TB-01MAINTENANCECriticality ATurbine
Manufacturer
Andalas Power
Model
BPT-2400
Location
Mill A · Utilities
Commissioned
2011-03-05
Age
15 years
Operating hours
83,876 h
Utilization
86%
Availability (90 d)
91.5%
MTBF / MTTR
4,913 h / 6.5 h
Replacement cost
Rp 13.11 bn
Sensors
vibration, rpm, temperature, oilCondition
Region
Sumatra
Health score
Predictive maintenance
Asset Failure Prediction v3.2 · gradient-boosted survival model on IoT, SCADA and CMMS history · refreshed 06:52
Confidence83%
Health score
84/100
Failure probability
8%7 days
Remaining useful life
120days
Anomaly score
0.150–1
Likely cause
Planned overhaul — governor calibration
Recommendation
Return to service after calibration test
What the model sees
Confidence83%All monitored signals are within normal bands. Failure probability 8% over 7 days; continue condition monitoring and scheduled PM.
Why this prediction — top drivers (pp of failure probability)
Baseline failure rate for class ≈ 12% · bars push probability up or down
Age / operating hours
+3.8 pp
Vibration RMS trend
+1.7 pp
Speed deviation
+1.0 pp
Temperature deviation
+0.7 pp
Oil condition index
+0.4 pp
Recent preventive maintenance
−2.0 pp
◀ lowers predictionraises ▶
Sensor trends & failure forecast
60-day history (daily) · dashed = model forecast
Vibration · mm/s RMS
Warning 4.5 · Alarm 7.1 mm/s RMS
No degradation trend — forecast shown only when the model detects a trajectory toward the failure threshold.
Maintenance Decision Intelligence
Weighs failure probability, criticality, downtime impact, repair vs replacement cost, spare availability and production schedule
Decision inputs
Failure probability (7 d)8%
CriticalityClass A · production-critical
Downtime impactRp 165 m / h
Planned repair costRp 393 m
Replacement costRp 13.11 bn
Spare availabilityBR-TB-7318: not in stock — procure
Production schedulePeak crop · next shutdown Sun
Option suitability
Monitor82
Failure risk low; condition monitoring sufficient
Schedule maintenance41
Fits next planned shutdown; balances risk and production
Replace asset31
Health 84/100 and age 15 yrs do not justify capex
Repair now2
Stops the line during peak crop — restan and emergency premium
Replace component2
No single failing component identified
Scenario comparison
OPTION A
Repair immediately
Stop line now, replace component using emergency transfer
Failure risk2%
Expected costRp 809 m
Planned downtime4 h
Lowest risk, but interrupts peak-intake processing and creates restan.
OPTION B
Repair in low-production window
Replace at next planned shutdown
Failure risk3%
Expected costRp 472 m
Planned downtime4 h
Balances failure risk against production loss at the next planned shutdown.
Recommended
OPTION C
Continue monitoring
Run to next scheduled shutdown (14 days)
Failure risk8%
Expected costRp 204 m
Planned downtime0 h
Recommended — risk is low; keep condition monitoring and standard PM.
Recommendation: Monitor
Confidence80%Return to service after calibration test. Option C expected cost Rp 204 m vs Rp 204 m if left to run; residual risk 8%.
Spare parts availability
Key parts for TB-01 across the warehouse network · home store WH-01
Cross-module: Inventory AI
BR-TB-7318 · BR-TB-7318
Lead time 14 d · Rp 0/pcs
Not stocked — procured on demand.
GOV-TB-1 · GOV-TB-1
Lead time 14 d · Rp 0/pcs
Not stocked — procured on demand.
Maintenance records
CMMS history, open work orders, failure events and spares
| Work order | Type | Description | Created | Due | Technician | Cost | Status |
|---|---|---|---|---|---|---|---|
| WO-4181 | Preventive | Planned overhaul — governor calibration | 2026-09-27 | 2026-09-29 | Joko T. | Rp 22.0 m | In Progress |