Reliability Prediction Tool
Predict system reliability from component MTBF values using a series model with optional parallel redundancy.
Tool Purpose and README
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Inputs
Key results
Provide inputs and click calculate to see results.
System Reliability Derivation
Equation (1): Component reliability
$$ R = e^{-\lambda t} $$
R: reliability
\lambda: failure rate
t: mission time
Equation (2): Parallel redundancy
$$ R_{parallel} = 1 - (1 - R)^n $$
n: parallel count
Equation (3): Series system reliability
$$ R_{sys} = \prod R_i $$
R_i: block reliability
Substituted values
Equivalent Failure Rate Derivation
Equation (4): Effective failure rate
$$ \lambda_{eq} = -\frac{\ln R_{sys}}{t} $$
\lambda_{eq}: equivalent failure rate
R_{sys}: system reliability
t: mission time
Substituted values
Equivalent MTBF Derivation
Equation (5): Equivalent MTBF
$$ MTBF_{eq} = \frac{1}{\lambda_{eq}} $$
MTBF_{eq}: equivalent MTBF
\lambda_{eq}: equivalent failure rate
Substituted values
Reliability allocation
Provide allocation inputs to compute required component targets.
Required component reliability
--
v
Required failure rate
--
1/hr
v
Required MTBF
--
hours
v
Allocation Reliability Derivation
Equation (6): Equal allocation
$$ R_{comp} = R_{sys}^{1/N} $$
R_{comp}: component reliability
R_{sys}: system reliability
N: component count
Substituted values
Allocation Failure Rate Derivation
Equation (7): Required failure rate
$$ \lambda_{req} = -\frac{\ln R_{comp}}{t} $$
\lambda_{req}: required failure rate
R_{comp}: component reliability
t: mission time
Substituted values
Allocation MTBF Derivation
Equation (8): Required MTBF
$$ MTBF_{req} = \frac{1}{\lambda_{req}} $$
MTBF_{req}: required MTBF
\lambda_{req}: required failure rate
Substituted values
Component summary
| Component | MTBF (hours) | Series | Parallel | Failure rate (1/hr) | Block reliability |
|---|
System reliability curve
Background and Theory
Contents
Overview
This tool assumes independent component failures and uses an exponential reliability model with constant failure rates. Series blocks multiply reliability, while parallel redundancy assumes independent units with no repair during the mission time.
Assumptions
- Component failures follow an exponential distribution with constant hazard rate.
- Redundancy is cold or hot standby without repair during the mission.
- Components are statistically independent.
References
- O'Connor, P.D.T. and Kleyner, A. Practical Reliability Engineering, 5th ed.
- Ebeling, C.E. An Introduction to Reliability and Maintainability Engineering.
- IEC 60300-3-1: Dependability management - Application guide.