Linearity Error
Compute the linearity error (non-linearity) of an instrument, LE = (maximum deviation/span)·100%, the largest departure of the actual curve from the ideal straight line, expressed as a percentage of span. It measures how much the instrument's response deviates from a straight line — the smaller, the more 'linear' and predictable the reading. It is one of the components of specified accuracy. Enter the maximum deviation and the instrument span.
Resultado
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Erro de linearidade
Idealmente, a saída de um instrumento cresce em linha reta com a entrada: dobrar a temperatura dobra o sinal. Na prática, a curva real serpenteia em torno dessa reta ideal. O erro de linearidade (não-linearidade) captura o pior caso: EL = (desvio máximo/span)·100%, o maior afastamento entre a curva real e a reta, em % do span. Quanto menor, mais previsível e fácil de calibrar é o instrumento — basta ajustar zero e span, sem tabelas de correção. A linearidade é um dos componentes que, somados à histerese e à repetibilidade, compõem a exatidão total especificada na folha de dados. Informe o desvio máximo e o span.
Related Tools
Accuracy as % of Full Scale
Convert an accuracy specification given as a percentage of full scale (% FS) into the absolute error in engineering units, Error = (accuracy% · span)/100. Since the %FS error is constant across the range, it represents a larger relative error at low readings — so it is important to translate it into real units. Enter the accuracy percentage and the instrument span.
Instrument Hysteresis
Compute an instrument's hysteresis, H = (maximum up-down difference/span)·100%, the largest difference between the readings obtained for the same input value when it is reached increasingly and then decreasingly. It reveals 'memory' or mechanical slack in the sensor: ideally zero, but present in springs, gears and magnetic materials. Expressed as a percentage of span. Enter the hysteresis difference and the span.
Mann-Kendall Trend Test
Computes the Mann-Kendall test, used to detect a monotonic trend (upward or downward) in a time series without assuming the data are normal or the trend is linear. It sums the signs of all pairwise comparisons between values: if the series tends to rise over time, positive signs prevail. It's widely used in hydrology, climatology and environmental science to assess trends in long series. The S statistic becomes a z via the normal approximation, with a tie correction. Enter the series in chronological order.
The results provided by this tool are for general informational and educational purposes only and do not constitute professional, financial, medical, legal, tax or accounting advice. Always confirm important decisions with a qualified professional and official sources.