Casestudie Breakdown prediction Contell PILOT - Transumo

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Table 3-2: Listing of Existing Status bar Color Codes and Their Meaning Color Meaning Grey Button is not in use or configured Green No alarms are activated Red An alarm has been activated within this section Yellow An alarm has been canceled but not reset yet Blue The SMS and/or E-Mail module is connected to XiltriX but turned off (only available for SMS and E-Mail button) The last six buttons offer additional information. “Tech” indicates a technical problem within XiltriX. This could be a broken cable to one of the sensors or one of the substations 19 for instance. “M1” and “M2” symbolize master alarm 1 and 2. Depending on the system’s configuration, it is possible to assign special kinds of serious failures to these buttons. 20 “Sys” reports system alarms. Consequently, it is similar to the technical alarm but it reports minor serious problems. In standard configuration it is not in use because no parts of less importance are attached to the system. The two remaining buttons are called “SMS” and “EMAIL”. They indicate the status of the optional available remote alert modules. A red colored SMS button, for example, indicates that an SMS was sent due to a just active alarm. All described elements together allow a very quick overview of the current system. Figure 3-3 on page 24, for instance, pictures a system within normal operation. All monitored devices are grouped to a single department, which does not report an alarm. “Tech” and “M1” also indicate a well running system within specifications. In addition to that, the system is capable of sending SMS and E-Mail. But the blue color indicates that in case of a malfunction these features will not be used because they are turned off within the configuration of XiltriX. 3.2.1 Current Possibilities to Display and Analyze Stored Data As already pointed out in section 2.3 and section 3.2, the recorded data would allow extended data analysis. But currently available systems only offer basic manual analysis. The current version of XiltriX only offers the following possibilities: 19 Substations are explained in section 3.1 20 See section 3.3.3 for details 26
1. Display stored data in table form 2. Display stored data in graphical form 3. Display basic statistical information Figure 3-4 pictures the first offered possibility to display stored data in numerical form. This table contains all available information of a selected device. The first two columns contain information of date and time of storage. This information is saved in local time (Central European Summer Time) and GMT (Greenwich Mean Time). Normally, one of these two columns would be enough. But as XiltriX is certified according to ISO 9001:2000, both columns are necessary. Columns three and four contain information of the measured temperature. “Raw value” is the raw digital measured value that is received by an attached sensor. This value is converted to Celsius scale and stored as “evaluated value”. The needed conversion factor is about 100:1. To identify the exact factor, a calibration is done regularly with every single sensor. Moreover, “lo” and “hi” contain the set critical temperature limits at storage time. In combination with the “evaluated value” it is possible to analyze in retrospect the number of alarms during a specified time period. Figure 3-4: XiltriX - Stored Data in Table Form [DEMO06] 27
Page 1 and 2: Technische Universität Braunschwei
Page 3 and 4: 4.4 Review of Current State of Rese
Page 5 and 6: Index of Tables Table 2-1: Error of
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: To indicate important events within
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
Page 59 and 60: • Critical values • Pre-warning
Page 61 and 62: 5 Possible and Promising Ways of Da
Page 63 and 64: 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
Page 69 and 70: 5.4.2 The Major Problems of Regress
Page 71 and 72: The next section will introduce tim
Page 73 and 74: explained in section 5.4. If such a
Page 75 and 76: pictured in Formula 5-12. Beside a
Page 77 and 78: P ( m) = P ( r ) ⋅ P ( m−r ) wi
Page 79 and 80: But the greatest problem is again t
Page 81 and 82: 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
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6.2 Case Study The UMC St. Radboud
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Figure 6-3: Maximum Values at Dayti
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Figure 6-5: Minimum Values at Dayti
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Figure 6-9: Standard Deviation at D
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Table 6-3: Reported Notifications (
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Important for the determination of
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Remarkable is a comparison to the a
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Interviews with several employees f
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7 Summary Cooling devices within me
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Bibliography Books and Articles: [B
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[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 (
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%Contains [Duration, Number of Occu
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disp(strcat('Dooropening
show all

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