NCM Solutions

Predictive Analytics 


Predictive Condition Monitoring and Predictive Maintenance

 

Predictive condition monitoring and predictive maintenance represent a revolution in the management of infrastructure and transport vehicles. These technologies use advanced sensors and machine learning algorithms to monitor the condition of vehicles and machinery in real time, predict potential failures, and schedule maintenance before serious problems occur.

Predictive maintenance relies on the continuous analysis of data collected from sensors installed on various vehicle components, such as engines, brakes, and suspension systems. This data is analyzed to identify patterns that indicate wear or anomalies. By predicting failures before they happen, transport companies can reduce vehicle downtime, minimize repair costs, and improve overall safety. Additionally, the ability to maintain vehicles in optimal condition extends their lifespan and enhances the quality of service offered to passengers.

 

1. Study of the domain:

Identification of the assets, study of their functioning and composition.

2. Acquisition of data:

Acquisition, classification and cleaning of historical data as a training dataset to train the network.

3. Data Processing:

Statistical study and data processing

4. ANN training:

Training period of the artificial neural network

5. Go-Live:

Direct connection to the assets for online acquisition of new values, forecasts and alarms in the event of potential failures.


Become an NCM Partner 

 

ANY DEVICE

 

 
ARTIFICIAL INTELLIGENCE

 

 
PREDICTIVE MAINTENANCE ALARMS

 

 
AVOID FAILURES AND ACCIDENTS

 

 
NCM

Interested in a Predictive Maintenance project?

 

Contact us! 

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