IoT-Based Industrial Equipment Failure Prediction Platform
Plag ProIndustrial IotProject Objectives:
Develop an analytics system that processes IoT sensor data to predict industrial equipment failures. The platform will enhance maintenance planning and reduce downtime through predictive maintenance models.
Project Tasks:
Collect IoT sensor datasets.
Clean and preprocess time-series data.
Identify patterns indicating equipment degradation.
Implement predictive models such as LSTM.
Evaluate prediction accuracy.
Visualize equipment health metrics.
Create alert mechanisms for failures.
Optimize real-time data processing.
Conduct system testing.
Document predictive maintenance insights.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Time-Series Data AnalysisIot Architecture & Sensor Data HandlingDeep Learning For Predictive MaintenanceReal-Time Data Streaming & ProcessingData Visualization & Alert Systems
