Casestudie Breakdown prediction Contell PILOT - Transumo

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Index of Figures Figure 2-2: Temperature Sequence of a Properly Working 6°C Passive Fridge [DEMO06]........... 5 Figure 2-3: Temperature Sequence of a Properly Working 6°C Active Fridge [DEMO06] ............. 6 Figure 2-4: Temperature Sequence of a -80°C Active Freezer [DEMO06]..................................... 7 Figure 2-5: Temperature Sequence of a -80°C Passive Freezer [DEMO06] .................................. 8 Figure 2-6: Temperature Sequence of a -20°C Active Freezer [DEMO06]..................................... 8 Figure 2-7: Temperature Sequence of a Cryogenic Freezer in Practical Use [UMC06] ................. 9 Figure 2-8: Lack of Information Problem Caused by Sensor Based Temperature Monitoring ..... 13 Figure 2-9: The Problem of Unknown Behavior between Two Single Data Points....................... 13 Figure 2-10: Estimated Answers of Statistics and Data Mining..................................................... 17 Figure 3-1: Flowchart of the Temperature Monitoring Task .......................................................... 20 Figure 3-2: XiltriX - Schematic Drawing of an Installation with Basic Components ...................... 22 Figure 3-3: XiltriX - The Main Screen [DEMO06]........................................................................... 24 Figure 3-4: XiltriX - Stored Data in Table Form [DEMO06] ........................................................... 27 Figure 3-5: XiltriX - Stored Data in Graphical Form [DEMO06]..................................................... 28 Figure 3-6: XiltriX – Available Statistical Information [DEMO06]................................................... 29 Figure 3-8: XiltriX - Time Dependent Limit Settings [DEMO06]..................................................... 33 Figure 3-9: XiltriX - Setting up an Alarm Relay [DEMO06] ............................................................ 34 Figure 3-13: Centron - A Sample Graph with Multiple Scales [Rees06] ....................................... 42 Figure 4-1: General Overview of the Generalized Approach ([Daßler95], p. 22) (adapted) ......... 48 Figure 4-2: A Delayed Trend Recognition Due to Removal of "Outliers" ...................................... 49 Figure 5-1: Two Samples of Regression ([Bourier03], p. 167) (adapted)...................................... 61 Figure 5-2: Incorrect Regression Function due to an Outlier ([Eckey02], p. 180) (adapted) ........ 63 Figure 5-3: Correct Regression Function ([Eckey02], p.180) (adapted)........................................ 63 Figure 5-4: Sales of an Industrial Heater [Chatfield04].................................................................. 66 Figure 5-5: Sample Transition Probability Graph........................................................................... 70 Figure 5-6: Functioning of an Artificial Neuron ([Hagen97], p. 8) (adapted).................................. 76 Figure 6-1: Exported XiltriX Data (An Excerpt) .............................................................................. 86 Figure 6-2: Temperature Overview of the Selected Sample Dataset............................................ 89 Figure 6-3: Maximum Values at Daytime....................................................................................... 91 Figure 6-4: Maximum Values at Nighttime..................................................................................... 91 Figure 6-5: Minimum Values at Daytime........................................................................................ 93 Figure 6-6: Minimum Values at Nighttime...................................................................................... 93 Figure 6-7: Mean Values at Daytime.............................................................................................. 94 Figure 6-8: Mean Values at Nighttime ........................................................................................... 94 Figure 6-9: Standard Deviation at Daytime.................................................................................... 95 Figure 6-10: Standard Deviation at Nighttime................................................................................ 95 Figure 6-11: Daily Door Openings and Temperature Distribution of the Selected Dataset .......... 98 Figure 6-12: Regression Function for the Selected Dataset.......................................................... 99 IV
Index of Tables Table 2-1: Error of First and Second Kind ..................................................................................... 12 Table 3-1: Listing of Existing Table Color Codes and Their Meaning ........................................... 25 Table 3-2: Listing of Existing Status bar Color Codes and Their Meaning.................................... 26 Table 3-3: Compliance of XiltriX According to the Requirements Analysis................................... 36 Table 3-4: Compliance of 3M Indicators According to the Requirements Analysis................... 38 Table 3-5: Compliance of the 2DI ThermaViewer According to the Requirements Analysis........ 39 Table 4-1: Compliance of the Generalized Approach According to the Requirements Analysis .. 54 Table 5-1: Estimated Improvements .............................................................................................. 85 Table 6-1: Import Problems of Tested Software Products............................................................. 86 Table 6-2: The Chosen Deltas ....................................................................................................... 96 Table 6-3: Reported Notifications (Based on Nighttime Data)....................................................... 97 Table 6-4: Classification of Alarms............................................................................................... 100 Table 6-5: Results of Classification According to Single Criterions............................................. 100 Table 6-6: Achieved Improvements ............................................................................................. 102 V
Page 1 and 2: Technische Universität Braunschwei
Page 3: 4.4 Review of Current State of Rese
Page 7 and 8: 1 Introduction 1.1 Initial Position
Page 9 and 10: 2 Sensor Based Temperature Monitori
Page 11 and 12: compressor. They are served by a ce
Page 13 and 14: the specified value, it works very
Page 15 and 16: of this, over a hundred irregular p
Page 17 and 18: a centralized one. An isolated appl
Page 19 and 20: Figure 2-8: Lack of Information Pro
Page 21 and 22: Moreover, the fridge’s filling le
Page 23 and 24: store this kind of data but only of
Page 25 and 26: 3 Current Monitoring Systems The la
Page 27 and 28: device’s condition. Especially th
Page 29 and 30: a converter that is also available
Page 31 and 32: To indicate important events within
Page 33 and 34: 1. Display stored data in table for
Page 35 and 36: This way of visualizing data is the
Page 37 and 38: free text. Moreover it is possible
Page 39 and 40: dependent limit and delay settings,
Page 41 and 42: Aside from these functions, the kin
Page 43 and 44: 1. Temperature verification in retr
Page 45 and 46: alarms by the use of additionally a
Page 47 and 48: The third mentioned Centron Environ
Page 49 and 50: 4 Current State of Research As alre
Page 51 and 52: even this improvement is still face
Page 53 and 54: Another current approach is regress
Page 55 and 56:
S o n 2 = ∑ Yi −Yi n −1 i= 2
Page 57 and 58:
This algorithm returns an upper and
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• Critical values • Pre-warning
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5 Possible and Promising Ways of Da
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could be: “The mean increase of a
Page 65 and 66:
The mode is the most frequent value
Page 67 and 68:
Figure 5-1: Two Samples of Regressi
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5.4.2 The Major Problems of Regress
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The next section will introduce tim
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explained in section 5.4. If such a
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pictured in Formula 5-12. Beside a
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P ( m) = P ( r ) ⋅ P ( m−r ) wi
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But the greatest problem is again t
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clustering as well as an analysis o
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The general idea of supervised lear
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sometimes data of a door opening se
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Beside the introduced notification
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A classification could be achieved
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Table 5-1: Estimated Improvements A
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As all these software products fail
Page 95 and 96:
6.2 Case Study The UMC St. Radboud
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Figure 6-3: Maximum Values at Dayti
Page 99 and 100:
Figure 6-5: Minimum Values at Dayti
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Figure 6-9: Standard Deviation at D
Page 103 and 104:
Table 6-3: Reported Notifications (
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Important for the determination of
Page 107 and 108:
Remarkable is a comparison to the a
Page 109 and 110:
Interviews with several employees f
Page 111 and 112:
7 Summary Cooling devices within me
Page 113 and 114:
Bibliography Books and Articles: [B
Page 115 and 116:
[Wittenberg98] Reinhard Wittenberg,
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Appendix 1 - Implementation of Inte
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%Name and location of the source fi
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Appendix 2 - Implementation of Stat
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dailydate = [dailydate; floor(date(
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%Count Dooropenings per Day dailydo
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xlswrite(strcat(path, 'Excel\', fil
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print('-dtiff', strcat(path, 'Graph
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ar([dailydate(1):dailydate(length(s
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Appendix 3 - Implementation of Data
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Duration = 0; maxtemp = 0; elseif (
Page 137 and 138:
%Contains [Duration, Number of Occu
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disp(strcat('Dooropening
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Casestudie Breakdown prediction Contell PILOT - Transumo

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