外文翻譯----多傳感器的自我測(cè)量診斷系統(tǒng)(文件)
【正文】 through a 12 bit digitaltoanalog converter PAC. One plete “read cycle” involves processing the analog sensor voltages him all 36 sensors to obtain 36 binary readings. The binary output from the parator is fed to the microcontroller for so hare processing. The microcontroller counts the number of binary “ones” in a read cycle. Based on the number of “ones”, statistical estimation is used to obtain the temperature estimate V as follows. If the accuracy of the estimate, given by Arid, does not meet a predetermined level, successive approximation is carried out to reduce or narrow down the reference voltage range. The new reference voltage range for the new “read cycle” is given . where V is the current estimate of the sensor output, Avert ,o is the current quantized voltage step size and k is an integer that controls the next reference voltage range (in this case, k = 2). The new voltage range is again quantized into m levels with a voltage step sue of Avail and another “read cycle” is carried out to obtain a new estimate of the sensor output, The successive approximation is carried out until the required accuracy is obtained. In general, the reference voltage range, step size and the estimated sensor voltage output after the successive approximation (i = 1,2,...) are given by: The final voltage estimate is converted into a temperature reading using the conversion formula obtained from the initial calibration. Apart from calculating the temperature estimate, the software process is also responsible for synchronizing the various hardware ponents to ensure that the sensor readings are processed in the correct order. The flowchart in Fig. 2 shows the software algorithm for temperature measurement. Overall, the system works by digitizing the analog signals from each sensor in the array. Statistical estimation is used to obtain a first approximation of the temperature. Successive approximation is then applied based on the estimate to reduce the voltage range until the desired accuracy is met. The process is repeated until the temperature measurement with a desired accuracy is obtained. III. SELFDIAGNOSIS The selfdiagnosis algorithm is a software controlled procedure to detect whether any of the sensors in the array is faulty, to isolate and deactivate any faulty sensors present and to pensate for the faulty sensors. The diagnosis assumes that the majority of the sensors in the array are in good order. A sensor is classified as faulty if its measurement is more than x℃ from the actual temperature .where x is a user defined value depending on the temperature sensor used and the accuracy required. In the prototype. In diagnosis, the same reference voltage is applied to the voltage parator for all the sensor outputs in a “read cycle’’. In principle, all the sensors are expected to produce the same digital outamp。由16位微處理器，每個(gè)傳感器輸出的傳感器陣列是與隨機(jī)選取的參考電壓進(jìn)行電壓比較，結(jié)果是一個(gè)二進(jìn)制的“ 1 ”或“0” 。導(dǎo)言傳統(tǒng)的傳感系統(tǒng)使用一個(gè)傳感器轉(zhuǎn)換測(cè)量成電信號(hào)。本文的發(fā)展，這種概念納入實(shí)際系統(tǒng)的溫度測(cè)量中。開關(guān)電路由一個(gè)解碼器和一個(gè)模擬多路控制軟件按順序選擇一個(gè)輸出。溫度測(cè)量要獲得的估計(jì)輸出溫度， 數(shù)學(xué)原則，逐次逼近和 統(tǒng)計(jì)估計(jì)方法。 基于Apriority 的特點(diǎn)，用溫度傳感器和溫度范圍來衡量電壓范圍 。輸出的比較值，是二進(jìn)制“ 1 ”或“0”。微控制器清點(diǎn)二進(jìn)制的“1”讀周期。那個(gè)新的電壓范圍內(nèi)再次逼近真是的電壓。 總體而言，該系統(tǒng)的工作原理是在每個(gè)傳感器陣列中模擬信號(hào)的數(shù)字化。自診斷自我診斷算法是一種程序來檢測(cè)是否有任何傳感器陣列故障的，孤立和停用任何故障傳感器本和為了彌補(bǔ)故障的傳感器。診斷同時(shí)參考電壓應(yīng)用于電壓比較所有的傳感器的“閱讀周期39。但有兩個(gè)例外：選擇的參考電壓，是非常接近相應(yīng)的電壓的實(shí)際溫度；如果傳感器出現(xiàn)故障，并帶來一個(gè)不準(zhǔn)確的輸出不同與那些大多數(shù)傳感器。在某溫度下，不斷選取參考電壓應(yīng)用于比較所有的傳感器陣列。這個(gè)計(jì)數(shù)器遞增，如果傳感器被認(rèn)為屬于少數(shù)的狀態(tài)。在整個(gè)電壓范圍已經(jīng)掃描過后，如果軟件對(duì)付任何傳感器增量的3倍以上，則該傳感器被認(rèn)為是故障的，從而停
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