NCM

NCM Solutions

Predictive Maintenance

Predictive maintenance on assets and plants to avoid failures and accidents

Predictive Maintenance is a concrete application of our Artificial Intelligence and Deep Learning techniques in the field of Manufacturing and one of the main topics of discussion when it comes to Industry 4.0. Monitor asset health in real time and predict its future behavior, anticipating possible failures and accidents.

Our solutions, based on ANN, previously trained on a large amount of data collected from the field, allows you to predict imminent failures. A dashboard for Predictive Analysis summarizes operational data, informing process and maintenance engineers of the potential problem in advance and implementing the appropriate corrective actions.

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.

Remote Maintenance.

Industry 4.0 servitization

Our predictive maintenance solutions open up new opportunities not only to machine users but also to manufacturers. It revolutionizes the relationship between machine manufacturers and their customers and creates new business opportunities, focused on providing not only the goods but a high added-value service as well.

The AI and IoT technologies present in our solutions allow you to predict possible malfunctions in advance and remotely intervene to change the settings, even before the customer notices. The machine need not be moved, and the technician need not carry out an inspection. With this model the supply of services included with the product increases, loyalty increases and the perspective of servitization opens:

NCM Solutions

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.

Avoid failures and breakages

Reduce maintenance costs

Maximize asset performance and efficiency

ANY DEVICE

ARTIFICIAL INTELLIGENCE

PREDICTIVE MAINTENANCE ALARMS

AVOID FAILURES AND ACCIDENTS

Interested in a Predictive Maintenance project?

NCM Solutions

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.

Avoid failures and breakages

Reduce maintenance costs

Maximize asset performance and efficiency

ANY DEVICE

ARTIFICIAL INTELLIGENCE

PREDICTIVE MAINTENANCE ALARMS

AVOID FAILURES AND ACCIDENTS

NCM

Interested in a Predictive Maintenance project?

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