New Year Offer End Date: 30th April 2024
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Program

AI for Predictive Maintenance in Industrial IoT

Enabling Intelligent Asset Reliability through AI-Driven Predictive Maintenance in Industrial IoT

Skills you will gain:

About Program:

This workshop provides a comprehensive understanding of AI-driven predictive maintenance in Industrial IoT, focusing on data engineering, advanced machine learning models, and deployable edge intelligence to enhance reliability, reduce downtime, and optimize industrial operations

Aim: To equip participants with the knowledge and practical skills to implement AI-driven predictive maintenance strategies in Industrial IoT environments for improved reliability and efficiency.

Program Objectives:

  • To introduce AI and Industrial IoT concepts for predictive maintenance.

  • To understand sensor data collection and real-time monitoring.

  • To explore machine learning for fault and failure prediction.

  • To develop skills in industrial data analysis.

  • To demonstrate AI-based smart maintenance solutions.

  • To highlight applications for reducing downtime and improving efficiency.

What you will learn?

📅Day 1: Data Engineering & IIoT Signal Processing

  • Evolution from preventive to AI-driven predictive maintenance
  • Industrial data acquisition and sensor fusion
  • Feature extraction using FFT and Wavelet Transform
  • Hands-on: Digital Signal Processing for Fault Detection

📅Day 2: Deep Learning for RUL Estimation

  • RNNs, LSTMs, and GRUs for degradation modeling
  • Remaining Useful Life (RUL) prediction
  • Transformer-based attention mechanisms
  • Hands-on: Predictive Modeling with LSTM Networks

📅Day 3: Edge AI, Optimization & Explainability

  • Edge computing and TinyML deployment
  • Unsupervised anomaly detection with Autoencoders and Isolation Forests
  • Explainable AI using SHAP and LIME
  • Hands-on: Unsupervised Fault Detection & XAI

Mentor Profile

Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

2024Certfiacte

Intended For :

  • ndustry professionals in IIoT and smart manufacturing

  • Maintenance and reliability engineers

  • AI/ML and data science professionals

  • IoT and embedded systems developers

  • Researchers, academicians, and PhD scholars

  • Students in AI, IoT, electronics, and related fields

Career Supporting Skills

Program Outcomes

  • Ability to understand and apply AI techniques for predictive maintenance.

  • Skills to analyze industrial IoT data for fault detection and prediction.

  • Knowledge of integrating AI models with IoT-based systems.

  • Capability to design data-driven maintenance strategies.

  • Improved decision-making for reducing downtime and enhancing efficiency.