MechLens

🏭 Industrial Data Classification using Stacked Transformer

🔍 Introduction

This project implements a Stacked Transformer-based Model for classifying industrial machine efficiency based on real-time operational metrics. The model utilizes multi-head self-attention to analyze time-series data, helping in predictive maintenance and efficiency analysis.

---

📌 Application

• Predictive Maintenance: Identifies patterns in machine performance to prevent failures
• Operational Optimization: Helps industries improve efficiency based on real-time data
• Anomaly Detection: Detects irregular behavior in industrial machines

---

🚀 Model Architecture

1. Stacked Transformer Model

• Embedding Layer: Projects input features to higher-dimensional space
• Transformer Blocks:
  • Multi-head self-attention
  • Feedforward layers with ReLU activation
  • Layer normalization and dropout for stability
• Output Layer: Predicts the efficiency status (Low, Medium, High)

---