【正文】 JNL 運(yùn)用電子掃描壓力 (ESP)系統(tǒng)和壓力系統(tǒng) (PSI)。用軟件編程來(lái)校正冷端溫度，并進(jìn)行了多項(xiàng)式電壓推導(dǎo)出熱電偶溫度。負(fù)載平衡力通過單元提供動(dòng)力的 Ne_620 系列 300信號(hào)調(diào)節(jié)器。個(gè)人樣品對(duì)點(diǎn)時(shí)間平均值可以保存到磁盤。 JNL SDAS 是一個(gè)開放體系結(jié)構(gòu)的計(jì)算機(jī)。電腦顯示器整體的 Z80聲壓級(jí) (SPL)的 傳音器 陣列在 74 英寸液晶屏幕上 顯示 一個(gè)條形圖的格式 (圖 3 B)。 圖 ICS A/D 卡通過 VSB 寫數(shù)據(jù)到 SUN 硬盤。 數(shù)據(jù)記錄到 TDR 存儲(chǔ)器 ,主機(jī)通過一個(gè)定制的主計(jì)算機(jī)在 GPIB IEEE 488 總線接口或者在 TDR 16 位并行總線接口電路中下載信息。精密過濾器 Bamp。K)儀器 4136 1/4型自由響應(yīng) 傳音器 和 2811型多路復(fù)用器電源使用。 JNL DDAS是基于 SUN SPARC10 VME 計(jì)算記錄能力為 30 個(gè)動(dòng) 態(tài)通道。 在一個(gè)不能供熱的環(huán)境下導(dǎo)致 噴氣機(jī) 的噪音減少 ,并不總是 噴氣機(jī) 降噪熱的解決方案。 流體力學(xué)現(xiàn)象產(chǎn)生的羽流噪聲是紊流混合、超音速艾迪馬赫波輻射、噪聲產(chǎn)生的旋渦通過湍流沖擊噪聲寬帶沖擊作為屬性 ,共振沖擊振動(dòng)稱為尖叫。 檢查 未來(lái)的發(fā)展領(lǐng)域 。本文闡述了開發(fā)于一體的控制和測(cè)量 噴氣機(jī) 噴嘴具有雙重獨(dú)立模型高壓燃燒空氣流與風(fēng)隧道 的 綜合性系統(tǒng) 。 由數(shù)據(jù)采集器獲取的 每一個(gè)單值 都 必須 進(jìn)行 記錄 ,即使它可能在以后的分析 中不起到 任何有用的目的 ；另外 許多數(shù)據(jù)值只需當(dāng)他們 處在 預(yù)設(shè)低 限 和高限 之外時(shí)進(jìn)行記錄。 沒有任何編程設(shè)施 的 傳統(tǒng) 硬件接線 數(shù)據(jù)采集器 ,能 簡(jiǎn)單地 在固定采樣間隔內(nèi) 記錄傳感元件輸出 的 瞬時(shí)值 ， 這個(gè)原始數(shù)據(jù)通常很少 與 典型用戶 相關(guān) 。典型的 共模 噪聲抑制能力 在 110dB150dB 范圍之間，分貝 (dB)即為定義為兩種信號(hào)功率電平比值， 因此 ,如果參考 信號(hào) 和實(shí)際信號(hào)的功率 電平 分別 為 Nr、 Na,它們的比值為 n分貝 ，其中 n = 10 Log10（ Na/ Nr) 防止最大普通模式電壓 200 至 500 伏特的典型可在微機(jī)數(shù)據(jù)采集器一起使用。從絕對(duì)意義上來(lái)說(shuō)， 分辨 能力 也取決于輸入信號(hào) 的 范圍 ,標(biāo)準(zhǔn)輸入信號(hào)范圍 為 010伏特 、050 伏特和 0100 伏特 。典型的掃描速率變化從每秒 2頻道到每秒10000 個(gè)通道。 ADC 的特性能定義可實(shí)現(xiàn)的分辨率，以及 不同 通道都可以采樣 分析 的 速率 。 絕大多數(shù)的用戶可編程 的 數(shù)據(jù)采集器可以用來(lái)掃描 1000個(gè) 模擬和 1000個(gè) 數(shù)字輸入通道 。 在一些數(shù)據(jù)采集應(yīng)用中，快速通道需要可達(dá)每秒100 次的采樣速度，而慢速通道可以每隔五分鐘采樣一次。 一個(gè)數(shù)據(jù)監(jiān)測(cè)器在某個(gè)意義上說(shuō) ,它只能收集數(shù)據(jù)從特定類型的傳感器及轉(zhuǎn)換器。 獲得的數(shù)據(jù)可 用于 分析 在 過程變量 與開發(fā)自適應(yīng)和優(yōu)化過程控制必須的數(shù)學(xué)模型之間是否具 有 差異性。第一代數(shù)據(jù)采集器沒有任何可編程計(jì)算機(jī)設(shè)備 ,采用慢速?gòu)囊话賯€(gè)頻道采集了數(shù)據(jù)。 其計(jì)算能力需要將取決于類型的過 程控制系統(tǒng)的實(shí)現(xiàn)。 所有數(shù)據(jù)都存儲(chǔ)在輔助存儲(chǔ)設(shè)備 上，隨后獲得感興趣的變量。 Kj_r (Bamp。 大連交通大學(xué)信息工程學(xué)院 畢業(yè)設(shè)計(jì) (論文 )外文翻譯 學(xué)生姓名 1111 專業(yè)班級(jí) 自動(dòng)化 0111班 指導(dǎo)教師 1111 職 稱 11111 所在單位 電氣工程系 教研室 主任 完成日期 1111 年 4 月 13 日 大連 交通大學(xué)信息工程 學(xué)院 2021 屆本科生畢業(yè)設(shè)計(jì)（論文）外文翻譯 1 Date Acquisition Date acquisition systems are used to acquire process operating data and store it on secondary storage devices for later analysis. Many of the data acquisition systems acquire this data at very high speeds and very little puter time is left to carry out any necessary, or desirable, data manipulations or reduction. All the data are stored on secondary storage devices and manipulated subsequently to derive the variables of interest. It is very often necessary to design special purpose data acquisition systems and interfaces to acquire the high speed process data. This special purpose design can be an expensive proposition. Powerful mini and mainframe puters are used to bine the data acquisition with other functions such as parisons between the actual output and the desirable output values, and to then decide on the control action which must be taken to ensure that the output variables lie within preset limits. The puting power required will depend upon the type of process control system implemented .Software requirements for carrying out proportional, ratio or three term control of process variables are relatively trivial , and microputers can be used to implement such process control systems . It would not be possible to use many of the currently available microputers for the implementation of high speed adaptive control systems which require the use of suitable process models and considerable online manipulation of data. Microputer based data loggers are used to carry out intermediate functions such as data acquisition at paratively low speeds, simple mathematical manipulations of raw data and some forms of data reduction. The first generation of data loggers, without any programmable puting facilities, were used simply for slow speed data acquisition from up to one hundred channels. All the acquired data could be punched out on paper tape or printed for subsequent analysis. Such hardwired data loggers are being replaced by the new generation of data loggers which incorporate microputers and can be programmed by the user. They offer an extremely good method of collecting the process data, using standardized interfaces, and subsequently performing the necessary manipulations to provide the information of interest to the process operator. The data acquired can be analyzed to establish correlations, if any, between process variables and to develop mathematical models necessary for adaptive and optimal process control. The data acquisition function carried out by data loggers varies from one logging system to another. Simple data logging systems acquire data from a few channels while plex systems can receive data from hundreds, or even thousands, of input channels distributed 大連 交通大學(xué)信息工程 學(xué)院 2021 屆本科生畢業(yè)設(shè)計(jì)（論文）外文翻譯 2 around one or more processes. The rudimentary data loggers scan select number of channels, connected to sensors or transducers, in a sequential manner and the data are recorded in digital format. A data logger can be dedicated in the sense that it can only collect data from particular types of sensors and transducers. It is best to use a nondedicated data logger since any transducer or sensor can be connected to the use of appropriate signal conditioning modules. Microputer controlled data acquisition facilitates the scanning of a large number of sensors. The scanning rate depends upon the signal dynamics which means that some channels must be scanned at very high speeds in order to avoid aliasing errors while here is very little loss of information by scanning other cannels at slower speeds. In some data logging applications the faster channels require sampling at speeds of up to 100 times per second while slow channels can be sampled once every five minutes. The conventional hardwired, nonprogrammable data loggers sample all the channels in a sequential manner and the sampling frequency of all the channels must be the same. This procedure results in the accumulation of very large amounts of data, some of which is unnecessary, and also slows down the overall effective sampling frequency. Microputer based data loggers can be used to scan some fast channels at a higher frequency than o