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Reliability Engineering
From failure data to predictive intervals.
MTTF/MTBF tracking, Weibull analysis, Monte Carlo simulation, and failure distribution modeling. Turn historical failure data into quantified risk and optimized inspection intervals.
Key Capabilities
- MTTF and MTBF calculation per equipment class
- Weibull distribution fitting (beta, eta, B-life percentiles)
- Monte Carlo simulation with 1,000 to 100,000 iterations
- Exponential, Weibull, and lognormal failure/repair distributions
- Series system modeling with standby spare redundancy
- P10/P50/P90 availability percentile ranges
- Structured reliability data collection by equipment class
- Inspection interval optimization based on failure statistics
Strategic Benefits
- Move from calendar-based to condition-based inspection intervals
- Predict failures before they happen with statistical confidence
- Quantify the probability distribution of plant availability
- Justify sparing decisions with Monte Carlo evidence
- Reduced inspection costs through optimized intervals
See Reliability Engineering in action
Get a personalized demo configured for your asset types and damage mechanisms.