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SemiconductorsChip-MakingEcosystemCrystalBand TheoryPN Junctions
Shankar Pandala
Curriculum
The Equipment Downtime ProblemSensor Data & Feature EngineeringML Models for PdMDeployment & Operations
All Subjects
Phase 5: AI/ML in SemiconductorsSubject 16

Predictive Maintenance

Apply ML to predict equipment failures before they happen — reducing unplanned downtime and saving millions in fab operations.

Your Progress

0 of 4 chapters complete

Chapters

1

The Equipment Downtime Problem

Cost of unplanned downtime, PM vs PdM, and the sensor data landscape

2 sections
2

Sensor Data & Feature Engineering

Equipment traces, FDC data, time-series features, and health indicators

2 sections
3

ML Models for PdM

Survival analysis, anomaly detection, RUL estimation, and deep learning

2 sections
4

Deployment & Operations

Real-time inference, alert systems, maintenance scheduling, and ROI

1 section
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