Condition monitoring
Smart solutions for reliable condition monitoring
Recognize early. Act wisely.
Condition monitoring allows you to monitor machines in real time – precisely, reliably and predictively. Intelligent sensor technology detects deviations at an early stage, prevents downtime and reduces repair costs. The result: maximum availability, greater efficiency and data-supported maintenance that works.
Prevent unplanned downtime
Unplanned downtime is expensive – and often avoidable. Condition monitoring enables continuous tracking of equipment conditions such as temperature, vibration, pressure, or power consumption. This allows deviations to be detected early and potential damage to be identified before it becomes a problem. Maintenance is no longer performed at fixed intervals, but as needed – targeted, efficient, and without unnecessary interventions.
Predictive maintenance uses the recorded condition data to predict wear and breakdowns. Intelligent algorithms calculate the optimum time for maintenance – before damage occurs. The prerequisite for this is seamless, smart data collection – it paves the way for predictive, targeted maintenance and a sustainable increase in system performance.
Your opportunities and benefits through condition monitoring
Analysis from day 1
Simulation-supported commissioning: error states are trained in advance. The analysis tool is fully functional from the first use.
Adaptable & adaptive
Machine learning recognizes even complex patterns and changes – without manual rule programming. Models learn and automatically adapt to changes.
Upgrade for old systems
Retrofitting with wireless, energy-autonomous sensors – without any intervention in the system. Ideal for machines without digital interfaces or infrastructure.
Efficiency & availability
Early fault detection avoids downtime and reduces repair costs. Data-based maintenance increases productivity and process reliability in the long term.
Our offer
Requirements definition
Together with the customer, we define objectives, framework conditions and specific requirements for the condition monitoring system. In this way, we create the basis for a targeted, technically and economically optimal solution.
Feasibility analysis
We analyze the current system status, create a fault catalog and evaluate the potential benefits of data-based condition monitoring – including technical feasibility and economic relevance.
Implementation plan
Based on the analysis, we develop a tailor-made concept with a concrete action plan. Project milestones are defined, regularly evaluated and adapted if necessary.
Data acquisition system
The implementation phase starts with an initial data recording. We obtain real operating data through initial series of measurements with standard and laboratory sensors. In this way, we check feasibility without high investments and create a sound basis for system development.
Algorithms & Tests
We develop application-specific algorithms and test them in functional prototypes under realistic conditions (e.g. test bench, pilot plant). The models are refined and validated on the basis of data.
Prototype
If the prototype meets the defined requirements, we support the transition to series production, including the selection of suitable industrial partners, certification and production concept.
Whitepaper “Condition Monitoring”
Information sheet “Condition Monitoring”
Your benefit from condition monitoring
Higher efficiency, longer service life and better quality with lower costs and less use of resources. We develop customized solutions and bring state-of-the-art technologies directly into your application.
Erwin Schimbäck
Business Area Manager Sensors & Communication
Our condition monitoring projects
Early fault detection for all injection molding machines
Early fault detection for all injection molding machines Reduction of machine downtimes By detecting anomalies in injection molding machines at…
Fault detection in a dedusting system
Condition monitoring of cutting processes Detection of incorrect activation of valves In a dust extraction system, the incorrect switching of…
Condition monitoring of cutting processes
Condition monitoring of cutting processes Quality assurance in fiber production Lenzing produces a wide variety of fibers from the raw…
