用神經網路智能診斷方法實施故障診斷,提高變壓器故障診斷的準確性和可靠性。The rtmaad system was integrated with digital signal processing ( dsp ), global information system ( cis ), optic time domain reflective ( otdr ) meter technology, wave division multiplexing ( wdm ) technology, etc. the rtmaad system made a realization that optical cable " s abort is auto located exactly. at the same time, the rtmaad system can monitor and diagnose both the optical terminal " s fault and power " s error of the stations of the fiber optical transmission network
Rtmaad系統綜合應用了數字信號處理、地理信息系統、光時域反射測量和波分復用等技術,實現了光纜中斷故障的自動準確定位,同時將光纖系統傳輸站的光端設備和電源設備的監測融合到一起進行故障實時監測和診斷。This paper presents the design of an automatic equipment fault diagnosis system by integrating the general exploration procedure of artificial neural network with the specialized roles for faults allocation defined in fuzzy algorithms
摘要介紹了一種神經網路與模糊演算法相結合的自動設備故障診斷系統,即將人工神經網路對故障定位的一般搜索與模糊演算法對故障定位的特殊規則相結合。The nonstationary vibration sources that are mutually independent can be effectively identified by using the nonstationary blind source separation method from the multi - channel fault vibration signals
對于多通道的設備故障振動信號,應用非平穩信號的盲源分離演算法,可以有效地提取各自獨立的非平穩振動源,從而可以準確地進行機械故障診斷。Following by the quick technology development, new machine fabricate system is becoming automatic, integrated and flexible. in order to ensure the safety of equipment and workpiece, avoid some accident, increase productivity and machine ' s utilization, monitoring and fault diagnosis are needed
近十多年來,由於科學技術的飛速發展,現代機械製造系統正朝著高自動化、高集成化和高柔性化的方向發展,為保證現代機械製造系統中的自動加工設備與工件的安全,避免重大事故,提高生產率和機床利用率,必須採用監控和故障診斷技術加強設備的運行管理。分享友人