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Redundancy protects against random hardware failures — but it provides almost no protection against common cause failure (CCF): the simultaneous failure of multiple redundant channels from a single shared cause. A software defect in identical processors, a design error replicated across all four divisions of a reactor protection system, or a temperature extreme exceeding all identical components’ ratings. IEC 60744 (2018) provides the systematic methodology for identifying, assessing, and mitigating CCF vulnerability in nuclear power plant instrumentation and control (I&C) systems — where CCF can defeat the entire safety architecture.
| Defence Strategy | Objective | Engineering Implementation | CCF Vulnerability Addressed |
|---|---|---|---|
| Functional diversity | Use different physical principles for same safety function | Reactor trip via neutron flux (ex-core detectors) AND temperature (core-exit thermocouples) | Common-mode sensor failure, calibration error propagation |
| Equipment diversity | Use different manufacturers/designs for redundant channels | Two diverse digital platforms (e.g., FPGA-based + microprocessor-based) for reactor protection | Software CCF, component batch defects, manufacturer design error |
| Signal diversity | Derive trip parameter from different process measurements | DNB (Departure from Nucleate Boiling) ratio from neutron flux, pressure, flow, and temperature | Single sensor type failure, shared instrument loop faults |
| Physical separation | Prevent common environmental cause affecting all channels | Separate cable trays, fire zones, power supplies for each redundancy division | Fire, flooding, electromagnetic interference, sabotage |
| Human diversity | Prevent common human error across redundant channels | Independent design teams, independent V&V, separate maintenance procedures and schedules | Systematic design error, maintenance-induced CCF |
IEC 60744 outlines a multistep CCF analysis process. The first step is a qualitative screening: identifying all potential CCF coupling factors — hardware similarities (identical components, same manufacturers), software similarities (shared code libraries, common compilers), environmental similarities (shared locations, common power supplies), and procedural similarities (same maintenance technician calibrating all channels). The second step, where engineering judgment is most critical, is evaluating the effectiveness of existing defences against each coupling factor.
The third step, where applicable, is semi-quantitative or quantitative CCF modelling using beta-factor or multiple Greek letter (MGL) methods. The beta-factor represents the fraction of component failures that are common-cause rather than independent — values of 0.01 to 0.10 are typical for diverse digital systems, but can exceed 0.30 for identical software-based systems without adequate diversity.
Diversity is expensive: diverse platforms require separate development, qualification, maintenance, and spare parts inventories. IEC 60744 helps engineers determine how much diversity is enough by providing a structured framework for evaluating the risk reduction gained from each diversity measure against its lifecycle cost. The standard recognizes that complete CCF elimination is impossible — the goal is to reduce CCF contribution to an acceptably low level in the overall plant risk profile, typically such that CCF does not dominate the core damage frequency calculation.