RM

Maintenance / Reliability

Reliability engineering

Bad actors, Pareto, Weibull, criticality matrix and AI-drafted root cause analysis from work orders, telemetry and technician notes.

Availability

94.2%

Failure rate

0.0031/hr

Bad actors

4

Open RCAs

6

2 AI-drafted

Failure Pareto

Last 12 months

Bad actor register

TagAssetFailuresDowntime (h)CostMTBF (h)
P-402Crude Transfer Pump342$28,000168
C-201Gas Export Compressor236$92,000402
ESP-W143ESP Well W-143251$61,000220
V-118Inlet Control Valve412$9,40096
WARN Reliability AgentAI-3374

Bad actor — Pump P-402 failed 3 times in 6 months

P-402 · Terminal East

Confidence

79%

ImpactRepair spend $28K · availability −1.4%

Probable causes

  • Seal flush plan inadequate for service
  • Repeated dry-run events on start-up
  • Misalignment recorded twice

Recommended actions

  • Open RCA with reliability engineer
  • Revise API plan 11 to plan 32
  • Add start-up interlock
  • Laser alignment on next PM

Data analysed

  • 3 work orders
  • Technician notes
  • Operating condition history
  • Spare parts consumption
Governance: human approval required for safety-critical execution

Reliability data upload

Failure history — MTBF, downtime and cost per tag

Drop a CSV export here, or use Upload data

Expected columns: tag, asset, failure_mode, date, failures, downtime_hours, repair_cost, mtbf_hours

Files are parsed in your browser — nothing leaves this session.

Chat with this datano file uploaded

Ask questions about your reliability dataset — trends, outliers, cost drivers, next actions.