One of the biggest pain points for your maintenance team is unplanned downtime. This can be caused by general wear and tear, operator error, product changeover, and so on. However, a strong predictive maintenance strategy can reduce downtime surprises and optimize the usage of your maintenance resources.
What is predictive maintenance anyway?
Predictive maintenance is focusing on monitoring a machine or a machine component in a way that you are able to avoid unplanned downtime by catching machine failure before it happens and taking preventative action. This is achieved by utilizing condition monitoring tools like sensors for tracking temperature and vibration and hours counters.
What are the maximum and minimum temperatures?
There are two temperatures you should be concerned with: ambient operating temperature and temporary part temperature. Each is important for the long-term function of the belt. Ambient temperatures that are too cold can lead to brittleness and cracking of the belt; temperatures that are too high could lead to belt stretch or delamination at the splice. Short-term part temperature specifications ensure hot parts don’t damage the surface of the belt when they’re placed or dropped onto the conveyor.
Packaging machines most prone to downtime:
– Form, fill, and seal
– Labeling, decorating, and coding
– Filling and dosing
Condition Monitoring Solutions from Balluff
Balluff utilizes their smart automation and monitoring systems as solutions for predictive maintenance in the packaging industry. Some of their solutions include being able to capture the health of the device and health of the machine, condition monitoring, and monitoring the environment. They can also monitor temperature, vibration, pressure, counting, sorting, and process data.
Balluff offers the most ideal solution for monitoring your machines and systems. Using Balluff sensors, for measuring or monitoring temperature, pressure, and levels provides data on the condition of the machines that will ultimately decrease the chance of downtime from an issue. This will also allow maintenance coordinate more easily because of sensors detecting something such as wear on components. One of Balluff’s ultimate goals is to increase reliability in the automation of your production and Balluff has the products necessary to meet that goal.
Three predictive maintenance solutions Balluff offers:
This sensor features a convenient and easy–to–read display to watch pressure ranging from –1 to 600 bar. This compact and robust sensor is high–quality stainless steel and rated for hygiene and washdown machines.
This media–contacting temperature sensor detects process temperatures continuously or with switching function – in liquid or gaseous media. There are models available with and without display for any application requirements
There are multiple measurands within this one device: vibration, temperature, relative humidity and barometric pressure. To add to those uses, there is a self–awareness function for sensor self–monitoring. It is fast to connect, simple to incorporate using IO–Link and status indicators can even be configured.
Bringing it full circle
How does predictive maintenance effect Overall Equipment Effectiveness? OEE measures manufacturing productivity, specifically capturing availability, that the process is always running during planned production time, performance meaning the process is running as fast as possible, and the quality of product with no defects. Measuring OEE is a best practice because it gives you crucial insights on how to improve your manufacturing process. Using solutions, such as Balluff’s sensors, for predictive maintenance will in return improve the productivity of manufacturing equipment which will then improve the OEE.
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