Group Project: Implementing Predictive Maintenance in a Production Line$5.$ Detailed System Specifications:

a$.$ System Architecture:

Explanation:

Describe the overall architecture of the predictive maintenance system, including:

Data Acquisition Layer: Define the sensors and data collection methods used to gather data from the target equipment.

Data Preprocessing Layer: Explain how the collected data will be cleaned, filtered, and processed for model training and analysis.

Model Development Layer: Specify the chosen predictive model algorithm $($e$.$g$.,$ machine learning, statistical$)$ and its training process.

Monitoring and Analysis Layer: Outline how the system will monitor real$-$time data, detect anomalies, and generate predictions.

Alert and Notification Layer: Define the communication channels and protocols used to alert maintenance personnel about predicted failures.

Integration Layer: Describe any integrations with existing maintenance systems or dashboards.

b$.$ System Block Diagram:

Provide a block diagram that illustrates the system architecture. This need to demonstrate how information and data move across the various parts of the system