Grip on maintenance
Predictive maintenance
for industrial installations
Ongeplande stilstand kost jouw bedrijf geld. Of het nou om een paar uur of een week gaat; iedere ongeplande productiestop is een stop te veel. Je bent niet de enige. Onderzoek laat zien dat bedrijven wereldwijd naar schatting 50 miljard euro per jaar kwijt zijn aan onverwachte uitval. De oorzaak? Gebrek aan inzicht.
Sensor Partners helpt je om dat inzicht wél te krijgen. Sensor Partners biedt alle ingrediënten voor Predictive Maintenance op maat van jouw bedrijf. Zonder ingewikkeld gedoe. Gericht op de assets die jou het meeste opleveren.
- Plug. Meet. Know.
- Less unplanned downtime
- Schedule Maintenance at the Right Time
Plug. Meet. Know.
Why start with Predictive Maintenance?
Predictive Maintenance vermindert stilstand, vergroot jouw efficiency en verlaagt de kosten. Je hoeft jouw hele productieomgeving niet om te gooien om te beginnen met voorspellend onderhoud. Begin klein. Kijk naar de assets met de grootste impact op jouw proces en pluk direct de vruchten.
Prevent unplanned downtime
Failures that disrupt production, planning, or delivery reliability require earlier insight into deviations.
Stop maintenance at fixed intervals
Not every part wears out at the same rate. Replacing parts prematurely can be costly. Condition-based measuring helps to better time maintenance.
Monitor hard-to-reach installations
Assets that are difficult to inspect manually are well suited for continuous or periodic monitoring.
Let's get started with Predictive Maintenance
Plan a conversationWhat Sensor Partners can do for you
Predictive maintenance only truly works when the measurement matches the problem and there is follow-up within your organization. That's why we help you on three levels: individual products, in-depth advice, and a concrete proposal including implementation.
Loose products for condition monitoring
We supply sensors and measurement solutions that help you reliably capture condition indicators. This includes measurements related to vibration, temperature, and sound/ultrasound, along with the appropriate mounting and boundary conditions. This allows you to build a measurement basis on which you can make decisions.
View productsAdvice that leads to action
PdM is not a dashboard project. It's about translating signals into maintenance actions. We help with developing a measurement plan, choosing measurement principles per asset, and determining threshold values and follow-up.
Customized offer and implementation
Do you want to take a first step or scale up? We'll translate your situation into a concrete proposal. Clear scope, distinct deliverables, and an approach that suits your technical environment.
Start directly?What sensors are used?
Predictive maintenance is not a fixed solution with one type of sensor. The suitable measurement solution depends on the asset, the failure pattern, and the environment in which measurements are taken. In practice, signals such as vibrations, temperature, pressure, level, position, or energy consumption are often considered.
From maintenance issues to suitable measurement solutions
In 5 steps to results
Every situation demands a different approach. That's why Sensor Partners looks not only at sensors but, above all, at your assets, processes, and maintenance challenges. In five clear steps, we work towards a solution that fits your reality.
Asset analysis and prioritization
Together, we map out which installations are critical, where failures have the most impact, and where monitoring can add direct value. This allows us to start with a focused approach and build on what is truly relevant to your situation.
Meeting strategy
We determine which signals provide insight into the condition of your assets, such as vibration, temperature, pressure, or consumption. We also advise on which sensors and setup best suit your application and environment.
Implementation: What does the solution look like?
We translate the issue into a suitable solution that works in practice. This can start with a defined pilot or directly with a targeted application that allows you to quickly build insight.
Insight and Optimization
The measurement data makes deviations and trends visible, allowing maintenance to be better planned and risks to be identified earlier. Based on these insights, the solution can be further refined, expanded, or incorporated into a broader maintenance approach.
Sensor Support MeetUp
Build further on the implementation? With the Sensor Support MeetUp Sensor Partners remains involved even after that. This allows for periodic joint discussions on measurements, deviations, and next steps.
What is your industry?
Every sector has its own processes, risks, and critical installations. Look at each industry to see where monitoring can make the biggest difference.
Food & beverages
Prevent disruptions in critical production processes.
Manufacturing industry
Detect wear and anomalies earlier.
Water and wastewater
Monitor critical assets within water processes.
Process industry
Monitor critical processes more reliably.
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Frequently asked questions about Predictive Maintenance
Predictive maintenance is maintenance that you plan based on measured condition. You measure signals that say something about wear or deviations, so you intervene sooner and limit unexpected downtime. Read our extensive article here: “Predictive maintenance is a maintenance strategy that uses condition-monitoring tools and techniques to track the condition of in-service equipment and facilities. This allows for the prediction of when maintenance should be performed.“
PdM is primarily interesting when downtime, quality loss, or safety risks have an impact, and when you have assets where wear or deviations can be measured. It works best when you also organize follow-up: measure → interpret → act.
Preventive maintenance is based on time or operating hours. Predictive maintenance is based on condition and trends. This allows you to sometimes postpone maintenance or schedule it earlier if signals indicate it.
Common measurement principles include vibration analysis, temperature measurement (contact or IR), ultrasonic/acoustic, and in some situations current/motor analysis. What is relevant depends on the asset type and failure mode.
Not necessarily. You can start with a focused pilot on critical assets, with a clear measurement question and follow-up process. Then, you scale up based on results and support.
Start with the problem you want to prevent: what goes wrong, how does it manifest, and where can you reliably measure it? Then look at the environment (dust, moisture, temperature), assembly, accuracy, and integration.
PdM can contribute to less unplanned downtime, better planned stops, and more control over maintenance. The exact yield varies per situation and depends on assets, follow-up, and process design.
Often, you can quickly start with an intake and a pilot on a few critical assets. The lead time depends on the scope, data collection, and any integration.
