Predictive maintenance | SEW-EURODRIVE

The maintenance of the future

Find out today what will happen tomorrow: with condition monitoring and predictive maintenance enabled by DriveRadar® and APPredict, components, machines, systems, and entire plants can be integrated into a digital network that transcends the boundaries of individual companies. This allows you to respond proactively to any changes.

What is predictive maintenance

Predictive maintenance represents a paradigm shift in the field of corporate asset management. Leveraging cutting-edge technologies such as artificial intelligence, the Internet of Things and machine learning, predictive maintenance allows companies to anticipate and prevent possible failures or malfunctions within their plant and machinery.

This proactive methodology is based on the collection and analysis of huge amounts of data from sensors and connected devices, which provide detailed information about the health and performance of assets. Machine learning algorithms process this data, identifying patterns and anomalies that may signal a potential problem.

This enables timely intervention, minimizing the risk of unexpected outages and reducing the costs associated with failures. In addition, predictive maintenance helps improve operational efficiency and workplace safety, as well as extending the useful life of assets.

In the digital age, adopting a predictive maintenance approach can be a key factor in maintaining and increasing competitive advantage.

How predictive maintenance works

Predictive maintenance is a sophisticated process that combines artificial intelligence, the Internet of Things, and machine learning to monitor and prevent potential problems in corporate assets. But how does this actually happen?

At the heart of the process is data collection. Sensors and IoT devices, installed on machinery and plants, continuously capture a wide range of information, from operational data to environmental conditions. This data is then transmitted to an analytics platform where, using machine learning, it is processed to detect patterns and anomalies. This deep analysis can highlight anticipatory signs of future failures, enabling preventive and targeted interventions. As machine learning algorithms continuously improve their predictive capabilities, they amplify the effectiveness of the system over time.

Analysis results are then presented on a user-friendly dashboard, providing maintenance teams with clear and timely information to make proactive decisions. In this way, predictive maintenance transforms asset management from a reactive to a proactive approach, improving efficiency, reducing costs, and also increasing the safety of the smart factory.

The benefits of predictive maintenance

1. Enhancement of operational efficiency
Enables maintenance operations to be scheduled by responding to the actual needs of machinery and equipment, minimizing downtime and enhancing productivity.
2. Lower maintenance costs
Anticipating possible failures prevents corrective maintenance interventions, which are often costly and time-consuming.
3. Extension of asset life
By monitoring the health and performance of assets, predictive maintenance can detect minor problems before they escalate, thus extending the life of machines and equipment.
4. Increased workplace safety
Predictive maintenance can identify potential problems that could pose a safety risk to workers.
5. Fostering data-driven decision making
Predictive maintenance provides a constant stream of real-time data that can be used to make informed decisions, improving the overall effectiveness of asset management.

Condition Based Monitoring and Predictive Maintenance with DriveRadar® and APPredict

DriveRadar®: perfect for new projects with SEW solutions

See more – act proactively — DriveRadar® IoT Suite for applications: condition monitoring in action!

DriveRadar® is an as-a-service software platform for comprehensive management of automation systems that supports:

Condition Monitoring (remote and on-site component health analysis)
Predictive Maintenance (prediction on possible future failures)
Asset Management (device recognition and mapping)
Commissioning of production machines and plants
Data Collection and Analytics

DriveRadar® can be implemented exclusively with SEW components.

DriveRadar® e MOVILINK® DDI | Abilita connettività e digitalizza — DriveRadar® and MOVILINK® DDI: connectivity and digitalization

This also includes the plug-in hybrid cable MOVILINK® DDI, a fully connected data interface that encapsulates multiple "cores" in a compact, efficient and flexible solution. The advantages offered by this innovative device are countless and concern both the purely operational side - from the downsizing of the cabling and plant, to the reduction of the time it takes to set up the machinery - and the more technological side.

> Visit the DriveRadar® web page

APPredict: ideal for components already installed in the plant

APPredict: predictive maintenance solution

APPredict is a web-based application that can be easily accessed via smartphone, tablet and PC, designed to monitor the health of the gearmotor and other components through vibration data and receive real-time and remote support.

Thanks to the quick installation of wireless sensors directly on the components (both SEW and 3rd party) and the user-friendly, intuitive interface, it's possible to:

monitor the health and wear of motors, gear units, fans, pumps, compressors, bearings
prevent faults
schedule maintenance operations only when necessary, so as to ensure the continuity of the plant