First Steps
- Using a separate measurement device such as a DMM (Digital Multimeter) or Oscilloscope, verify that the signal is behaving as expected at the input terminals of the DAQ device. Also be sure the Oscilloscope is properly calibrated by checking whether the probe and other components are properly set up.
- This isolates the DAQ device as the error and ensures that the input signal is not being corrupted at some other point in the system.
- Calibrate the device.
- Offsets and measurement noise may also be caused by an analog to digital (A/D) converter that needs re-calibration. NI data acquisition hardware can be calibrated manually by running a self-calibration in NI-MAX, although this is not effective in all cases and the device may need to be sent to NI or a third-party lab for re-calibration.
- See Device Calibration for more information.
Troubleshooting Offset Readings
Offset errors can be caused by incorrect DAQ hardware settings, uncalibrated hardware, or unexpected DC leakage through the hardware. Follow the steps below to resolve each of these causes:
- If the DAQ hardware comprises of jumpers, ensure that the jumper settings specified in software (i.e. in Measurement & Automation Explorer (MAX) or NI-DAQ Configuration Utility, depending on your NI-DAQmx driver version) match the actual hardware jumper settings.
- This will affect how LabVIEW converts measurements. For specific information about device jumpers, refer to the device’s user manual.
- Calibrate the device by following Performing DAQmx Channel Calibration in MAX Using Wizard.
- If using the device in LabVIEW, configure a Custom Scale to correct the DC offset. Refer to Create an NI-DAQmx Custom Scale Programmatically in LabVIEW for guidance.
Troubleshooting Incorrect and Noisy Readings
Noisy readings can be caused by incorrect wiring, environmental noise or insufficient sampling rates. Follow the points below to resolve each of these causes:
- Use shielded cables instead of ribbon cables in noisy environments, or when measuring mV signals in the absence of signal conditioning.
- Ensure that the signal is using the correct analog input mode (DIFF, RSE, or SE).
- Environmental noise may cause bad readings, especially if there are long wires (over 15 feet) between the transducers and DAQ board (or SCXI module). See Field Wiring and Noise Considerations for Analog Signals for more information.
- Sample at at least 10 times the signal’s frequency, if possible.
- Bad readings are often caused by aliasing, which is in turn is caused by a sampling rate that is too slow. See Aliasing for more information.
- Note: it may be necessary to sample at even higher rates.
- If the device has user-programmable input ranges, verify that the selected input range minimizes noise and optimizes accuracy for your signal range.
- Find this information in the device’s specifications sheet.
- Connect 50ohm termination to the input channel and acquire the noise floor data (background noise).
- It’s recommended to save these data as TDMS for spectrum processing or send it to NI technical support for troubleshooting purposes.
Returns and External Calibration
- If all other troubleshooting tips have been exhausted and the problem is still present, then the device may need to be sent to NI for testing and re-calibration.
- NI’s data acquisition products are shipped with a document that guarantees operation within the stated specifications for a certain period of time (typically one year); known as the calibration interval.
- If the hardware has been owned for longer than its calibration interval, then it may be inaccurate. However, before returning hardware, first contact NI Technical Support to help with troubleshooting efforts. See National Instruments Hardware Repair or Calibration for more information.
Additional Information
If using a C Series module, check the NI Calculating Absolute Accuracy or System Accuracy to confirm that the data acquisition hardware is up to the task that has been set.
My question is related to my previous question:Accuracy of a data acquisition hardware
In a data acquisition system absolute accuracy is defined as measure of all error sources as following:
Abs. accuracy = error from Gain(Span error) + error from Offset + (error from Noise + Quantization)
Here in the following data sheet at page 30 and 31:
http://www.mccdaq.com/pdfs/manuals/PCI-DAS6034-35-36.pdf
«absoulte accuracy» is defined.
My question is about interpreting these parameters.
Lets say I take five samples by applying precisely known 5V reference voltages to a channel as:
I apply 5V and daq-board reads 5.004V
I apply 5V and daq-board reads 5.002V
I apply 5V and daq-board reads 5.001V
I apply 5V and daq-board reads 5.003V
I apply 5V and daq-board reads 5.002V
Now the readings above are different than the 5V true value applied.
So the readings above includes gain error + offset error + noise error
Noise error is statistical in nature and wont effect the mean value but the disperse.
As far as I understand, What effects the mean value here is the «gain error» and the «offset error» (systematic errors).
My question is: Are the gain and offset errors in the data-sheet fixed values or are they maximum values and also statistical or indicate a range?
For example, if data sheet says offset error is x, and my mean reading is A; should then I correct my reading as A-x ? or x is not constant?
I’m asking because if lets say offset error is fixed and knwon for all measurements why don’t they compensate it before sending the data to sthe erial port instead of documenting?
Or if it is not fixed should I measure offset before each measurement?
Continued from Part 1 of High Resolution Does Not Guarantee High Accuracy in Data Acquisition Systems
Input Offest Errors: Assuming all other errors are zero, input offset is a constant difference between the measured input and the actual input voltage. For example, if the input offset voltage was +0.1 volt, measurements of perfect 1, 2 and 5-volt input signals would provide readings of 1.1, 2.1 and 5.1 volts, respectively. 
In reality, the other errors are never zero, which complicates the measurement of input offset. Most system data sheets spec analog input as the input offset error at 0 volts. More advanced DAQ products, such as the DNA-AI-207, provide an “auto zeroing” capability. This function effectively drives the input offset error to zero or a level low enough that its contribution is no longer significant relative to other errors or signal of interest.
Gain Error: Lets illustrate this error by, again, assuming all other errors are zero. Gain error is the difference in the slope (in volts per bit) between the actual system and an “ideal” system. For example, if the maximum gain error is 1%, the gain error at 1 volt would be 10 millivolts, while the error at 10 volts would be ten times as large at 100 mV.
Gain error is defined as the error of the measurement as a percentage of the full scale reading. Using our 0 to 10 volt example range, if the error at 10 V is 1 mV, the gain error specified would be 100 x (0.001 / 10) or 0.01%. For higher precision measurement systems, the gain error is often specified in parts per million (ppm) rather than percent since it’s a bit easier to comprehend. To calculate the error in parts per million, just multiply the input error divided by the input range by one million. A 0.01% error would be equivalent to 1,000,000 x .001 / 10 or 100 ppm. 
Though many products offer auto-calibration to reduce the gain error, it is not possible to eliminate it completely. The automated gain calibration is almost always performed relative to an internally supplied reference voltage, which tends to drift over time and any error in the reference will translate into a gain error. It is possible to create references with arbitrarily small errors. However, as the gain error gets small relative to other system errors, it becomes economically unfeasible to improve the reference accuracy. In addition to the cost penalty involved in providing the “pseudo perfect” reference, one of the errors, if not the largest, in most references is drift over temperature. The only way to eliminate this drift is to maintain the reference temperature at a constant level. This is not only expensive, but it also requires a significant amount of power, which increases overall system power consumption.
Need help deciphering this, contact the data acquisition experts at UEI.
UEIDAQ.com | Facebook | LinkedIn | Youtube | Twitter
Hello everyone, I use a NI SMU 6361 DAQ in LabView 2013 (32 bit) to acquire samples from six sensors (currently). The signal is a bit noisy, but behave correctly after filter software by averaging, so I dug a little and found the code shown by NOR in this video:
So far, it has worked great, the loop basically takes anything to run and gives me a signal clean and Nice, but when VI starts first of all, I get the error code mentioned in the title, by saying that I am referencing a non-existent sample, since it is before the first (example 0). He has absolutely zero effect in the real VI, since if I hit continue, it works fine, but as it is for end-user oriented, I don’t think they like to see a mistake every time you start up then, did somebody encountered this problem? And if so, how do solve you? Any ideas to spend at least the error message? So far I have tried:
EDIT: Please ignore the loop for now, it has been used just to show if the data has been formatted correctly and will be used for filtering software, but has no effect on the error.
I’ll take a shot at your comments:
-When I run with a simple/general error handler outside the while loop, it reports no errors
-When the error handler is inside the loop (after the reading) it sends the error message, but doesn’t give the option to continue
-When I run all at once, with a real constant for the stop condition, it reports the error of loop
-When I run on the execution of highlight mode, it does not report the error once again
All relate to the thrust of the error that you can not collect samples which are periods of sampling of 2000 in the past until the task is run at least 2000 sampling periods to capture.
1. the error in the loop tunnel is only retains the last value of the error. Probably, the loop runs several times where the error is generated, but never seen. Once spent enough time to get samples of 2000 in the buffer of data acq, subsequent executions no longer produce an error. If you stop the loop after this date, the most recent error value is indeed «no error».
2. Yes, you see the error that happened on the iteration 1. The time required to respond to the dialog box is quite probably a long time you * only * see the error on the iteration 1.
3 Yes, as described above.
4. the code runs pretty slowly for the start time of the task until you come finally to the first Read DAQmx is longer than the 2000 sampling periods. Once again, Yes.
Couple of several things:
-Bob comments are super useful and important to keep. Auto error handling behavior are a real subtlety in LabVIEW, not at all intuitively obvious because almost any other terminal output can remain unwired without consequence.
-J’ threw together a quick example, mess of my notice to loop before calling with offset = 0. The following works fine without error on my end, using a desktop computer X — card in the series similar to yours. I ran 4 channels at 100 kHz, and then again at 1 kHz without error. The case of 1 kHz took the second planned couple to run to completion and the first Offset = 0 reading has done its job. You can save the pic (save in png format) and then drag the file on an empty LabVIEW diagram to get the instant code. Adjust the device, channels, sampling according to your needs and tell me what you get.
-Be sure wiring in the ‘NB of samples’ entry on the call of DAQmx Read! When I removed this thread in the example below, I saw your error also. You must connect this number of 2000.
-Kevin P
Tags: NI Software
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Эта ошибка возникает, когда вы пытаетесь использовать функцию lm() для подбора модели линейной регрессии в R, но предиктор или переменная ответа содержат значения NaN или Inf .
В следующем примере показано, как исправить эту ошибку на практике.
Как воспроизвести ошибку
Предположим, у нас есть следующий фрейм данных в R, который содержит информацию о сыгранных минутах и очках, набранных различными баскетболистами:
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df <- data.frame(minutes=c(4, NA, 28, 12, 30, 21, 14),
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df
minutes points
1 4 12
2 NA NaN
3 28 30
4 12 Inf
5 30 43
6 21 25
7 14 17
Обратите внимание, что фрейм данных содержит некоторые значения NaN и Inf .
Теперь предположим, что мы пытаемся подобрать модель линейной регрессии, используя «минуты» в качестве переменной-предиктора и «точки» в качестве переменной отклика:
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lm(points ~ minutes, data=df)
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) :
NA/NaN/Inf in 'y'
Мы получаем ошибку, потому что во фрейме данных присутствуют значения NaN и Inf .
Как исправить ошибку
Стоит отметить, что значения NA во фрейме данных не являются проблемой. Фактически, R просто игнорирует значения NA при подборе модели линейной регрессии.
Настоящая проблема вызвана значениями NaN и Inf .
Самый простой способ решить эту проблему — заменить значения NaN и Inf значениями NA :
#Replace NaN & Inf with NA
df[is.na(df) | df==" Inf "] = NA
#view updated data frame
df
minutes points
1 4 12
2 NA NA
3 28 30
4 12 NA
5 30 43
6 21 25
7 14 17
Теперь мы можем подогнать регрессионную модель:
#fit regression model
lm(points ~ minutes, data=df)
Call:
lm(formula = points ~ minutes, data = df)
Coefficients:
(Intercept) minutes
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Выходные данные показывают коэффициенты регрессионной модели.
Обратите внимание, что мы не получаем никаких ошибок, так как мы заменили значения NaN и Inf во фрейме данных.
Дополнительные ресурсы
В следующих руководствах объясняется, как исправить другие распространенные ошибки в R:
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Как исправить в R: неверная формула модели в ExtractVars
Как исправить в R: аргумент не является числовым или логическим: возвращается na
Я буду разрабатывать и внедрять базу данных для сбора данных и начинаю задаваться вопросом, какая может быть лучшая структура реляционной базы данных для многопараметрического решения. Могут быть д…
Я работаю над проектом, где хочу выполнить сбор данных, обработку данных и визуализацию GUI (используя pyqt с pyqtgraph) на Python. Каждая из частей в принципе реализована, но разные части не очень…
2 недели назад
erik
что подразумевается под действием разрешения и точности инструмента и как они вычисляются
Я создаю систему для сбора данных. Приобретенные данные обычно состоят из 15 сигналов, каждый из которых отсчитывается, например, на 500 Гц. То есть, каждая вторая приблизительно 15 x 500 x 4 байта…
Я хочу получить изображения из живого видео, которое транслируется через гибридное устройство volvhd с интерфейсом Avertv (адаптер для телевизора и ПК). Устройство идентифицируется как «Видеоконтро…
Обычно я могу быстро найти ответы на мои дилеммы на этом сайте, но, возможно, эта проблема требует более конкретного касания; У меня есть 50-миллионная строка юникода, которую я загружаю с осциллог…
В MATLAB я закодировал алгоритм стохастического моделирования (Gillespie) для простого процесса рождения и смерти и получил график, используя hold on в цикле for . У меня есть 100 значений PStoch д…
Я буду разрабатывать систему, которая будет включать сервер сбора данных, где каждое приобретение будет заполнять строку. Я также должен иметь возможность информировать пользовательское приложение …
У меня вопрос о выходе файла в Python. Я разрабатывал программное обеспечение, которое считывает значения из 3 датчиков. Каждый датчик считывает 100 значений в течение 1 секунды, и между каждым про…
В начале этого года я кодирую Java GUI для работы в среде Matlab для целей получения изображений. Я смог вызвать Java_Gui.jar внутри matlab, а также использовать некоторые из классов из файла.jar. …
так как это мой первый вопрос, я хотел сказать, что StackOverflow помог мне бесчисленное количество раз. Спасибо. Теперь к моей проблеме. В настоящее время я пытаюсь реализовать простое приложение …
Я пытаюсь найти достойное решение Image Acquisition + Image Processing по выгодной цене. Я просмотрел такие имена, как Kodak, Global360, Iris. Что я нашел со всеми этими продавцами, так это то, что…
Я собираю данные с помощью Data Acquisition Toolbox. Данные собираются в фоновом режиме. Я собираю данные из 8 термопар и могу позвонить своему слушателю, чтобы постоянно обновлять свой сюжет. Одна…
Я пытаюсь записать видео в OpenCV в Python на Ubuntu 16.4. Я использую камеру Logitec 920. Моя проблема в том, что когда я меняю освещение в комнате (от белого до красного) или меняю частоту кадров…
Я хочу сделать биометрическую систему идентификации ЭКГ/ЭКГ. При условии, что Matlab не выполняет сбор данных в режиме реального времени (для мониторинга), есть ли способ выполнить мониторинг и сбо…
Я запускаю одновременный сбор данных и аппаратное управление. Сбор данных осуществляется с помощью устройства NI-DAQmx. Аппаратный контроль уже написан на С#.NET, и мы хотели бы синхронизировать на…
Краткое описание: Это большой и старый программный проект с использованием кода С# UI и некоторого базового кода C++. Этот вопрос относится к коду C++. C++ отвечает за создание эффекта «эффективног…
Я потратил немало времени на чтение продуктов National Instruments и их возможностей при использовании с LabVIEW . Тем не менее, LabVIEW и аппаратные средства National Instruments — это почти единс…
2 года назад
NSL
Я только недавно начал использовать MATLAB для получения данных с платы сбора данных и нуждался в функции для непрерывного получения данных (т.е. до тех пор, пока я не выберу Ctrl ^ C из функции). …
Мы (я и мой коллега) получили устройство, которое каждую секунду посылает нам каждую секунду большое количество дискретных целочисленных данных (интенсивности), которые имеют тенденцию иметь гауссо…
2 года, 10 месяцев назад
Michal
Я собираюсь создать небольшую систему сбора данных, которая собирает данные с Geosig Ve-53 с использованием KPCI-3101 в качестве физического интерфейса; и python создать приложение, которое записыв…
У меня есть webapp для приема данных с устройств, и у меня есть требования от моего клиента с последующим specs-, что Data Acquisition Layer должен работать с механизмом доставки на основе открытог…
2 года, 10 месяцев назад
Rawat
Я использую sdk 2, sample face basic (программирование на С#). Я хотел бы вставить точку останова или поток только предопределенное число кадров или использовать предварительный контур в качестве и…
2 года, 10 месяцев назад
Skipper
В Matlab 2014b, 2014a, 2013b, 2013a (не используя simulink) Windows7 64-разрядная панель сбора данных на основе сеанса Использование NI-DAQmx 14.1 и NI-DAQmx 14.0 У меня есть карта PCI, которая неп…
У меня будет 4 аппаратных блока сбора данных, подключенных к одному ПК управления через проводную локальную сеть Ethernet. Кодирование этого приложения будет находиться на ПК и полностью основано н…
(Извините, я не смог опубликовать фотографию, так как мой уровень репутации ниже 10) Я хотел бы сделать это, я хочу, чтобы мое лазерное смещение daq начало получать данные через одну секунду после …
2 года, 11 месяцев назад
Biswas
Я пытаюсь создать самую легкую из NeuralNetwork и обучать ее некоторыми данными: поэтому я создал test.csv со следующим шаблоном: номер, номер + 1; число2, номер2 + 1 … Я пытаюсь сделать линейную…
Я просто написал простой С#, чтобы получить eventcallback от PCI-7250 (Data Acquisition Card), когда любой из цифровых входов идет высоко. Вот мой код: public delegate void ReadDelegate(uint value)…
У меня есть блок сбора данных (USB-2408 от Measurement Computing), и я пытаюсь написать код Python, чтобы отображать эти данные как можно ближе к реальному времени, но, очевидно, это ограничено, по…
2 года, 11 месяцев назад
Sflemdog
Я работаю с этим ADC: AD7903 — http://www.analog.com/media/en/technical-documentation/data-sheets/AD7903.pdf Я не понимаю ограничения времени сбора в связи с максимальной тактовой частотой, возможн…
В настоящее время я ищу средство для одновременной записи видео и данных IMU (ускорения, углы Эйлера и т.д.) Под iOS. Я нашел, что некоторые приложения хорошо работают, но ни один из них не позволя…
Я запускаю гостевую систему Windows 7 с хостом Ubuntu 14, используя VirtualBox, и столкнулся с проблемой даже самых простых примеров, представленных National Instruments, с использованием API ANSI …
8 лет, 5 месяцев назад
RazvanC
Я пытаюсь контролировать Keithley 2410 через python на Linux-машине x86_64 (CentOS 7). Я использую python 2.7.5, NI-VISA 16 и PyVISA 1.8. Keithley подключен к компьютеру через кабель RS232-USB, и о…
Я новичок в микроконтроллерах stm32. Я прочитал в техническом паспорте STM32F103, что у него есть 3 АЦП-преобразователя, способных выполнять до 1 Мпс каждый. Можно ли использовать эти 3 преобразова…
Я получаю события (события) DataMissed в matlab при получении данных формы волны (2 канала) и триггера аналогового входа (настроен в режиме предварительного трейлера — отрицательное значение задерж…
11 лет, 6 месяцев назад
Ben
Я пытаюсь найти лучшую графическую библиотеку для моего приложения для Android, которое получает данные на основе данных с устройства сбора данных (поддерживает до 800 выборок в секунду). Мне нужно…
Нам необходимо разработать высокоскоростную службу WCF на основе REST, которая будет использоваться для обновления данных 2000 точек данных, причем каждая точка данных меняется на 25 мс. Возможно л…
9 лет, 5 месяцев назад
DLRS
Я пытаюсь записать данные, собранные из системы сбора данных, в места в памяти, а затем асинхронно выполнять дальнейшую обработку данных или записывать их в файл для автономной обработки. Я пытаюсь…
Я работаю над балансировкой воздушного шпинделя. Для анализа дисбаланса я использую акселерометр (устройство NI). У меня есть сигнал напряжения от акселерометра, соответствующий вибрации шпинделя н…
Я написал программу/сценарий сбора данных, которая работает с устройством, разработанным нашим сотрудничеством. Проблема в том, что я могу читать только с этого устройства. Запись невозможна, поэто…