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OPC Foundation News From Hannover

Gary Mintchell

“Lack of interoperability is a key barrier when exchanging data and information between different industrial platforms. Especially in the context of data sharing and thus of data ecosystems, OPC UA can contribute to a uniform standard for the transmission of data between different systems in the context of Industrie 4.0.

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Condition-Based Maintenance vs. Predictive Maintenance

ATS

Defining terms: understanding condition-based maintenance and predictive maintenance When trying to preserve the longevity and efficiency of your machinery, knowing the best maintenance plan for your specific application(s) is critical.

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Machine Downtime in Manufacturing

ATS

This blog explores the topic of machine downtime and gives readers some tools for finding and addressing the root causes. Downtime refers to any time when production equipment is not available to run, but there is work for it to do. It’s disruptive and expensive, it leads to accidents, and it causes a lot of waste.

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Precision Maintenance vs. Predictive Maintenance

ATS

If you’re unfamiliar with what these terms represent, you might be led to believe you have to choose one over the other. They may sound like competing ideas, but in many cases they’re complementary. Take, for example, precision maintenance vs. predictive maintenance.

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How to Utilize AI in Asset Management

ATS

Whether it’s short-term catch up or long-term maintenance relief, the key issue AI addresses is downtime. AI’s ability to analyze and process vast amounts of data is helping industries streamline operations, improve efficiency and maintain optimal asset conditions.

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Navigating Stakeholder Buy-In for Manufacturing Innovation

ATS

From there, the process continues by putting together a proposal, in terms the decision-makers can understand. Quantify benefits Determine the result of solving the problem in numerical terms. Gathering data Decision-makers will want quantification of the problem and the benefits. Getting these numbers requires data collection.

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The Use of Soft Sensors in Manufacturing and Maintenance

ATS

Like physical sensors, soft sensors report measurement data. In both approaches, software infers the value of the “measured” variable from other inputs, hence the term, “inferential sensor.” Being implemented as software rather than hardware, they are also sometimes referred to a “virtual sensors.” What are soft sensors?