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Centrifugal Pump PU-06

Asset 360 · Pump · Mill B
PU-06WARNINGCriticality BPump AI-flagged
Manufacturer
Garuda Fluid
Model
FSA-100
Location
Mill B · Clarification
Commissioned
2022-07-23
Age
4 years
Operating hours
24,011 h
Utilization
83%
Availability (90 d)
95.6%
MTBF / MTTR
1,719 h / 4.6 h
Replacement cost
Rp 224.0 m
Sensors
vibration, current, pressure, temperature
Region
Kalimantan
68/100
Health score

Predictive maintenance

Asset Failure Prediction v3.2 · gradient-boosted survival model on IoT, SCADA and CMMS history · refreshed 06:52

Confidence87%
Health score
68/100
Failure probability
51%7 days
Remaining useful life
17days
Anomaly score
0.690–1
Likely cause
Cavitation signature — suction pressure drop
Recommendation
Check suction strainer and NPSH; monitor daily
What the model sees
Confidence87%
Cavitation signature — suction pressure drop. Failure probability 51% over 7 days and RUL ≈ 17 days. Check suction strainer and NPSH; monitor daily.
Why this prediction — top drivers (pp of failure probability)
Baseline failure rate for class ≈ 12% · bars push probability up or down
Vibration RMS trend
+20 pp
Motor current / load
+12 pp
Pressure variation
+8.0 pp
Temperature deviation
+4.7 pp
Age / operating hours
+1.0 pp
Recent preventive maintenance
−4.0 pp
◀ lowers predictionraises ▶

Sensor trends & failure forecast

60-day history (daily) · dashed = model forecast · anomaly began 14 Sep

Vibration · mm/s RMS
Warning 4.5 · Alarm 7.1 mm/s RMS

Maintenance Decision Intelligence

Weighs failure probability, criticality, downtime impact, repair vs replacement cost, spare availability and production schedule

Decision inputs
Failure probability (7 d)51%
CriticalityClass B
Downtime impactRp 165 m / h
Planned repair costRp 7 m
Replacement costRp 224.0 m
Spare availabilityIMP-PU-150: in local store
Production schedulePeak crop · next shutdown Sun
Option suitability
Schedule maintenance90
Fits next planned shutdown; balances risk and production
Monitor42
Risk too high to run without intervention
Replace component36
No single failing component identified
Replace asset11
Health 68/100 and age 4 yrs do not justify capex
Repair now8
Stops the line during peak crop — restan and emergency premium
Scenario comparison
OPTION A
Repair immediately
Stop line now, replace component using emergency transfer
Failure risk2%
Expected costRp 423 m
Planned downtime4 h

Lowest risk, but interrupts peak-intake processing and creates restan.

Recommended
OPTION B
Repair in low-production window
Replace at next planned shutdown
Failure risk18%
Expected costRp 86 m
Planned downtime4 h

Recommended — balances failure risk against production loss at the next planned shutdown.

OPTION C
Continue monitoring
Run to next scheduled shutdown (14 days)
Failure risk51%
Expected costRp 373 m
Planned downtime0 h

Expected cost dominated by probability-weighted unplanned outage.

Recommendation: Schedule maintenance
Confidence80%
Check suction strainer and NPSH; monitor daily. Option B expected cost Rp 86 m vs Rp 373 m if left to run; residual risk 18%.
Estimated impact based on synthetic scenario assumptions. Recommendation requires validation by the Maintenance Manager.

Spare parts availability

Key parts for PU-06 across the warehouse network · home store WH-02

Cross-module: Inventory AI
IMP-PU-150 · Pump impeller 150 mm
Lead time 30 d · Rp 8.2 m/pcs · 30-d demand 0.8
4 in home store
WH-02 · Mill B (home)
4 pcs · SS 1
WH-01 · Mill A
4 pcs · SS 1
SEAL-MECH-45 · Mechanical seal 45 mm
Lead time 14 d · Rp 3.9 m/pcs · 30-d demand 2
3 in home store
WH-02 · Mill B (home)
3 pcs · SS 1
WH-01 · Mill A
7 pcs · SS 1
BR-6308 · Bearing 6308-2Z (pumps)
Lead time 14 d · Rp 1.3 m/pcs · 30-d demand 4.3
12 in home store
WH-02 · Mill B (home)
12 pcs · SS 2
WH-01 · Mill A
10 pcs · SS 2
Open Spare Parts Intelligence

Maintenance records

CMMS history, open work orders, failure events and spares

Work orderTypeDescriptionCreatedDueTechnicianCostStatus
WO-4299PredictiveAI-flagged: Cavitation signature2026-09-282026-09-30Unassigned—Open
Synthetic asset data and simulated model output. Maintenance recommendations are decision support requiring validation by qualified personnel.
V-TEKI — IT & Business ConsultingDeveloped by V-TEKI · IT & Business ConsultingPrime Agri AI Intelligence Platform — prototype. All operational records are synthetic; model outputs are simulated; financial impacts are scenario estimates; recommendations require human validation. No actual company confidential data is used.