MODULE 1 — Measurement Fundamentals

1.1 Accuracy, Precision & Error Types

Errors

Abs: $$ \delta A = A_{measured} - A_{true} $$
Rel: $$ \epsilon_r = \frac{\delta A}{A_{true}} \times 100\% $$

Accuracy & Precision

$$ \text{Acc} = 1 - \left|\frac{A_{m} - A_{t}}{A_{t}}\right| $$
$$ P = 1 - \frac{|x_n - \bar{x}|}{x_{max} - x_{min}} $$

Resolution

$$ \text{Res} = \frac{\text{FS}}{2^n} $$
$$ S = \frac{\Delta\theta}{\Delta Q} $$

1.2 Random Errors & Statistics

$$ \sigma = \sqrt{\frac{\sum(x_i - \bar{x})^2}{n-1}} $$
$$ \text{Probable Error} = 0.6745\sigma $$

Error Propagation

$$ \delta(A \pm B) = \delta A + \delta B $$
$$ \frac{\delta(AB)}{AB} = \frac{\delta A}{A} + \frac{\delta B}{B} $$

1.3 Calibration & Characteristics

$$ \text{Hysteresis} = \frac{O_{up} - O_{down}}{O_{FS}} \times 100\% $$
$$ \text{Dead Zone} = \text{Smallest input } (\Delta I) \text{ causing output} $$

Dynamic Response (2nd Order)

$$ \tau = \frac{1}{\omega_n \sqrt{1-\zeta^2}} $$
$$ \text{Rise Time} = \frac{1.8}{\omega_n} $$

1.4 Methods of Measurement

Direct Method

$$ \text{Unknown quantity directly compared against a standard} $$
$$ \text{Inaccurate — Examples: Ruler, Ammeter reading} $$

Indirect Method

$$ \text{Unknown quantity computed from measured related quantities} $$
$$ P = V \times I \quad \text{(measure V, I separately)} $$
$$ \text{Accurate, More Sensitive, Preferred} $$

1.5 Classification of Instruments

(i) Absolute vs Secondary

$$ \text{Absolute: value from constants (no calibration)} $$
$$ \text{Secondary: must be calibrated} $$

(ii) Deflection vs Null

$$ \text{Deflection: fast, less accurate} $$
$$ \text{Null: slow, high accuracy \& sensitivity} $$

(iii) Recording vs Integrating

$$ W = \int_0^T P\,dt = \int_0^T VI\cos\phi\,dt \;\text{(kWh)} $$

1.6 Static Characteristics of Instruments

1. Accuracy

$$ \%\text{Acc} = \left(1 - \frac{|A_m - A_t|}{A_t}\right) \times 100 $$

2. Precision

$$ \text{Closeness of measurements to each other} $$
$$ \text{Precise} \neq \text{Accurate} $$

3. Sensitivity

$$ S = \frac{\Delta V_o}{\Delta V_i} = \frac{1}{I_{FSD}} \;\Omega/\text{V} $$

4. Repeatability

$$ \text{Short-term consistency (same observer)} $$

5. Dead Time / Zone

$$ t_{dead} = \text{delay before response} $$
$$ \Delta x_{dead} = \text{input with no output} $$

6. Linearity

$$ y = kx \quad \text{(ideal)} $$
$$ e_{lin} = \frac{|y_{act} - y_{ideal}|}{y_{FS}} \times 100\% $$

7. Resolution

$$ R = \frac{\text{FSD}}{n} $$

8. Drift

$$ \text{Zero drift | Sensitivity drift | Span drift} $$

1.7 Errors in Measurement & Analysis

Static Error

$$ \delta A = A_m - A_t $$
$$ |\delta A| = |A_m - A_t| \;\text{(Absolute)} $$
$$ \epsilon_r = \frac{\delta A}{A_t} \;\text{(Relative)} $$
$$ \%\text{Error} = \frac{A_m - A_t}{A_t} \times 100 $$

% Accuracy

$$ \%\text{Acc} = (1 - |\epsilon_r|) \times 100 $$
$$ \%\text{Error}_{class} = \frac{\text{Limiting error}}{\text{FSD}} \times 100 $$

Error Types

$$ \text{Gross: Human blunders} $$
$$ \text{Systematic: Pattern (+ve or -ve)} $$
$$ \text{Random: Gaussian distributed} $$
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1.8 Limiting Error & Static Correction

Relative Limiting Error

$$ \epsilon_r = \frac{A_m - A_t}{A_t} \times 100\% $$

Static Correction

$$ \boxed{\delta C = A_t - A_m = -\delta A} $$
$$ A_t = A_m + \delta C $$

Non-Linearity Error

$$ \%NL = \frac{\text{Max deviation from ideal line}}{\text{Desired Value}} \times 100 $$

1.9 Combination of Errors

Sum / Difference

$$ \delta X = \pm(\delta X_1 + \delta X_2 + \cdots) $$

Product / Quotient

$$ \frac{\delta x}{x} = \pm\left(\frac{\delta x_1}{x_1} + \frac{\delta x_2}{x_2}\right) $$

Composite (Power)

$$ x = x_1^a \cdot x_2^b \Rightarrow \epsilon_x = a\epsilon_1 + b\epsilon_2 $$
$$ P = \frac{V^2}{R} \Rightarrow \frac{\delta P}{P} = 2\frac{\delta V}{V} + \frac{\delta R}{R} $$

1.10 Arithmetic Mean & Deviation Analysis

Mean & Deviation

$$ \bar{X} = \frac{\sum X_i}{n} $$
$$ d_i = X_i - \bar{X} \quad;\quad \bar{D} = \frac{\sum|d_i|}{n} $$

Std Dev & Variance

$$ \sigma = \sqrt{\frac{\sum d_i^2}{n-1}} \;\text{(n<20)} $$
$$ V = \sigma^2 $$

Probable & Std Error

$$ r = 0.6745\,\sigma $$
$$ S_{\bar{X}} = \frac{\sigma}{\sqrt{n}} $$

Confidence Intervals

$$ \pm\sigma \rightarrow 68.27\% $$
$$ \pm 2\sigma \rightarrow 95.45\% $$
$$ \pm 3\sigma \rightarrow 99.73\% $$

1.11 Error Types & Analog Instruments

Gross Errors

$$ \text{Human mistakes — cannot treat mathematically} $$
$$ \text{Parallax, wrong reading, wrong setting} $$

Systematic Errors

$$ \text{Instrumental | Environmental | Observational} $$
$$ \delta R = R_0 \alpha \Delta T $$

Random Errors

$$ \text{Follow Gaussian distribution} $$
$$ \text{Error reduces as } \frac{1}{\sqrt{n}} $$

Analog Instrument Types

$$ \text{Indicating | Recording | Integrating | Null} $$
$$ W = \int_0^T VI\cos\phi\,dt \;\text{(energy meter)} $$