Industrial Analytics

Analyse, display, predict – with Industrial Analytics

Industrial Analytics

Optimise your plant availability, product quality, service & maintenance

Whether you want to improve condition monitoring, increase plant availability or ensure product quality – you can achieve these goals with smart, data-driven services. The methods and tools of Machine Learning (ML) make it possible to provide previously untapped access to industrial machine data, to identify unknown correlations and thus to create concrete added value. To make the implementation of such services efficient and cost-effective, we show you solutions from IoT data acquisition at the machine to ML self-service without your own data science experts. Use the potential of your data.

Applications for Industrial Analytics

Condition monitoring as a basis

For efficient machine and process monitoring

Every unplanned production stop, even of individual machines, generates additional effort, higher costs and lower output. Data-driven, continuous and best possible condition monitoring is an essential basis for maximum availability of machines and plants.

Improve system availability

This is how condition monitoring leads to concrete benefits

On the basis of continuous condition monitoring, there are various use cases that contribute to the goal of maximum plant availability. Keeping a constant eye on the machine and system status, recognising errors or anomalies at an early stage, initiating the necessary measures before a malfunction occurs.

Ensure product quality

Derive indications of product quality from the process data

Based on the process data and their evaluation using ML technologies, it is possible in many cases to draw conclusions about the quality of the manufactured products. On the basis of selected process parameters, ML-based patterns can be recognised that can be assigned to a specific process state.

Optimise service & maintenance

From condition monitoring to predictive maintenance

Condition monitoring directly results in the possibility of optimising the service and maintenance of machines and plants. In future, service and maintenance will no longer be preventive or reactive, but condition-based and predictive, from which new business models can be developed.

Our offering

Use our expertise in Industrial Analytics as an accelerator for your plans. We are the partner at your side, with in-depth knowledge of the IoT and Analytics team, our experience from our own industrial application as well as from diverse customer projects. From data science consulting and customised analytics solutions to Industrial AutoML Self-Service.

Benefit from machine learning without data science skills

Benefit from machine learning without data science skills

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Watch our 2-minute animation for a compact overview of the Weidmüller Industrial AutoML solution including its key benefits and an explanation on how it works.

Our Industrial Analytics solutions in use

Satisfied customers with concrete solutions are the best references. We bring 35 years of experience in the field of industrial software. Together we continuously develop innovative, sustainable and useful solutions for your individual needs. One focus is on Industrial Analytics and Machine Learning-based applications.

Thanks to the technical and methodical competence, the good cooperation and the commitment in the proof of concept, we were able to quickly and easily identify the potential of the existing data. Based on the first evaluations, we were already able to implement improvements in our process.

Daniel Hanebrink, Industrial Engineering, Miele & Cie. KG

Perfect complements

To enable holistic end-to-end solutions in industrial applications, a successful interaction of hardware, software and services is required. This includes, for example, an extensive IIoT product portfolio and corresponding experience in the area of software application development. In line with our goal as "enabler from data to value", we offer you the perfect complementations.