Where are automation manufacturers investing in artificial intelligence?

Advanced predictive maintenance tools are leading the way for investment from many automation

manufacturers.These tools use artificial intelligence to detect faults early and prompt timely repairs.

This reduces the cost of automation ownership and increases its availability.

Platforms for rolling out bespoke machine-learning models are also appearing.

These models managespecific production processes.

From laser cutting to iron casting.Creating faster, and more efficientoperations, with less expert supervision.

ABB and Viking Analytics

ABB is a leading manufacturer of automation and electical equipment.

It has seen increasing demand from it customers for predictive maintenance tools.ln response,

it has bought a stake in Swedish condition monitoring software startup, Viking Analytic.

Niking has developed an artificial intelligence assisted,vibration montoring application called MutiViz Vibration.

ABB has integrated the predictive analytics engine from Viking into the deployment of its ownAbility Asset Manager.

The combined solution can predict and prevent equipment faults.

Viking Amnatytics won ABB's Electification Startup challenge in 2020.Since then.

the two companies have colaborated on applications and the visualisationof data from condition montoring sensors.

ln the past,Viking Analytics has worked on other appications of artifcial ntelligencein indutial automation.

Siemens Xcelerator

Xcelerator is asotware platom under which Siemens deploys many diffrentartificial inteligence apications,including MindSphere and Predictive Services.

MindSphere is Siemens'main industrial automation and internt-of-things solution .

It implement a wide array of smart soutions,from predictive maintenanceto locating sewer obstuctions.

Siemens has used MindSphere machine-leaming models on many of its own productio sites

to detect developing fault,planmaintenance, assess process stability and predict product quality.

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