Condition Based Maintenance Demonstrator

Model Name

Primary Purpose Of Model

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

Version History

Base_line_generator.py & realtime_monitoring.py

Developer Organisation

Fincantieri NexTech

Model Description

### 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

Link To Documentation

https://inlecomsystems.sharepoint.com/:t:/r/sites/DT4GSproject/Shared%20Documents/WP1%20models/Fincantieri%20NXT/Condition%20Based%20Maintenance%20Demonstrator/monitoring_system_io.md?csf=1&web=1&e=OlTsnp

Physical System Targeted

Machinery Room

System Behaviour Or Function Targeted

Condition Based-Maintenance

Model Executable Files Location

https://inlecomsystems.sharepoint.com/:f:/r/sites/DT4GSproject/Shared%20Documents/WP1%20models/Fincantieri%20NXT/Condition%20Based%20Maintenance%20Demonstrator?csf=1&web=1&e=AQzl19

📄 No documentation provided

📦 No code file provided