FRACAS stands for Failure Reporting, Analysis, and Corrective Action System. It is a closed-loop process, often software-backed, for capturing every failure, analyzing why it happened, correcting the root cause, and verifying the fix worked before the case is closed. The emphasis on the word system is deliberate: it runs continuously across the whole asset base, not as a one-off investigation.

What is the difference between FRACAS and root cause analysis?

FRACAS is the standing system that processes every failure; root cause analysis is a technique used inside it at the analyze stage to find why one failure happened. You run a FRACAS continuously, and you run an RCA on individual failures when they are worth that depth. FRACAS is the container, RCA is one of the tools it uses.

Why does a FRACAS have to be closed-loop?

Because an unverified fix is only a hope. In an open loop a failure is reported and repaired but no one confirms the repair addressed the root cause or that it held, so the failure recurs and the data never accumulates into a pattern. A closed loop forces root-cause analysis before the fix and verification after it, which is what actually drives failures down over time.

What standards define FRACAS?

The U.S. Department of Defense formalized it in MIL-STD-2155 in 1985, later converted to MIL-HDBK-2155 in 1995. The modern reliability program standard TA/GEIA-STD-0009 carries the closed-loop FRACAS expectation into current practice, and the failure-analysis methodology behind the analyze stage is defined internationally in IEC 60812.

How does FRACAS improve MTBF?

By eliminating root causes instead of repeating repairs. Recurring failures are what drag down mean time between failures, so as a FRACAS closes each failure mode for good, MTBF rises and MTTR falls. Tracking repeat-failure rate alongside MTBF reveals whether cases are truly closing on verified root-cause elimination or just on repair.

Is FRACAS only for the military or aerospace?

No. FRACAS originated in military reliability standards, but the logic applies to any plant that runs equipment and wants it to break down less. The standards simply document what disciplined maintenance organizations do anyway: report every failure, analyze it, fix the cause, and prove the fix before closing the case.

FRACAS: Failure Reporting and Corrective Action

Q: What are the stages of a FRACAS?

Five stages run in order for every failure: report the failure with full detail, classify and triage it by severity, analyze the root cause, implement a corrective action with an owner, then verify the action worked and only then close the case. Verification is the stage that separates a real FRACAS from an ordinary work-order log.

The closed-loop system for capturing, analyzing, correcting, and verifying failures so equipment breaks down less over time instead of failing the same way twice.

FRACAS, Failure Reporting, Analysis, and Corrective Action System, is a closed-loop process for capturing every failure, finding out why it happened, fixing the root cause, and verifying the fix worked before the case is closed. It turns scattered breakdowns into a disciplined feedback loop that makes equipment measurably more reliable over time instead of failing the same way twice.

Most plants already report failures. Someone writes a work order, the machine gets fixed, everyone moves on. That is not a FRACAS. A FRACAS is what happens when the loop closes: the failure is analyzed, the root cause is corrected, and the fix is proven before anyone signs off. The difference between reporting failures and running a FRACAS is the difference between a plant that keeps having the same breakdowns and one that stops having them.

What is FRACAS?

FRACAS is a structured system, often software-backed, that provides a repeatable process for reporting failures, classifying and analyzing them, and planning, implementing, and verifying corrective actions. The term comes from the reliability engineering world, where it has been formal practice since the U.S. military standardized it in the 1980s, but the logic applies to any plant that runs equipment and wants it to break down less.

The heart of it is the word "system." A one-off investigation is not a FRACAS. A FRACAS is the standing machinery that guarantees every significant failure gets the same treatment: captured, analyzed, corrected, verified, and closed, with the data retained so patterns become visible across the whole asset base. It is the operational engine underneath a serious equipment reliability program.

Why does the loop have to close?

The loop has to close because an unverified fix is just a hope, and an open loop lets the same failure come back. In an open process, a failure is reported and repaired but no one confirms the repair addressed the root cause or that it actually held. The failure recurs, the data never accumulates into a pattern, and the plant learns nothing.

A closed loop forces two things the open one skips: root-cause analysis before the fix, and verification after it. Verification is the step almost everyone drops. Replacing a failed bearing is a repair; confirming that the misalignment which killed the bearing is gone, and that bearings on that machine now last as long as they should, is a closed loop. Until that verification exists, the case stays open.

An open loop repairs and moves on, so failures recur. A closed FRACAS loop refuses to close a case until the corrective action is verified, which is the step that actually drives failures down.

What are the stages of a FRACAS?

A FRACAS runs the same five stages for every failure, in order. The discipline is doing all five every time, not skipping to the repair.

Report the failure. Capture the event at the moment it happens: what failed, when, the operating conditions, symptoms, and any downtime. A good report is specific and timestamped, not "pump broke." This is the raw data everything else depends on.
Classify and triage. Sort the failure by asset, failure mode, and severity. Triage decides how deep the analysis goes, a minor nuisance and a safety-critical failure do not get the same effort. Severity here mirrors the logic of an FMEA.
Analyze the root cause. Find why it failed, not just what failed. Use root cause analysis the five whys or a fault tree for complex events. The repair fixes the symptom; this stage finds the cause you actually have to eliminate.
Implement corrective action. Fix the root cause and assign an owner and a due date. The action might be a design change, a procedure change, a spare-part change, or a new inspection on the preventive maintenance schedule. An action with no owner is not an action.
Verify and close. Confirm the corrective action was implemented and that it worked, the failure mode does not recur and the metrics move in the right direction. Only then does the case close. This is the stage that separates a FRACAS from a work-order log.

The five stages of a FRACAS. The feedback arrow is the point: verified outcomes accumulate into a failure history that makes the next analysis faster and the equipment steadily more reliable.

What goes in a good failure report?

The whole system is only as good as the data captured at stage one, so a failure report needs enough detail to analyze later without the technician writing a novel. Capture the asset ID, the date and time, the operating conditions at failure, the observed symptoms, the immediate action taken, and the resulting downtime.

The two fields most often missing are operating conditions and failure mode. "Motor tripped" is a symptom; "motor tripped on overload while starting under full load after a wet-season shutdown" is analyzable. Structured failure-mode coding, tying each report to a defined mode like the ones in our bearing failure modes and corrosion references, is what lets you later see that six "random" failures were the same mode.

How is FRACAS different from RCA, CAPA, and 8D?

FRACAS is the system; RCA, CAPA, and 8D are tools that plug into it. The confusion is common, so it is worth being precise.

Method	What it is	Relationship to FRACAS
FRACAS	A standing closed-loop system for all failures across the asset base	The container: the process and database that runs continuously
Root cause analysis	A technique for finding why one failure happened	Used inside FRACAS at the analyze stage
CAPA	A corrective-and-preventive-action workflow, common in quality systems	Overlaps the correct-and-verify stages; often the same engine
8D	An eight-discipline problem-solving report for a single major problem	A structured way to run one FRACAS investigation end to end

FRACAS is the system that never stops; RCA, CAPA, and 8D are methods you run inside it for individual failures. A plant needs both the container and the tools.

The practical distinction: you do not "do a FRACAS" on one breakdown the way you do a single RCA. You run a FRACAS all the time, and every failure passes through it, using RCA or 8D for the analysis when the failure is worth that depth. Findings that need formal corrective and preventive action route into CAPA.

What metrics does a FRACAS drive?

A working FRACAS shows up in the reliability numbers. As root causes get eliminated instead of repeated, mean time between failures rises and mean time to repair falls, because recurring failures are the ones that eat both.

Track MTBF and MTTR by asset and by failure mode, and watch repeat-failure rate, the share of failures that are a recurrence of a previously "closed" mode. A high repeat rate is the signature of an open loop masquerading as a closed one: cases are being closed on repair, not on verified root-cause elimination. The FRACAS data also feeds directly into predictive and condition-based maintenance decisions, because the failure modes that recur most are the ones worth monitoring.

Illustrative reliability growth. In a real FRACAS the MTBF line climbs as each verified corrective action removes a recurring failure; a flat line is the tell that the loop is not truly closing.

Where did FRACAS come from, and what are the standards?

FRACAS is a codified discipline with a documented lineage, which is why it is worth treating as a system rather than a habit.

The U.S. Department of Defense formalized the process in MIL-STD-2155 (1985), which established uniform requirements for a Failure Reporting, Analysis, and Corrective Action System to satisfy the FRACAS requirement of MIL-STD-785; it was later converted to MIL-HDBK-2155 in 1995 (MIL-STD-2155 on EverySpec).
The modern successor for reliability program requirements is TA/GEIA-STD-0009 "Reliability Program Standard for Systems Design, Development, and Manufacturing," which carries the closed-loop FRACAS expectation into current practice (GEIA-STD-0009 (SAE)).
The reliability-engineering methodology behind the analysis stage, FMEA and FMECA, is defined internationally in IEC 60812 the reference maintenance teams cite for structured failure analysis (IEC 60812).

You do not need a defense contract to use it. The standards simply document what disciplined plants do anyway: report every failure, analyze it, fix the cause, and prove the fix before you close.

Where do the records live?

A FRACAS is a data-retention problem first and a process problem second. The value compounds only if failure reports, analyses, and verified outcomes accumulate in one searchable place tied to the asset, so that when a pump fails, the technician can see the last four times it failed, what the root cause was, and whether the fix held. When that history lives in paper work orders and email threads, the loop is open no matter how good the intentions.

Harmony's role is to keep the loop closed where it usually breaks: capture the failure report at the asset, hold the analysis and corrective action against the equipment's history, and surface the repeat-failure trend instead of burying it. It layers onto the systems a plant already runs. No rip-and-replace. The CLS case study shows the move from paper records to real-time capture, and the platform overview shows how the pieces connect. A FRACAS only pays off if the records outlive the people who filed them; keeping that history alive is the whole game.