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
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  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.

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Last updated 9 months ago

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