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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →The bathtub curve describes how failure rates can change across a population of equipment over time; it cannot tell you when a particular machine will fail. Use it to frame lifecycle risks, then use reliability-centered maintenance (RCM) and failure-mode analysis to choose actions for the asset, its operating conditions and the consequences of failure. If you are considering refurbishment or reuse, add testing, traceability and lifecycle-cost checks before deciding.
What does the bathtub curve mean?
The bathtub curve is a model of a population’s failure behavior. Its name comes from a curve that falls, stays relatively level, then rises:
- Early failures: The rate is higher at the beginning of service and declines. NASA’s Reliability-Centered Maintenance Guide calls this “Infant Mortality.”
- Intrinsic or useful life: The rate is comparatively stable. NASA labels this region “Random Failures.”
- Wearout: The rate rises as age-related degradation becomes more influential. NASA calls this “Wearout.”
NIST describes the curve as a population hazard-rate model. For repairable systems, the vertical axis may instead represent repair rate or rate of occurrence of failures (ROCOF). Those measures describe a group’s behavior over time; they do not provide a guaranteed expiration date for an individual asset.
NASA’s guide contrasts the first-generation bathtub characteristic with a second-generation “saucer” characteristic. It associates fewer early failures with better commissioning and less maintenance, and longer life with improved maintenance tasks and proactive maintenance. The useful lesson is not that every asset follows one shape, but that failure behavior and the effectiveness of maintenance can differ across a lifecycle.
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How do you turn the curve into maintenance decisions?
Do not schedule work just because an asset is thought to be “in the wearout phase.” Establish what the asset must do, identify how it can fail and what those failures would mean, then select an appropriate response. RCM is the broad decision framework for this; FMEA or FMECA supplies a structured way to analyze failure modes.
Reliability-centered maintenance (RCM)
NASA describes RCM as a way to improve overall equipment effectiveness while controlling lifecycle cost. It can combine different strategies, from run-to-failure to FMEA and predictive testing and inspection. NASA’s facilities policy describes RCM as identifying actions that reduce failure probability and selecting a cost-effective mix of proactive and reactive maintenance, with operating data used to improve future decisions.
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In practice, RCM asks what functions matter, how those functions can fail, what the consequences are and which action is justified. A task is not automatically worthwhile because it is preventive: if it does not address a meaningful failure risk, or costs more than the risk it controls, another response may make more sense. Depending on the case, that response can include inspection, testing, scheduled maintenance, running to failure or changing how the equipment is operated.
FMEA and FMECA
IEC 60812:2018 describes failure mode and effects analysis (FMEA) as a method for identifying how an item or process might fail, along with the effects, causes and treatments. Failure mode, effects and criticality analysis (FMECA) adds criticality prioritization. The standard covers hardware, software, processes and interfaces, and addresses planning, performing, documenting and maintaining the analysis.
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FMEA/FMECA does not by itself select the full maintenance strategy. It organizes evidence about possible failures and their consequences so a team can prioritize treatments. RCM provides the wider decision context in which that analysis can inform maintenance choices.
Use operating evidence to revise the plan
Record failures, inspections, tests and maintenance outcomes in a form that can inform later decisions. NASA’s facilities policy specifically describes using operating data to improve maintenance. If an assumed failure pattern is not borne out by operating experience, revisit the task or its timing rather than treating the curve as proof that the original plan is right.
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How do RCM, FMEA and the bathtub curve differ?
These tools answer different questions rather than compete as substitutes. The curve frames population behavior; FMEA/FMECA structures the analysis of failure modes; RCM turns asset functions, failure consequences and costs into a maintenance approach.
| Tool | Main question it helps answer | How it informs life extension | Key limitation |
|---|---|---|---|
| Bathtub curve | How might a population’s failure rate change across its lifecycle? | Frames early-failure, comparatively stable and wearout behavior. | Does not predict an individual asset’s failure date or establish that every asset follows this pattern. |
| RCM | Which maintenance approach best addresses asset functions, failure consequences and lifecycle cost? | Selects a mix of proactive and reactive actions and can use operating data to improve the plan. | Requires decisions grounded in the asset’s function, risks, costs and operating evidence. |
| FMEA/FMECA | How could an item or process fail, what would cause it, and what would the effects be? | Identifies failure modes and treatments; FMECA adds criticality prioritization to help direct attention. | Structures failure analysis but is not, by itself, a complete maintenance strategy. |
| Refurbishment and life-extension assurance | Can a reused or life-extended product meet the necessary reliability and functional expectations? | Supports decisions about refurbishment, updating, upgrading, maintenance and second-hand use. | Reused-part products need appropriate tests and analysis; age or appearance alone does not establish assurance. |
What maintenance can help prevent wearout?
There is no universal task that prevents wearout for every asset. The appropriate action depends on the failure mode, its consequences, the available evidence and the cost and disruption of maintenance. RCM helps decide whether a proactive task is justified; FMEA/FMECA can help identify and prioritize the failure modes that task should address.
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Maintenance can support life extension when it addresses a relevant failure risk, but it cannot make a population model into a precise forecast for one machine. NASA’s guide links improved maintenance tasks and proactive maintenance with life extension, while its RCM material allows strategies ranging from run-to-failure to predictive testing and inspection. Select according to the equipment and risk, not a blanket assumption that more scheduled work is always better.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When should you refurbish, update, upgrade or reuse equipment?
Life extension is broader than repairing worn parts. IEC 62309:2024 explicitly covers extending useful life through refurbishment, life extension, updating, upgrading, maintenance and second-hand use. It requires tests and analysis before a product containing reused parts can be declared “qualified-as-good-as-new” (QAGAN).
That requirement makes assurance central to the decision. A reused-part product should not be treated as equivalent to a new-parts product solely because it operates or looks serviceable. Determine what testing and analysis are needed to support the intended reliability and functionality, and retain the evidence needed to justify the qualification.
Check the case for extension
- Failure risk: Identify the failure modes the work is meant to address and how their likelihood or consequences could change.
- Safety and regulatory consequences: Consider the effect of failure and the evidence needed to support use in the intended context.
- Labor and downtime: Include the maintenance or refurbishment effort and the disruption required to perform it.
- Testing and traceability: Establish what analysis, tests and records are needed, especially when reused parts are involved.
- Reversibility: Consider whether the change can be undone if results are poor, or whether it commits the organization to a harder-to-reverse path.
- Residual uncertainty: Identify what remains unknown after the proposed work and whether that uncertainty is acceptable for the asset’s role.
How do supportability and lifecycle cost change the decision?
Extending service life is not automatically the least-cost or lowest-risk choice. The relevant comparison includes performance, cost and risk across creation, operation, maintenance and refurbishment—not just the immediate cost of a repair or replacement. IEC 60300-3-14:2024 provides supportability guidance for any lifecycle stage and frames this balance. IEC 60300-3-3:2017 provides lifecycle-cost guidance that highlights dependability-related costs for managers, engineers, finance staff and contractors.
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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Use that perspective to compare feasible options on the same basis: how well each can meet the required function, the risk it leaves, the maintenance labor and downtime it entails, the evidence needed to justify it, and the costs associated with dependability over the relevant lifecycle. If the operating data are weak or the remaining uncertainty is unacceptable, a nominally cheaper extension may not be the better decision.
Quick Recap
A practical decision sequence
- Define the required function and context. State what the equipment must do and what the consequences of losing that function would be.
- Describe credible failure modes. Use FMEA or FMECA to organize causes, effects and treatments; add criticality prioritization when the analysis calls for it.
- Select a maintenance response through RCM. Compare proactive and reactive options against failure consequence, effectiveness, labor, downtime and lifecycle cost.
- Review operating feedback. Use recorded failures, inspections and test results to improve the maintenance approach rather than relying on the curve alone.
- Assess life extension or reuse. For refurbishment, updating, upgrading or second-hand use, define the testing, analysis and traceability needed to support the intended reliability and functionality.
- Balance supportability, cost and residual risk. Compare extension with other feasible options over the lifecycle and make explicit what uncertainty remains.
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