BlockSim Simulation RBD Plot ptRSFCIBarChart - Revision history

Richard House: Replaced content with '{{WebNotes BlockSim RS FCI Plot}}'

2012-07-23T03:21:30Z

Replaced content with '{{WebNotes BlockSim RS FCI Plot}}'

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	{{~~Template:NoSkin}}~~		{{WebNotes BlockSim RS FCI Plot}}
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	~~\| valign="middle" \|{{Font\| Simulation RBD Plot~~ RS FCI~~\|11\|tahoma\|bold\|gray}}~~
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	The RS FCI plot shows the ReliaSoft Failure Criticality Index for each block. This is a relative index showing the percentage of times that a failure of the block caused a system failure (i.e., the number of system failures caused by the block divided by the total number of system failures). Note that this relates to all failures, not just downing failures. You can specify the number of blocks to display; the blocks with the highest RS FCI value will be shown in the plot. Point to a bar to view the block’s name, availability and RS FCI.
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	~~\| [http://help.synthesis8.com/blocksim8/simulation_plots.htm the help files...]~~
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	~~\| [http://reliawiki.com/index.php/Repairable_Systems_Analysis_Through_Simulation the theory textbook...]~~
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	~~\| [http://www.reliawiki.com/index.php/BlockSim_Phase_Simulation_Plot_Examples use example(s)...]~~
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Athanasios Gerokostopoulos at 01:04, 18 April 2012

2012-04-18T01:04:49Z

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	\| valign="middle" \|{{Font\| Simulation ~~Diagram~~ RS FCI ~~Plot~~\|11\|tahoma\|bold\|gray}}		\| valign="middle" \|{{Font\| Simulation RBD Plot RS FCI\|11\|tahoma\|bold\|gray}}
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	RS FCI shows the ReliaSoft Failure Criticality Index for each block. This is a relative index showing the percentage of times that a failure of the block caused a system failure (i.e., the number of system failures caused by the block divided by the total number of system failures). Note that this relates to all failures, not just downing failures. You can specify the number of blocks to display; the blocks with the highest RS FCI value will be shown in the plot. Point to a bar to view the block’s name, availability and RS FCI.		The RS FCI plot shows the ReliaSoft Failure Criticality Index for each block. This is a relative index showing the percentage of times that a failure of the block caused a system failure (i.e., the number of system failures caused by the block divided by the total number of system failures). Note that this relates to all failures, not just downing failures. You can specify the number of blocks to display; the blocks with the highest RS FCI value will be shown in the plot. Point to a bar to view the block’s name, availability and RS FCI.
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Nicolette Young at 23:26, 21 March 2012

2012-03-21T23:26:03Z

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Nicolette Young at 21:09, 21 March 2012

2012-03-21T21:09:26Z

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Nicolette Young at 21:08, 21 March 2012

2012-03-21T21:08:00Z

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	ReliaSoft's Failure Criticality Index ~~(RS FCI)~~ is a relative index showing the percentage of times that a failure of ~~this component~~ caused a system failure. ~~For component <math>A</math> , this is 63.93%~~. ~~This implies that 63.93% of the times that the system failed~~, ~~it was due to~~ the ~~fact that component <math>A</math> failed.~~		RS FCI shows the ReliaSoft Failure Criticality Index for each block. This is a relative index showing the percentage of times that a failure of the block caused a system failure (i.e., the number of system failures caused by the block divided by the total number of system failures). Note that this relates to all failures, not just downing failures. You can specify the number of blocks to display; the blocks with the highest RS FCI value will be shown in the plot. Point to a bar to view the block’s name, availability and RS FCI.
	~~<br>~~
	~~<math>{{F}_{ZD}}</math> is a special counter~~ of system failures ~~not included in <math>Componen{{t}_{NSDF}}</math> . This counter is not explicitly shown in~~ the ~~results but is maintained~~ by the ~~software~~. ~~The reason for~~ this ~~counter is the fact that zero duration~~ failures ~~are~~ not ~~counted in <math>Componen{{t}_{NSDF}}</math> since they really did not down~~ the ~~system. However, these zero duration failures need~~ to ~~be included when computing~~ RS FCI.
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	~~It is important~~ to ~~note that for both RS DECI~~ and RS FCI, and if overlapping events are present, the component that caused the system event gets credited with the system event. Subsequent component events that do not bring the system down (since the system is already down) do not get counted in this metric.
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Nikki Helms at 20:46, 9 March 2012

2012-03-09T20:46:52Z

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Chuck Smith at 16:58, 8 March 2012

2012-03-08T16:58:11Z

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	{{~~rs fci~~}}		ReliaSoft's Failure Criticality Index (RS FCI) is a relative index showing the percentage of times that a failure of this component caused a system failure. For component <math>A</math> , this is 63.93%. This implies that 63.93% of the times that the system failed, it was due to the fact that component <math>A</math> failed.
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			<math>{{F}_{ZD}}</math> is a special counter of system failures not included in <math>Componen{{t}_{NSDF}}</math> . This counter is not explicitly shown in the results but is maintained by the software. The reason for this counter is the fact that zero duration failures are not counted in <math>Componen{{t}_{NSDF}}</math> since they really did not down the system. However, these zero duration failures need to be included when computing RS FCI.
			<br>
			It is important to note that for both RS DECI and RS FCI, and if overlapping events are present, the component that caused the system event gets credited with the system event. Subsequent component events that do not bring the system down (since the system is already down) do not get counted in this metric.
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Chuck Smith at 16:57, 8 March 2012

2012-03-08T16:57:24Z

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Nicolette Young at 18:51, 16 February 2012

2012-02-16T18:51:12Z

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Nicolette Young at 20:47, 15 February 2012

2012-02-15T20:47:14Z

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	\| ~~align="center"~~ valign="middle" \| [http://www.reliawiki.com/index.php/Repairable_Systems_Analysis_Through_Simulation Repairable Systems Analysis Through Simulation]		\| valign="middle" \| [http://www.reliawiki.com/index.php/Repairable_Systems_Analysis_Through_Simulation Repairable Systems Analysis Through Simulation]
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