Predictive Maintenance

    Discover how other companies in our network use predictive maintenance to identify problems early on—before they lead to downtime. Could a spike in voltage be an early warning sign of a malfunction?

    IIoT Success Stories from Practice

    Companies from our network that have successfully implemented IIoT approaches and created real value.

    Hüdig GmbH & Co. KGVGH VersicherungenRail Cargo GroupSociété Nationale des Chemins de Fer LuxembourgeoisAurubis AGSPALECK GmbH & Co. KGGlobalFoundriesNovofermifm-UnternehmensgruppeTetra PakKROHNE Messtechnik GmbHERA AdvancedWAGO GmbH & Co. KGZF Friedrichshafen AGZEISS MicroscopyTofaşBSHKAEFERGHD Georg Hartmann MaschinenbauJansen ToreMercedes-Benz Group AGWoodward Kempen GmbHDoepke Schaltgeräte GmbHEUROGATEBremboNowy Styl Sp. z o.o.BESI Marine Systems GmbHStadtwerke PyrmontHüdig GmbH & Co. KGVGH VersicherungenRail Cargo GroupSociété Nationale des Chemins de Fer LuxembourgeoisAurubis AGSPALECK GmbH & Co. KGGlobalFoundriesNovofermifm-UnternehmensgruppeTetra PakKROHNE Messtechnik GmbHERA AdvancedWAGO GmbH & Co. KGZF Friedrichshafen AGZEISS MicroscopyTofaşBSHKAEFERGHD Georg Hartmann MaschinenbauJansen ToreMercedes-Benz Group AGWoodward Kempen GmbHDoepke Schaltgeräte GmbHEUROGATEBremboNowy Styl Sp. z o.o.BESI Marine Systems GmbHStadtwerke Pyrmont

    Industry Challenges – Do These Sound Familiar?

    Typical Challenges in Predictive Maintenance

    • How do I identify the optimal time for maintenance measures?
    • How do I efficiently process large volumes of data to generate meaningful forecasts?
    • How do I find technologies and partners who have successfully implemented predictive maintenance?

    Our platform is your shortcut to the solution. We show you how other companies use predictive maintenance to reduce costs and maximise asset availability. Find vetted technologies and partners that bring your projects to success – quickly and efficiently.

    Your use case has already been implemented in practice

    Discover solution examples from our network

    AI-supported level monitoring of casting resin drums
    ifm-Unternehmensgruppe Logo
    io link Logo

    AI-supported level monitoring of casting resin drums

    08.05.2026Read more →
    Pump monitoring for predictive maintenance and reduced downtime
    Akenza AG Logo
    Currenta Conneqtive Logo
    Tech Logos (Technologien)   LORAWAN Logo

    Pump monitoring for predictive maintenance and reduced downtime

    30.04.2026Read more →
    Detecting corrosion under insulation early with IoT monitoring
    KAEFER Logo
    ML!PA Consulting GmbH Logo

    Detecting corrosion under insulation early with IoT monitoring

    23.04.2026Read more →
    Connect high-end microscopy systems – centralized data makes service predictable
    ZEISS Microscopy Logo
    doubleSlash Net-Business GmbH Logo

    Connect high-end microscopy systems – centralized data makes service predictable

    09.04.2026Read more →
    Detect downtime in intralogistics earlier
    GlobalFoundries Logo
    Smart Systems Hub GmbH Logo

    Detect downtime in intralogistics earlier

    27.03.2026Read more →
    Digital service portal as a white-label solution
    Albrecht Bäumer GmbH & Co. KG Logo
    IXON Logo
    opc ua Logo
    mqtt Logo

    Digital service portal as a white-label solution

    23.02.2026Read more →
    IoT-based pump control saves energy in maritime shipping
    BESI Marine Systems GmbH Logo
    Exor International SpA Logo

    IoT-based pump control saves energy in maritime shipping

    08.01.2026Read more →
    Operating compressed air compressors efficiently with remote monitoring
    PSsystec Logo
    nb iot Logo
    lte m Logo

    Operating compressed air compressors efficiently with remote monitoring

    20.10.2025Read more →
    IoT system for pressure monitoring of mobile concrete pumps
    Perinet GmbH Logo
    Zentinel MDS Logo
    mqtt Logo
    SPE.jpg Logo

    IoT system for pressure monitoring of mobile concrete pumps

    25.09.2025Read more →
    Scalable IoT architecture replaces historically grown service platform
    doubleSlash Net-Business GmbH Logo
    azure Logo
    kafka Logo
    Apache Spark Logo
    Kapua Logo

    Scalable IoT architecture replaces historically grown service platform

    19.09.2025Read more →
    Capturing expert knowledge in production with AI assistance systems
    XITASO GmbH Logo

    Capturing expert knowledge in production with AI assistance systems

    16.09.2025Read more →
    Early Detection of Pump Failures in Aquaculture Systems
    Honeywell Logo
    Tech Logos (Technologien)   LORAWAN Logo

    Early Detection of Pump Failures in Aquaculture Systems

    11.09.2025Read more →

    Proven applications for Predictive Maintenance

    Bolt monitoring in Predictive Maintenance

    Early detection of damage in Predictive Maintenance

    30 Solution Examples

    With modern sensor technology and smart data analysis, you can detect damage before it escalates. Whether it involves leaks in water pipes, overheating in electrical systems, or mechanical wear – continuous monitoring makes it possible to identify problems early and take targeted action. This not only saves costs but also protects your assets and infrastructure in the long term.

    Leak Detection in Predictive Maintenance

    4 Solution Examples

    Leakage Detection (Air) Sensors detect air leaks in compressed air systems and machinery. Continuous monitoring enables the localization of losses and the initiation of targeted corrective measures. Leakage Detection (Gas) Sensors identify gas leaks in pipelines and systems. Permanent monitoring supports safe operation and reduces unplanned downtime. Leakage Detection (Water) Sensors detect water escaping from systems and pipelines. Deviations in water flow are identified early to prevent damage and downtime.

    Acoustic monitoring in Predictive Maintenance

    3 Solution Examples

    Detecting anomalies through noise patterns. Acoustic sensors diagnose wear and malfunctions in machines based on sound patterns. This precise method reduces unplanned downtime and ensures efficient maintenance planning.

    Moisture measurement in Predictive Maintenance

    4 Solution Examples

    Humidity measurement captures ambient conditions in the form of relative humidity and its changes over defined time periods. It is used to monitor air conditions even in hard-to-reach or non-visible locations.

    Filter monitoring in Predictive Maintenance

    3 Solution Examples

    Efficient maintenance of filter systems. By monitoring pump and fan systems, maintenance events can be predicted and optimized. Sensors capture the status of filter mats or wear data, enabling proactive planning of service interventions.

    Cable and Chain Monitoring in Predictive Maintenance

    10 Solution Examples

    Cable and chain monitoring detects breaks, abrasion, and structural changes in cables and chain links based on movement anomalies and physical measurements. Parameters monitored include tensile and compressive forces, bending radii, insulation resistance, temperature, current, and vibration events.

    Tension/Thrust Monitoring in Predictive Maintenance

    6 Solution Examples

    Digital systems for tension and thrust force monitoring detect mechanical anomalies early to prevent downtime and damage. Integrated into machine controls, they enable immediate responses, protecting processes and assets.

    Temperature measurement in Predictive Maintenance

    9 Solution Examples

    Groundwater level measurement in Predictive Maintenance

    Precise level measurement without maintenance effort! Battery-powered sensors automatically record groundwater levels, for example – even in hard-to-reach areas. The maintenance-free technology enables efficient and reliable data collection.

    Vibration Monitoring in Predictive Maintenance

    11 Solution Examples

    Precise diagnostics through vibration analysis. Monitoring bearings or heat treatment furnaces provides early warning signals for temperature deviations or mechanical irregularities. This ensures production quality and prevents damage.

    Break detection in Predictive Maintenance

    5 Solution Examples

    Detect damage before it gets costly. Breaks or cable stress occur unexpectedly – with serious consequences for production and asset availability. Condition monitoring systems for break detection continuously monitor critical movements and report the smallest deviations in real time. This prevents consequential damage and enables targeted maintenance planning.

    Benefits of Predictive Maintenance

    Concrete benefits this use case offers for your business.

    Prevention of Unplanned Failures

    Predictive maintenance minimises the risk of unplanned machine downtime through continuous monitoring of critical components. Sensors and data analysis identify anomalies at an early stage so that potential failures can be prevented proactively.

    Optimised Planning and Resource Deployment

    Using condition data, maintenance can be planned precisely. Spare parts, personnel and production time windows are coordinated efficiently, leading to optimised resource utilisation and significant savings.

    Cost Savings Through Precise Maintenance

    Unnecessary maintenance work is eliminated, as interventions only take place when the actual condition of the machine requires it. This significantly reduces both direct maintenance costs and downtime.

    Extended Machine Lifespan and Performance

    Predictive maintenance ensures gentle use of assets. By detecting and addressing wear at an early stage, the lifespan of machines is extended while their efficiency is maintained.

    Well-Founded Data-Based Decisions

    The continuous collection and analysis of machine data provides a solid basis for strategic decisions. Companies can identify trends, adapt their maintenance strategy and continuously improve production processes.

    Sustainability and Efficiency Gains

    Through the targeted use of resources and reduction of downtime, predictive maintenance contributes not only to cost reduction but also to more sustainable use of materials and energy.

    Get inspired or find targeted solutions

    – Your IIoT use cases at a glance

    Questions about Predictive Maintenance?

    Contact us and learn how you can successfully implement IoT solutions for Predictive Maintenance in your company.

    IoT Use Case

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