Predictive maintenance in industrial IoT

We are Telefónica Tech

Solutions

Industries

Success Stories

ESG

News

Industry 4.0 solutions and services

Predictive Maintenance

Your ally to prevent failures and ensure maximum performance

Predictive Maintenance allows for anticipating equipment failures in industrial settings through constant monitoring of their condition

Download brochure

By using advanced sensors and artificial intelligence algorithms, anomalies are detected before they cause unexpected downtimes, thus reducing idle time and extending the lifespan of assets. All information is processed in real time, enabling preventive actions and improving operational efficiency.

This technology helps reduce maintenance costs by intervening only when necessary, avoiding unnecessary work. Additionally, integration with existing IT and OT systems ensures a seamless deployment, optimizing productivity and increasing safety in the workplace.

Our value proposition

Our solution

We combine advanced technology and real-time analysis to anticipate failures, reducing downtime and maintenance costs. Our solution integrates with existing systems, improving productivity and safety, with a smooth implementation and continuous support.

What does it allow?

Monitor the health status of critical assets, automate their diagnosis and the identification of diagnosed failures, manage alarms and statistics.
Detect anomalies: An unsupervised ML algorithm runs a complex analysis considering all the desired variables, detects anomalies, and identifies operating modes (anomaly explainability).
Classify anomalies: An ML algorithm based on the distributions of the analyzed data, which highlights how critical and/or common the interaction between the different variables is, with the aim of providing explainability to the results presented by the unsupervised model.
Predict anomalies: A DL model for predicting future values.

BENEFITS FOR YOUR COMPANY

Increased performance and productivity

Anticipating failures minimizes unexpected downtimes, optimizing operation time and increasing equipment performance

Cost and resource optimization

Reducing unnecessary interventions and improving energy efficiency leads to significant savings in maintenance and operating costs.

Greater asset durability

Continuous monitoring allows the detection of incipient failures, extending the lifespan of assets by reducing wear and breakdowns.

Improved workplace safety

Fewer breakdowns and fewer manual interventions reduce the risk of accidents, creating a safer work environment.

OUR DIFERENTIAL VALUE

We use Machine Learning to detect anomalies with explainability and expert knowledge tailored to client needs.
We ensure client data ownership with customizable platforms for visualization and analysis by professional profiles.
We integrate sensors, IT systems, and validate IoT solutions in TheThinX, ensuring reliability and fast response.