Failure Mode, Effects and Criticality Analysis (FMECA)
Failure mode, effects and criticality analysis (FMECA) extends FMEA by adding a quantitative criticality assessment to each identified failure mode. It ranks failures by both the probability of occurrence and the severity of consequences to prioritise reliability action.
Failure mode, effects and criticality analysis (FMECA) is a reliability technique that builds on failure mode and effects analysis (FMEA) by adding a criticality assessment. After identifying how a component can fail and what the effects are, FMECA rates each failure mode on the probability of occurrence and the severity of its consequences, producing a criticality ranking that prioritises which failures demand action first.
Why it matters
FMECA gives engineering and maintenance teams a defensible, quantitative basis for deciding where to invest in design changes, redundancy, inspections, or monitoring. By separating high-criticality failure modes from minor ones, it prevents both over-engineering of low-risk items and under-protection of high-risk ones. It is widely used in aerospace, defence, mining, and other sectors where failure consequences are severe.
How MapTrack helps
MapTrack supplies the real failure history, downtime, and inspection records that FMECA needs to assign accurate occurrence ratings, so the criticality assessment reflects field experience rather than estimates alone.
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Frequently asked questions
What is the difference between FMEA and FMECA?
FMEA identifies failure modes and their effects and often scores them using a risk priority number. FMECA adds a dedicated criticality analysis that rates each failure mode on probability of occurrence and severity of consequence, producing a criticality ranking. FMECA is common where quantitative reliability data is available and is sometimes mandated by defence and aerospace standards.
When should you use FMECA instead of FMEA?
FMECA is appropriate when failure consequences are severe, when quantitative occurrence and severity data exists, or when a standard or customer requires a formal criticality assessment. For lower-risk equipment or early design stages where data is limited, a standard FMEA is often sufficient and less resource-intensive to complete and maintain.
Related terms
Failure Mode and Effects Analysis (FMEA)
Failure mode and effects analysis is a systematic, proactive method for evaluating how equipment, components, or processes can fail, what the consequences of each failure mode are, and how critical each failure is relative to safety, operations, and cost. The analysis assigns a Risk Priority Number (RPN) to each failure mode based on three factors: severity of the effect, likelihood of occurrence, and detectability before the failure reaches the end user or causes harm. FMEA was originally developed in the aerospace and defence industries and is now widely used in manufacturing, mining, oil and gas, utilities, and fleet maintenance. The output prioritises which failure modes demand immediate attention through design changes, additional inspections, or targeted preventive maintenance tasks. An FMEA worksheet typically lists every component and its potential failure modes in a structured table, making it straightforward to review, update, and share across engineering and maintenance teams as operating conditions or asset configurations change over time.
Criticality Analysis
Criticality analysis is a systematic process for assessing and ranking assets according to the consequences and likelihood of their failure. Each asset is scored against factors such as safety impact, production loss, repair cost, environmental risk, and failure frequency. The resulting criticality ranking guides where to concentrate maintenance strategy, condition monitoring, and spare parts investment.
Reliability-Centred Maintenance (RCM)
Reliability-Centred Maintenance (RCM) is a structured methodology for determining the most effective maintenance strategy for each asset based on its function, failure modes, failure consequences, and operating context. RCM analyses what each asset must do, how it can fail, what happens when it fails, and what can be done to prevent or manage each failure. The output is a tailored mix of preventive, predictive, condition-based, and run-to-failure strategies.
Risk Assessment
A risk assessment is a systematic process of identifying hazards, evaluating the likelihood and severity of harm, and determining appropriate control measures to reduce risk to an acceptable level. It follows the hierarchy of controls (elimination, substitution, engineering controls, administrative controls, PPE) and produces a documented record of identified risks and the measures taken to manage them.
Predictive Maintenance
Predictive maintenance (PdM) uses real-time data from sensors, IoT devices, and analytics to forecast when an asset is likely to fail, enabling maintenance to be performed just before a breakdown occurs. Techniques include vibration analysis, oil analysis, thermal imaging, and machine-learning models trained on historical failure data. It represents the most advanced tier of proactive maintenance strategies.
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