Analytical Quick Calculation Pad (QCP)
                                                
                                                BlockSim includes a Quick Calculation Pad (QCP) for computing 
		 useful metrics. You can access the QCP by choosing Analysis 
		 > Analysis > Analytical QCP or by clicking its icon 
		 on the Analytical page of the diagram control panel.
                                                
                                                    
                                                
                                                To perform a calculation, select the appropriate option and 
		 enter any required inputs in the Input 
		 area, then click Calculate. 
		 For more detailed information on how to use the QCP in general, 
		 see Quick Calculation 
		 Pad (QCP).
                                                The following calculations are available for analytical diagrams:
                                                
                                                
Reliability
                                                
                                                
                                                    Calculates the probability that a 
			 new system will operate without failure for a given period 
			 of time. Enter the time at which you wish to calculate the 
			 reliability in the Mission 
			 End Time field. The mission is assumed to start at 
			 time = 0.
                                                    For example, a reliability of 90% 
			 for a mission end time of 3 years means that if 100 identical 
			 systems are fielded, then 90 of them will still be operating 
			 at the end of 3 years.
                                                    Note: 
			 Reliability calculations are available even when the linked 
			 RBD or fault tree contains static blocks. If the diagram contains 
			 one or more static blocks (i.e., blocks that use a constant 
			 model), the mission end time for the static blocks is assumed 
			 to be equal to the time for which the fixed reliability value 
			 has been defined.
                                                 
                                                
Probability 
		 of Failure
                                                
                                                
                                                    Calculates the probability that a 
			 new system will be failed in a given period of time. Enter 
			 the time at which you wish to calculate the probability of 
			 failure in the Mission End 
			 Time field. The mission is assumed to start at time 
			 = 0.
                                                    Probability of failure is also known 
			 as unreliability and it is the inverse of the reliability. 
			 For example, a probability of failure of 10% for a mission 
			 end time of 3 years is equivalent to a 90% reliability.
                                                 
                                                
Conditional 
		 Reliability
                                                
                                                
                                                    Calculates the probability that a 
			 system will successfully operate at a specific time interval 
			 given that it has operated successfully up to a specified 
			 time. Enter the start time of the interval in the Mission 
			 Start Time field and enter the duration of the interval 
			 in the Mission Additional 
			 Time field.
                                                    For example, a system may have a reliability 
			 of 90% for 3 years. If the system has operated for 2 years 
			 without failure, the conditional reliability for an additional 
			 year (for a total of 3 years of operation) may be 95%.
                                                    Note: 
			 This assumes that all components start with the same accumulated 
			 age; that is, all components start life at 0 and age to the 
			 Mission Start Time 
			 value. It is possible to consider an individual component 
			 that has already accumulated some age (i.e., a used component) 
			 in the same formulation by changing the block's Current 
			 Age value in the Block Properties window.
                                                 
                                                
Conditional 
		 Probability of Failure
                                                
                                                
                                                    Calculates the probability that a 
			 system will be failed at a specific time interval given that 
			 it has not failed up to a specified time. Enter the start 
			 time of the interval in the Mission 
			 Start Time field and enter the duration of the interval 
			 in the Mission Additional 
			 Time field.
                                                    For example, a product may have a 
			 10% probability of failure for 3 years. If the product has 
			 operated for 2 years without failure, the conditional probability 
			 of failure for an additional year (for a total of 3 years 
			 of operation) may be 5%.
                                                 
                                                
                                                
Reliable 
		 Life
                                                
                                                
                                                    Calculates the estimated time at which 
			 a specified reliability value will be achieved. Enter the 
			 reliability goal in the Required 
			 Reliability field. For example, a goal of 90% reliability 
			 with a reliable life of 4 years means that if 100 identical 
			 systems are fielded, then 90 of them will be still be operating 
			 at the end of 4 years.
                                                 
                                                
BX% 
		 Life
                                                
                                                
                                                    Calculates the estimated time at which 
			 a specified probability of failure will be achieved. Enter 
			 the probability of failure in the BX% 
			 Information At field. For example, a B10 life of 4 
			 years means that the system has a 10% probability of failure 
			 in 4 years of operation (note that this is equivalent to a 
			 90% reliability with a reliable life of 4 years).
                                                    Note: 
			 In the early days of reliability engineering, bearing manufacturers 
			 used the term "B10 life" to refer to the time by 
			 which 10% of the components would fail. Keeping with tradition, 
			 ReliaSoft retained this nomenclature but replaced "10" 
			 with "X," since the software allows you to get this 
			 information at any percentage point and not just at 10% (e.g., 
			 B1, B5, etc.).
                                                 
                                                
Mean 
		 Life
                                                
                                                
                                                    Calculates the mean time to failure 
			 for the non-repairable system in the diagram.
                                                    Note: 
			 The mean life is a performance index and does not provide 
			 any information about the behavior of the failure distribution 
			 of the system.
                                                 
                                                
                                                
Failure 
		 Rate
                                                
                                                
                                                    Calculates the instantaneous number 
			 of failures per unit time that can be expected at a certain 
			 time given that the system survives to that age. Enter the 
			 time at which you wish to calculate the failure rate in the 
			 Time field.
                                                    For example, a failure rate of 0.01 
			 at 100 hours means that a system that survives to 100 hours 
			 has approximately a 1% probability of failure in the next 
			 hour.