Condition monitoring
Health check for upright bearings
ABB adapts smart sensor technology to pillow block bearings from Dodge. The aim is to avoid unscheduled downtimes and extend the service life of systems.
As part of the Ability Condition Monitoring portfolio for the drivetrain, ABB is launching the Ability Smart Sensor for Dodge brand pillow block bearings, which enables bearing health checks. The smart sensor technology provides early indications of potential problems by analyzing the bearing condition based on vibration and temperature data. As a result, downtime can be avoided in applications such as bulk material handling systems, which are often used in mining, aggregate and cement production as well as applications in the food and beverage industry.
The Smart Sensor for Pillow Block Bearings uses algorithms to analyze, manage and ensure component performance. 80 percent of bearing failures are due to lubrication, and a bearing running hot can indicate inadequate lubrication. Monitoring bearing vibrations can indicate potential equipment problems.
The Smart Sensor is attached to the warehouse and communicates wirelessly via a smartphone or Bluetooth gateway, for example. This capability ensures the safety of employees and enables easy access to warehouse data in places that are difficult or dangerous to access.
"Bearings are critical components in conveyor systems and are often the first indicator of a system problem," says Jonas Spoorendonk, Digital Portfolio Manager Motors & Generators at ABB Automation Products. "Displaying the bearing condition enables personnel to quickly and reliably identify a potential problem so that maintenance can be planned and an unforeseen shutdown avoided."
The ABB Ability Smart Sensor for pillow block bearings is part of the Ability portfolio, which brings together all of the company's digital solutions and services. Each of these solutions and services is based on an individual combination of industry expertise, technology leadership and digital experience. This allows customers to compare the performance data of the bearings across the entire system or plant. as
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