Maximum Non Linearity Error
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Федерация 中国 (China) 日本 (Japan) 대한민국 (Korea) 台灣 (Taiwan) See All Countries Toggle navigation INNOVATIONER BUTIK SUPPORT ANVÄNDARGRUPPER Sverige Sensor Terminology Publish Date: sep 23, 2013 | 5 Ratings | 4,60 out of 5 | Print Overview This tutorial is part of the National Instruments Measurement Fundamentals series. linearity error calculation Each tutorial in this series, will teach you a specific topic of common measurement applications,
Nonlinearity Error Definition
by explaining the theory and giving practical examples. This tutorial will cover sensors and the terminology associated with them. For the complete list nonlinearity error formula of tutorials, return to the NI Measurement Fundamentals Main page. Table of Contents Sensitivity Range Precision Resolution Accuracy Offset Linearity Hysteresis Response Time Dynamic Linearity 1. Sensitivity The sensitivity of the sensor is defined as the slope what is linearity error of the output characteristic curve (DY/DX in Figure 1) or, more generally, the minimum input of physical parameter that will create a detectable output change. In some sensors, the sensitivity is defined as the input parameter change required to produce a standardized output change. In others, it is defined as an output voltage change for a given change in input parameter. For example, a typical blood pressure transducer may have a sensitivity rating of 10 mV/V/mm
Sensitivity Error
Hg; that is, there will be a 10-mV output voltage for each volt of excitation potential and each mm Hg of applied pressure. Sensitivity Error The sensitivity error (shown as a dotted curve in Figure 1) is a departure from the ideal slope of the characteristic curve. For example, the pressure transducer discussed above may have an actual sensitivity of 7.8 mV/V/mm Hg instead of 10 mV/V/mm Hg. Back to Top 2. Range The range of the sensor is the maximum and minimum values of applied parameter that can be measured. For example, a given pressure sensor may have a range of -400 to +400 mm Hg. Alternatively, the positive and negative ranges often are unequal. For example, a certain medical blood pressure transducer is specified to have a minimum (vacuum) limit of -50 mm Hg (Ymin in Figure 1) and a maximum (pressure) limit of +450 mm Hg (Ymax in Figure 1). This specification is common, incidentally, and is one reason doctors and nurses sometimes destroy blood pressure sensors when attempting to draw blood through an arterial line without being mindful of the position of the fluid stopcocks in the system. A small syringe can exert a tremendous vacuum on a closed system. Figure 1. Ideal curve and sensitivity error. Source: J.J. Carr, Sensors and Circuits Prentice Hall. Dynamic Range The dynamic range is t
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Linearity Calculation In Excel
Resources Free Engineering Unit Conversion Program Glossary of Transducer-Related Terms Instrument Calibration & Test Procedure Videos ATEX, Intrinsic Safety & Hazardous Area Information IP Ratings and http://www.ni.com/white-paper/14860/en/ Equivalent NEMA Ratings Reference Articles on Sensors and Transducers Engineering Notes on Pressure Measurement Links to Other Useful Websites Distributors Contact Us Quick Enquiry Form Name: Email Address or Phone No: Your Enquiry: >>You Are Here: Home > Technical Resources > Technical Notes on Pressure Sensing Linearity or nonlinearity? Linearity error is the http://www.appmeas.co.uk/technical-notes/linearity-or-nonlinearity.html deviation of the sensor output curve from a specified straight line over a desired pressure range. The linearity error value is normally specified as a percentage of the specified pressure range. If a sensor is only used over half the specified range and you are able to set the maximum value to be used then the linearity error is calculated from this value, which of course is going to provide improved accuracy over that specified by the manufacturer. There are two common ways of specifying the linearity error: BFSL BFSL stands for best fit straight line. The error is specified as the maximum deviation +/-x% of span of output value from the straight line. TBL TBL stands for terminal base linearity or end-point linearity. TBL is determined by drawing a straight line (L1) between the end data points on the output curve. The data point is chosen to achieve the maximum length of the perpendic
removed. (July 2008) (Learn how and when to remove this template message) Integral nonlinearity (acronym INL) is the maximum deviation between the ideal output of a https://en.wikipedia.org/wiki/Integral_nonlinearity DAC and the actual output level (after offset and gain errors have https://www.allsensors.com/engineering-resources/white-papers/linearity-measurements-pressure-sensors been removed). The term is often used as an important specification for measuring error in a digital-to-analog converter (DAC). The transfer function of a DAC should ideally be a line and the INL measurement depends on the ideal line selected. Two often used lines are the best linearity error fit line, which is the line that minimizes the INL result and the endpoint line which is a line that passes through the points on the transfer function corresponding to the lowest and highest input code. In all cases, the INL is the maximum distance between the ideal line selected and the actual transfer function. Formula[edit] For the line through maximum non linearity the endpoints, the INL of a DAC is I N L = max 0 ≤ c ≤ c max | V o u t [ c ] − V o u t [ 0 ] − c ⋅ m | {\displaystyle \mathrm {INL} =\max _{0\leq c\leq c_{\max }}\left|V_{\mathrm {out} }[c]-V_{\mathrm {out} }[0]-c\cdot m\right|} where m = V o u t [ c max ] − V o u t [ 0 ] c max {\displaystyle m={\frac {V_{\mathrm {out} }[c_{\max }]-V_{\mathrm {out} }[0]}{c_{\max }}}} is the slope of the line through the end points, and V o u t [ c ] {\displaystyle V_{\mathrm {out} }[c]} is the output voltage at code c. This assumes that the minimum code is 0. This INL is measured in volts; one can divide it by the ideal LSB voltage to get the measurement in LSBs.. See also[edit] Differential nonlinearity External links[edit] INL/DNL Measurements for High-Speed Analog-to-Digital Converters (ADCs) Application Note 283 by Maxim This electronics-related article is a stub. You can help Wikipedia by expanding it. v t e Retrieved from "ht
Sample Request Request More Information Engineering Resources Definition of TermsWhite PapersPressure Point #1 Pressure Measurement Types Pressure Point #2 Understanding Accuracy and PrecisionPressure Point #3 Linearity Measurements for MEMS Pressure SensorsPressure Point #4 Dual Die Compensation for MEMS Pressure SensorsPressure Point #5 Special Considerations for Mounting and Handling Pressure SensorsPressure Point #6: Position Sensitivity in Pressure SensorsPressure Point #7: Understanding Common-Mode Differential PressurePressure Point #8: Bandwidth vs. Signal to Noise TradeoffPressure Point #9: Pressure Sensor TechnologiesPressure Point #10: Media CapabilityPressure Point #11: Calculating Flow Rate from Pressure MeasurementsWarm Up DriftDesign ConsiderationsTechnical DiscussionsEvaluation KitConversion TablesSensor HistoryProduct Catalogs PDFTechnical AssistanceJoin Our NewsletterSample Request Pressure Point #3: Linearity Measurements for MEMS Pressure Sensors Download as PDF All Sensors Pressure Points are application tips to simplify designing with microelectromechanical (MEMS) pressure sensors and avoiding common pitfalls. Pressure Point 3: Linearity Measurements for MEMS Pressure Sensors Pressure non-linearity is one of the parameters that impacts sensor accuracy. (For other factors, refer to All Sensors Pressure Point 2: Understanding Accuracy and Precision for MEMS Pressure Sensors.) As such, users need to understand some of the nuances involved with measuring and specifying linearity. Design Impact for MEMS Pressure Sensors Factors that impact piezoresistive pressure sensor linearity are the topology and placement of the piezoresistive elements, diaphragm thickness, and construction elements. Generally, temperature has little effect on linearity except in highly sensitive applications. As a result, sensor manufacturers only test for linearity at ambient temperature. The main linearity issue is how the results are computed and reported. The following identifies common test methods and specification techniques for determining the linearity of MEMS pressure sensors and other sensors, as well as a lesser known linearity situation that specifically impacts MEMS pressure sensors. End-Point Method The most straightforward nonlinearity specification is the end-point method. As shown in Figure 1, it starts with the line from the output at zero pressure and extends to the output at rated pressure. The nonlinea