Casestudie Breakdown prediction Contell PILOT - Transumo

%Name and location of the source file
unit = 1;
filename = strcat('Channel', int2str(unit), '.csv');
path = 'C:\Dokumente und Einstellungen\Christian\Eigene
Dateien\Dokumente\Studium\Diplomarbeit\Monitoring Data Nijmegen
(Converted)\';
%Import Dataset
import = importdata(strcat(path, filename));
%Create Datevector (as serial date number):
date = datenum(import.textdata(:,1), 'dd-mm-yy HH:MM:SS');
%Import Interpolated Data from Disk
interpolation = importdata(strcat(path, filename, '- Interpolated.txt'));
%Definition of a Second
second = 1/(24*60*60);
%Definition of a Minute (For Performance Reasons)
minute = 1/(60*24);
%Definition of Day- and Nighttime
daybegin = (1/24)*6;
dayend = (1/24)*22;
%Start (Index of the imported data)
%1 = Begin of imported file, add 1440 per Day
start = 1 + 7*1440;
%Self defined limits:
upperLimit = 6;
lowerLimit = 2;
DoorOffset = 3; %Offset in Minutes
%Determine Number of Occured Alarms
%-----using the Original Limits!-----
%Contains Date and Information, which Kind of Alarm
%(1 = Above High Temperature Border; -1 = Below Low Temperature Border)
%and Duration
%Contains: [Date, Type of Alarm, Duration, Maximum Temperature]
AlarmsOL = [];
Alarmbefore = 0;
Duration = 0;
maxtemp = 0;
for i = start:length(interpolation(:,1));
if (interpolation(i,2) >= interpolation(i,5)) && (Alarmbefore == 0);
%Get Duration
k = i;
while (k =
interpolation(k,5));
k = k + 1;
end
Duration = k - i;
maxtemp = max(interpolation(i:k,2));
AlarmsOL = [AlarmsOL; [interpolation(i,1), 1, Duration, maxtemp]];
Alarmbefore = 1;
A-128