Information of Automation Manufacturers

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 manage

specific production processes. From laser cutting to iron casting. Creating faster, and more efficient

operations, with less expert supervision.

ABB and Viking Analytics

ABB is a leading manufacturer of automation and electrical equipment. It has seen increasing demand from its customers for predictive maintenance tools.

In response, it has bought a stake in Swedish condition monitoring software startup, Viking Analytics. Viking has developed an artificial intelligence assisted,

vibration monitoring application called MultiViz Vibration. ABB has integrated the predictive analytics engine from Viking into the deployment of its own

Ability Asset Manager. The combined solution can predict and prevent equipment faults.

Viking Analytics won ABB’s Electrification Startup challenge in 2020. Since then, the two companies have collaborated on applications and the visualisation

of data from condition monitoring sensors.In the past, Viking Analytics has worked on other applications of artificial intelligence in industrial automation. This

includes enabling automated pouring operations in iron foundries. It developed machine-learning algorithms to make rapid adjustments that would otherwise

need intervention from an experienced operator.

Siemens Xcelerator

Xcelerator is a software platform under which Siemens deploys many different artificial intelligence applications, including MindSphere and Predictive Services.

MindSphere is Siemens’ main industrial automation and internet-of-things solution. It implements a wide array of smart solutions, from predictive maintenance

to locating sewer obstructions. Siemens has used MindSphere machine-learning models on many of its own production sites to detect developing faults, plan

maintenance, assess process stability and predict product quality.

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