ChiAha
  • ReliaSim Overview
    • Getting Started
    • Navigation
    • Structure
      • Node Types
        • Buffers
        • Constraints
          • Limits
          • Interrupts
            • Interrupt Types
            • Time to Failure
            • Time to Repair
            • Distributions
              • Fixed Distribution
              • Uniform Distribution
              • Normal Distribution
              • Weibull Distribution
              • LogNormal Distribution
              • Johnson SU Distribution
        • Splits
        • Merges
        • Conveyors
        • Conversions
    • Experiments
      • Experiment Types
      • Experiment Parameters
    • Reports
      • OEE
      • Single Run Results
      • Multi-Run Results
      • Buffer Trade-off Results
      • Interrupt Loss/Gain Results
  • ChiAha Discrete Rate Simulation
    • Example
    • References
  • Building your first model
    • Structure
    • Node View
    • Conversions
    • Interrupts
    • Experiments and Reporting
    • Saving your model
  • Another Example Model
    • Basic Structure
    • Conversions
    • Splits and Merges
    • Full Structure
    • Node View
      • Units and Conversions
      • Rates and Buffers
    • Interrupts
    • Experiments
      • Single Run
      • Interrupt Loss/Gain
      • Buffer Tradeoff
    • Summary
  • Wishbone Overview
    • Video Overview
    • Loading a File
    • Excluding Cause Groups
    • Mapping Cause Groups
    • Reviewing Estimates
  • Model Building with Markdown
    • The Click-Connect System
Powered by GitBook
On this page

Was this helpful?

  1. ReliaSim Overview
  2. Structure
  3. Node Types
  4. Constraints
  5. Interrupts

Time to Failure

Failures are dependent on a number of different factors including component type, size, design, weather conditions and geographical location. There is no guarantee that a component will fail according to the history of similar components.

The Time to Failure (TTF) distribution is a random distribution modeled to predict component failure as an entirely random event. This distribution is often parameterized based on historical data.

As such, the time when a component actually will fail cannot be fully predicted, and the TTF is merely an approximation of the actual failure based on previous observations.

PreviousInterrupt TypesNextTime to Repair

Last updated 10 months ago

Was this helpful?