What type of analysis would primarily focus on identifying potential failure points in a safety-critical system?

Failure Mode and Effect Analysis (FMEA) is specifically designed to analyze potential failure points in a system, particularly in safety-critical environments. This systematic approach evaluates the various ways that each component of the system might fail and the consequences of those failures. FMEA helps in identifying vulnerabilities, allowing teams to prioritize actions to mitigate risks associated with these failures.

The focus of FMEA is on both the potential failure modes and their effects on the overall system functionality and safety. This makes it particularly beneficial in industries such as automotive, aerospace, and healthcare, where understanding and preventing failures can be critical for safety.

In contrast, root cause analysis is aimed more at identifying the reasons behind an already occurring problem rather than proactively identifying potential issues. Regression analysis is primarily a statistical method used to understand relationships between variables, not specifically for identifying failures. Risk assessment refers to a broader evaluation of risks, which may include many factors beyond just failure modes, and is typically part of a larger risk management process. Therefore, FMEA is the correct choice when the goal is to focus on identifying failure points in safety-critical systems.