Open Model Library

Condition Based Maintenance Demonstrator

It is composed by two models. 1) Create the data-driven performance models 2) alarms by comparing the performance model and the working point

Documentation Code / Executable Back to Models
Base_line_generator.py & realtime_monitoring.py Model version
Fincantieri NexTech Developer organisation
Machinery Room Physical system
Yes Code available

Model Overview

Condition Based Maintenance Demonstrator

### Predictive Maintenance: - **Early Warning**: Detect parameter drift before failure - **Trend Analysis**: Identify gradual performance degradation - **Maintenance Scheduling**: Plan maintenance based on condition trends ### Operational Optimization: - **Performance Monitoring**: Track equipment efficiency - **Operating Point Analysis**: Optimize load points for best efficiency - **Fuel Consumption Monitoring**: Detect abnormal fuel usage patterns ### Safety Monitoring: - **Critical Alarms**: Immediate notification of dangerous conditions - **Temperature Monitoring**: Prevent overheating incidents - **Load Monitoring**: Prevent equipment overload

Purpose

Primary: It is composed by two models. 1) Create the data-driven performance models 2) alarms by comparing the performance model and the working point

Technical Scope

System Behaviour / Function
Condition Based-Maintenance

Model Characteristics