Reliability and resilience engineering studies how systems fail, how failures can be prevented and how systems absorb, adapt and recover from disruption. It addresses both technical components and the organisations that operate them. Critical Infrastructure stewards this page for the Nexus Consortium.
GCRI · Reliability and resilience… · Run R-3730
nodes: assets · edges: dependencies
| N3 | 8811 | 8 | Critical |
| N4 | 5317 | 25 | Normal |
| N5 | 4984 | 14 | Normal |
| N6 | 5367 | 42 | Normal |
GCRI · Reliability modelReliability model, in outline: domain structure with placeholder names and illustrative values, not a record.
Reliability and resilience engineering studies how systems fail, how failures can be prevented and how systems absorb, adapt and recover from disruption. Resilience engineering identifies critical components and recovery bottlenecks across connected systems. In the Nexus Consortium, Critical Infrastructure stewards its canonical page, and 5 other platforms apply it, including Energy Nexus and Systemic Risk Management.
Where people and networks concentrate, the exposure through which shocks travel between systems, shown for the Gulf as an example geography for this subject.
failure modes and effects analysis; fault tree analysis; reliability block diagrams; resilience metrics; maintenance optimisation; post-incident analysis.
failure and maintenance records; incident databases; condition monitoring data; component test data; operator logs.
Reliability predictions are compared with field failure data. Exercises and post-event reviews check whether recovery performed as planned.
Common-cause failures and rare events are hard to estimate from limited data. Human and organisational factors resist quantification.
Resilience engineering identifies critical components and recovery bottlenecks across connected systems. It informs redundancy, spares and restoration priorities.
| Reference | What it sets |
|---|---|
| ISO 22301 | Business continuity management |
| IEC 60300 dependability management | Reliability and availability |
| Sendai target D | Damage to critical infrastructure and disruption of basic services |
Reliability asks how often a component fails; resilience asks how a system performs during and after disruption. The resilience curve (performance against time through a disruption) makes recovery speed and degraded performance explicit. Interdependent networks need joint restoration planning, because one network's recovery waits on another's.
Critical Infrastructure stewards reliability and resilience engineering: it keeps this description current and reviews how the method is applied across the platforms.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Recovery time objective | The target time within which a service or system must be restored after disruption. |
| Post-incident review | A structured review of an incident's causes and the changes needed to prevent recurrence. |
| Graceful degradation | Continuing to provide a reduced service when part of a system fails. |
| Learning review | A post-incident review focused on causes and improvement rather than blame. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.