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Condition monitoring & predictive maintenance

Predictive maintenance, but also preliminary stages such as real-time condition monitoring, increase the availability of your products for customers and enable you to carry out better, faster and more efficient maintenance.

What is condition monitoring?

Predictive maintenance and real-time condition monitoring increase the availability of your products and enable faster and more efficient maintenance.

Based on complex analyses of the collected data, models are developed that predict probable failures. These predictive models make it possible to plan maintenance work more efficiently, resulting in more stable performance and increased customer satisfaction.

However, it is not only the final stage of a predictive maintenance system that brings major benefits, but also the various stages of condition monitoring. Dashboards allow you to keep an eye on the condition of your machines and products at all times. These dashboards allow you to analyze data in real time, identify patterns and improve your maintenance processes by defining threshold values and alerts. As a result, preventive maintenance measures can be initiated in good time before costly breakdowns occur.

Your advantages at a glance

  • Increased availability: real-time monitoring and predictive maintenance.

  • Increased efficiency : Optimized planning and execution of maintenance work.

  • Customer satisfaction : Stable performance and minimized downtimes.

  • Data-based decisions: Pattern recognition and data analysis for process improvement.

  • Flexibility : Use different levels of condition monitoring for your specific needs.

Our predictive maintenance and condition monitoring solutions provide you with comprehensive control and insights that revolutionize your maintenance processes and maximize your efficiency. With our expertise and modern technologies, you can keep your machines and products in top shape, reduce downtime and extend the service life of your systems. Rely on our experience to make your maintenance strategies future-proof and sustainable.

Our approach

  • Goal definition: We define the specific goals of the project to ensure that everyone involved has a clear idea of the expected results.
  • Stakeholder analysis : We identify and consider the requirements and expectations of all relevant stakeholders to ensure broad acceptance and support for the project.
  • Resource planning: We evaluate the necessary resources, including personnel, technology and budget, to ensure that the project can be carried out efficiently and within the set framework.
  • Risk analysis : We conduct a comprehensive risk analysis to identify potential challenges and obstacles and plan appropriate risk mitigation measures.
  • Scheduling: We create a detailed schedule with clearly defined milestones and deadlines to monitor the progress of the project and ensure that all activities are completed on time.
  • Technology selection: We select the appropriate technologies and tools to be used to collect, process and analyze the data in order to achieve the best possible results.
  • Prototyping: If necessary, we develop prototypes to test the feasibility of the planned solutions and obtain feedback at an early stage.
  • Requirements documentation: We create detailed requirements documentation that serves as the basis for further development and implementation and ensures that all technical and functional requirements are met.

These additional steps ensure that the project is well planned and structured from the outset to ensure the success of the use or business case.

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The Data Science Life Cycle reduces complexity:

USING KI SUCCESSFULLY IN THE CONTEXT OF SMART PRODUCTS

Selected customer projects

Your contact person

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Andreas Lehner, MSc

Head of Innovation, Sales

blue-zone GmbH

T +43 7236 78500-25