Neutral guides to test and measurement, data acquisition, sensors and industrial automation.
Independent, vendor-neutral guides to test and measurement, data acquisition, sensors, embedded systems and industrial automation for engineers.
Structured reference guides for instrumentation, data acquisition, and automated testing.
Instruments, measurement methods and how to choose test equipment.
Browse topics →Sensors, signal conditioning and data acquisition explained.
Browse topics →Industrial automation and embedded control for test systems and machines.
Browse topics →Recently updated tutorials, measurement procedures, and system designs.
Sensors and DAQUnder ASTM E251-20a Clause 1.3.2, strain gage accuracy can be no better than gage factor accuracy, while Clause 1.3.5 thermal output is an additive error that can dominate structural strain.
Sensors and DAQLoad cells resolve applied load using only rated output in mV/V, excitation voltage, and rated capacity without needing internal bridge Gauge Factor.
Sensors and DAQChoose a strain gage indicator or DAQ by working through local readout, recording, channel timing and bridge compatibility. Use the selection checklist.
Sensors and DAQCalculate gauge-factor scaling from calibration on Poisson ratio 0.285, instrument and temperature rescaling, and transverse sensitivity corrections.
Sensors and DAQCompare dynamic versus static strain gauge measurement across monotonic microstrain range, cyclic S-N fatigue life, thermal output zero drift, and excitation limits.
Sensors and DAQPartition an automated test bench across a precision DMM, digital oscilloscope, and modular DAQ using IEEE 1241 ENOB, NPLC power-line rejection, CAT II isolation, and sensor bandwidth.
Maximizing Value at NI is an independently operated information site about test and measurement. It offers vendor-neutral explainers on data acquisition, sensors, embedded systems and industrial automation for engineers choosing and using test equipment.