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How SAM4 detects developing asset faults in the steel industry

In this report, we explain exactly how SAM4 detects common faults in hot strip mills using actual results from anonymized SAM4 data, to help steel engineers evaluate SAM4’s value for their own operations.

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SMS group and Semiotic Labs sign collaboration agreement

Semiotic Labs, a scale-up company based in Leiden, Netherlands, and SMS group have signed an agreement under which the two companies will cooperate in the field of predictive maintenance.

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The maintenance strategy comparison cheat sheet

This article will examine the differences between predictive maintenance and other widely used maintenance strategies.

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SAM4 predictive maintenance key features overview

SAM4 helps companies maximize uptime, cut costs and boost sustainability by monitoring the health of their industrial assets.

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The business case for predictive maintenance

This white paper will shed light on the main value drivers for predictive maintenance and provide guidance to help you compute the business case for your own predictive maintenance efforts.

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SAM4 (MCSA + voltage) vs. vibration analysis

See how SAM4 predictive maintenance (driven by motor current signature analysis (MCSA) and voltage measurements) compares to vibration analysis.

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Nouryon to use digital technology from Semiotic Labs to boost plant reliability

Nouryon has signed a framework agreement to implement self-learning technology developed by Semiotic Labs that helps predict when to maintain and replace pumps and other rotating equipment.

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  • News
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Semiotic Labs and Schneider Electric sign collaboration agreement

  Leiden, 17th December 2019 Semiotic Labs,…

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Handheld vs. online condition monitoring

Although the practical differences between handheld and online condition monitoring (CM) might seem obvious, the way in which each method is used can differ significantly.

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