Data Processor Functions must be referenced correctly for this Data Processor to work:
Directory of Meta File:
Meta data ID of experimental run
(look in Excel meta file for description of each experiment)
First state in the increment cycle
for datalog
0 is statelog
1 is datalog
2 is headers from statelog
3 is headers from datalog
smooth is the number of data points to average to smooth the data
xyz col are the columns in the data log file that you want to plot
These values are specific to the experimental apparatus used.
This function calculates the G values corresponding to the flow rate of the plant.
smooth is the number of data points to average to smooth the data
xyz col are the columns in the data log file that you want to plot
Distance btwn valve and measurement zone in FReTA
Extracting time and effluent turbidity
Time is contained in the 1st sheet
The last row is excluded because column lengths are often uneven
Velocity = d/t
The last row is excluded because column lengths are often uneven
Effluent turbidity is the 3rd sheet
Settling Curve Plot
Sedimentation Velocity Plot
Note: Calculations are performed with units of meters per day. To change the units, the user must
Convergence tolerance is
increased to 0.5
calculate the lower bound exponent for vlog
calculate the upper bound exponent for vlog
calculate the magnitude of the increment for vlog
A column of exponent values for velocity that will be used as values of the independent variable to calculate and plot the CDFs and
Calculate velocity (m/d) from time (s) and log the answer
Median smoothing and normalization
time = vector of time measurements
dataset = matrix of raw turbidity
Taking the log of velocity (m/d) but kept unitless
times = vector of time measurements
Δh = displacement (usually 0.16 m)
logbase = use log base 10
Obtain guess values for α,β,γ by estimating the mean and variance and residual turbidity
time = vector of time measurement
dataset = matrix of normalized turbidity
The modified gamma CDF functions where α is α and B is actually 1/β
α, β, and γ are generated by the genfit function
Vs = independent variable x, use vlog
Performs the curve fit with the modifed gamma CDF and returns the fitted α,β, and γ values along with the CDF curve based on vlog as the x value
turbidity = matrix of normalized turbidity
velocity = vector of Vs converted from time measurements
vlog = independent variable x, use vlog
time = vector of time measurements
Taking the derivative of the CDF to get the PDF
derivative is taken against velocity in units of vlog
vlog = independent variable x, use vlog
cdf = y values for the fitted gamma CDF
Calculating the mean log(Vs)
alphabeta = matrix of fitted α and
β values from getfits
Calculating the variance of log(Vs)
alphabeta = matrix of fitted α and
β values from genfit
mean = vector of mean Vs for the
different increment cycles
Normalized Turbidity vs Time
Normalized Turbidity vs. Vs
Fitted gamma CDFs
gamma PDFs
Change the value for "i" to see how curves fit the actual data
G values
mean Vs values
residual turbidity values
alpha values
1/beta values
gamma values
alpha values
1/beta values
gamma values
coefficient of variation