Non Linearity Error Calculation
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Non Linearity Calculation
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Linearity Error Definition
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 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 nonlinearity error definition 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 perpendicular line. As the shape of the output curve is repeatable, it is possible to linearise the output using external electronics, such as compensation circuits or a microprocessor. Normally the linearity error is the least significant of all the errors in any given pressure sensor: commonly in the region of 0.1 to 0.2 or better. This very much dep
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Федерация 中国 (China) 日本 (Japan) 대한민국 (Korea) 台灣 (Taiwan) See All Countries Toggle navigation INNOVATIONEN PRODUKTE SUPPORT COMMUNITY Deutschland Sensor Terminology Publish Date: Sep 23, 2013 | 5 Bewertung(en) | 4,60 von 5 | Print Overview This tutorial is part of the National Instruments Measurement http://www.ni.com/white-paper/14860/en/ Fundamentals series. Each tutorial in this series, will teach you a specific topic of common measurement applications, by explaining the theory and giving practical examples. This tutorial will cover sensors and the terminology associated with them. For the complete list 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 linearity error defined as the slope 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 how to calculate have a sensitivity rating of 10 mV/V/mm 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