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DSTC-01696 Online (e-LMS) Graduate / Intermediate

AI for Predictive Maintenance in Industrial IoT

by - DSTC

Prevent downtime with AI predictive maintenance in Industrial IoT.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 3 Days Β· 4.5 hrs β€’ e-Certificate Included
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From β‚Ή2,500 + GST

πŸ“š Syllabus & Course Curriculum

Data Science & Analytics

Module-by-module breakdown of AI for Predictive Maintenance in Industrial IoT, from foundations to a certified capstone project.

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Instrumentation

β€’ Vibration, acoustic, thermal and current signature sensing, and what each detects
β€’ Sensor placement, mounting and the sampling rates faults actually require
β€’ Industrial protocols: OPC UA, Modbus and the realities of brownfield plants

Edge

β€’ Edge versus cloud processing under bandwidth and latency constraints
β€’ Time-series storage, compression and retention for high-rate signals
β€’ Time synchronisation across assets, without which correlation is meaningless

Diagnostics

β€’ Spectral analysis, envelope detection and bearing fault frequencies
β€’ Condition indicators and thresholds grounded in machinery standards
β€’ Anomaly detection where labelled failures are scarce or absent

Prognostics

β€’ Degradation modelling and RUL estimation with calibrated uncertainty
β€’ Run-to-failure data scarcity and using survival analysis with censored records
β€’ Translating a probability of failure into a maintenance decision

Operations

β€’ CMMS integration so predictions become scheduled work orders
β€’ Operator trust, false alarms and the cost of an unnecessary shutdown
β€’ Measuring benefit in avoided downtime rather than model accuracy

Earn government-registered certification in AI for Predictive Maintenance in Industrial IoT

e-Certificate and e-Marksheet issued on successful completion.

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Scholar Registration

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