OPEN RAIL CORPUS v1 · FMLA SHOWCASE

Failure Mode Ledger Account

Each failure mode is a ledger account. Debit: what it costs you. Credit: what your maintenance reduces. Balance: your residual exposure. One wagon, six accounts, live.

Every asset manager can name the failure modes of their fleet. Nobody can tell you, in a single number, what residual exposure each one carries after the maintenance programme has done its work. That number does not exist in SAP, Oracle, or Maximo today — not because it cannot be computed, but because nobody assigned each failure mode a persistent accounting object in which to carry the computation.

The Failure Mode Ledger Account (FMLA) is that object. It applies Pacioli's double-entry principle to reliability engineering: liability side (consequence), mitigation side (task), balance (residual exposure). Five economic KPIs fall out of the two sides.

The five KPIs

AH — ANNUAL HOURS
duration × manpower × freq/yr
Labour obligation this failure mode imposes each year.
CW — CONSEQUENCE WEIGHT
severity × likelihood × class
Economic exposure before any mitigation is applied.
TE — TASK EFFECTIVENESS
base × P-F × spare
Fraction of CW the maintenance task actually removes.
FME-x · RESIDUAL EXPOSURE
CW × (1 − TE) × 10
The balance. The number management drives toward zero.
MER — MAINTENANCE EFFICIENCY
TE / (AH_norm + 0.1)
Effectiveness per hour of labour expended.

Live ledger — Sggmrs(s) 90′ container wagon

Six failure modes drawn from the Swiss Federal Office of Transport Fehlerkatalog (BAV-FK-V18-2026, currently in force). Codes, descriptions, severity classes and detection guidance are regulatory; the accounting layer on top — likelihood, task parameters, TE base coefficients — is what Kerne adds.

Click any row to see the computation and citation. Click a column header to sort.

BAV code Failure mode Sev Lik Task AH CW TE FME-x MER Verdict
∑ FME-x · wagon (6 FM)
274.4
Average MER
2.9
TOP flags
1
WATCH flags
3
∑ FME-x · fleet(6 FM × 6 000 Sggmrs)
1 646 400
The point

This is one wagon. A wagon keeper holding approximately 6 000 Sggmrs-class container wagons in European service. Multiply. Sum FME-x across the fleet. That number — the portfolio residual exposure — is what a reinsurer prices, what a lessor carries on their books at handover, and what an asset manager is accountable to reduce.

It does not exist in any maintenance system on the market today. Not because the data is unavailable — it is right there, in the BAV catalog and the maintenance plan — but because no system has ever given each failure mode its own accounting object in which to carry the balance.

Fork-and-Transfer

ISO 55001:2014 §8.1.5 — Ownership transfer When a wagon changes hands, today's lessor hands over a spreadsheet of last-inspection dates. Under FMLA, the full Asset Management Corpus transfers: every failure mode account in running state, with its complete measurement and task history. The buyer opens a book; the seller keeps a read-only fork. Maintenance history stops being a PDF in an archive and becomes a machine-readable, auditable, portable accounting record.

Try it yourself

The same data served live via the corpus API:

curl -s "https://kerne.systems/corpus/transport/rail/v1/api.php?scenario=a&chapter=3&risk=Critical" \
  | jq -r '.failure_modes[] | "\(.rds_component)  \(.failure_mode)"'

Returns the four Critical brake failure modes from the BAV catalog. The FMLA computation is applied on top of this regulatory foundation.

Source BAV-FK-V18-2026 Entity ASSET-f1832bcabf20 “Failure-Mode Economics” (pat. pend.) Back to corpus /corpus/transport/rail/v1/