Interrupts
Last updated
Last updated
Interrupts (or failures/stops) help the user model real-world behavior as closely as possible in a Discrete Rate Simulation. Interrupts are directly related to reliability, which is the probability that a system will perform its intended function for a specified period of time. For example, a reliability of 0.8 at 100 hours indicates that after 100 hours, there is an 80% chance that the system is still functioning.
Interrupts can be imported or added directly in the Constraints pane.
Each Interrupt has the following parameters:
Name
Interrupt Type
Uptime Distribution
Uptime Parameter 1
Uptime Parameter 2
Downtime Distribution
Downtime Parameter 1
Downtime Parameter 2
Interrupts are often classified using a failure rate graph often referred to as a 'bathtub curve'. This graph is used in reliability engineering and deterioration modeling to characterize the times between failures. The 'bathtub' refers to the shape of a line that curves up at both ends, similar in shape to a bathtub. The curve has 3 regions:
The first region has a decreasing failure rate due to early failures.
The middle region has a constant failure rate due to random failures.
The last region has an increasing failure rate due to wear-out failures.
See the Distributions section for more information on various types of distributions that can be used to characterize interrupts.